text to speech google ai

Introduced in 2016, WaveNet was one of the first AI models to generate natural-sounding speech. Since then, it has inspired research, products, and applications in Google — and beyond.

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The challenge

Learning from human speech, rapid advances, the power of voice, widespread legacy.

For decades, computer scientists tried reproducing nuances of the human voice to make computer-generated voices more natural.

Most text-to-speech systems relied on “concatenative synthesis” — a pain-staking process of cutting voice recordings into phonetic sounds and recombining them to form new words and sentences - or DSP (digital signal processing) algorithms known as "vocoders".

The resulting voices often sounded mechanical and contained artifacts such as glitches, buzzes and whistles. Making changes required entirely new recordings — an expensive and time-consuming process.

WaveNet took a different approach to audio generation by using a neural network to model predict individual audio samples. This approach allowed WaveNet to produce high-fidelity, synthetic audio, allowing people to interact more naturally with their digital products

WaveNet rapidly went from a research prototype to an advanced product used by millions around the world.

Koray Kavukcuoglu Vice President of Research

WaveNet is a generative model trained on human speech samples. It creates waveforms of speech patterns by predicting which sounds are most likely to follow each other, each built one sample at a time, with up to 24,000 samples per second of sound.

The model incorporates natural-sounding elements, such as lip-smacking and breathing patterns. And includes vital layers of communication like intonation, accents, emotion — delivering a richness and depth to computer-generated voices.

For example, when we first introduced WaveNet, we created American English and Mandarin Chinese voices that narrowed the gap between human and computer-generated voices by 50%.

WaveNet is a general purpose technology that has allowed us to unlock a range of new applications, from improving video calls on even the weakest connections to helping people regain their original voice after losing the ability to speak.

Zachary Gleicher Product Manager

Early versions of WaveNet were time consuming to interact with, taking hours to generate just one second of audio.

Using a technique called distillation — transferring knowledge from a larger to smaller model — we reengineered WaveNet to run 1,000 times faster than our research prototype, creating one second of speech in just 50 milliseconds.

In parallel, we also developed WaveRNN — a simpler, faster, and more computationally efficient model that could run on devices, like mobile phones, rather than in a data center.

Both WaveNet and WaveRNN became crucial components of many of Google’s best known services such as the Google Assistant, Maps Navigation, Voice Search and Cloud Text-To-Speech.

They also helped inspire entirely new product experiences. For example, an extension known as WaveNetEQ helped improve the quality of calls for Duo, Google’s video-calling app.

But perhaps one of its most profound impacts was helping people living with progressive neurological diseases like ALS (amyotrophic lateral sclerosis) regain their voice.

In 2014, former NFL linebacker Tim Shaw’s voice deteriorated due to his ALS. To help, Google’s Project Euphonia (developed a service to better understand Shaw’s impaired speech.

WaveRNN was combined with other speech technologies and a dataset of archive media interviews to create a natural-sounding version of Shaw’s voice, helping him speak again.

WaveNet demonstrated an entirely new approach to voice synthesis that helped people regain their voices, translate content across multiple languages, create custom audio content, and much more.

Its emergence also unlocked new research approaches and technologies for generating natural sounding voices.

Today, thanks to WaveNet, there is a new generation of voice synthesis products that continue its legacy and help billions of people around the world overcome barriers in communication, culture, and commerce.

Text-to-Speech AI 🗣️: Lifelike Synthesis | Google Cloud

Transform text into lifelike speech in over 220 voices & 40 languages with Google Cloud’s Text-to-Speech AI. Utilize…

• Free Paid Plan

• Text to Speech

⚙️  Tech Specs

❑ website registered on:,   1st january, 1970, ❑ is this mobile friendly, ❑ tech stack:, ❑ tool name:,   google text-to-speech, connect with qr.

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❑ use it for:,    text to speech, ❑ pricing options:,    free , paid plan, ❑ suitable tags:,    api , browser based.

Text-to-Speech AI by Google Cloud is a powerful online tool that transforms text into natural-sounding speech using Google’s cutting-edge machine learning technology. With over 220 voices available in more than 40 languages and variants, this API offers high-quality speech synthesis for a wide range of applications. Whether you want to enhance customer interactions, engage users with voice interfaces, or personalize communication based on user preferences, Text-to-Speech AI provides an easy and efficient solution.

🌟 Major Highlights

High fidelity speech: The API generates lifelike speech with humanlike intonation, thanks to Google’s groundbreaking technologies and DeepMind’s speech synthesis expertise. Widest voice selection: Choose from a diverse collection of over 380 voices across 50+ languages and variants, including Mandarin, Hindi, Spanish, Arabic, Russian, and more. One-of-a-kind voice: Create a unique voice to represent your brand by training a custom voice model using your own audio recordings. This ensures that your organization stands out from the crowd. Voice tuning: Personalize the pitch and speaking rate of your selected voice, allowing you to add a touch of uniqueness and adjust the speech to your specific requirements. Text and SSML support: Customize your speech further with SSML tags that enable you to add pauses, numbers, date and time formatting, and other pronunciation instructions. 📚 Use Cases

Voicebots in contact centers: Create dynamic speech responses for customer service voicebots on Dialogflow, providing callers with a sense of familiarity and personalization. Voice generation in devices: Empower your devices to speak in humanlike voices, enhancing user experience and enabling natural interactions. Accessible EPGs (Electronic Program Guides): Improve accessibility for your services and applications by implementing text-to-speech functionality in EPGs, allowing text to be read aloud for a better user experience. 💰 Pricing

Text-to-Speech is priced based on the number of characters processed each month. The first 1 million characters for WaveNet voices are free, while the first 4 million characters for Standard voices are free. After reaching the free tier limit, pricing is per 1 million characters of text processed. Additionally, Google Cloud offers $300 in free credits to new customers along with more than 20 always free products.

With Text-to-Speech AI by Google Cloud, you can effortlessly convert text into natural-sounding speech for a myriad of applications. Experience the power of lifelike speech synthesis and unlock new possibilities for engaging user experiences. 🚀

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Gemini 1.5 Pro Now Available in 180+ Countries; With Native Audio Understanding, System Instructions, JSON Mode and More

April 09, 2024

Grab an API key in Google AI Studio , and get started with the Gemini API Cookbook

Less than two months ago, we made our next-generation Gemini 1.5 Pro model available in Google AI Studio for developers to try out. We’ve been amazed by what the community has been able to debug , create and learn using our groundbreaking 1 million context window.

Today, we’re making Gemini 1.5 Pro available in 180+ countries via the Gemini API in public preview, with a first-ever native audio (speech) understanding capability and a new File API to make it easy to handle files. We’re also launching new features like system instructions and JSON mode to give developers more control over the model’s output. Lastly, we’re releasing our next generation text embedding model that outperforms comparable models. Go to Google AI Studio to create or access your API key, and start building.

Unlock new use cases with audio and video modalities

We’re expanding the input modalities for Gemini 1.5 Pro to include audio (speech) understanding in both the Gemini API and Google AI Studio. Additionally, Gemini 1.5 Pro is now able to reason across both image (frames) and audio (speech) for videos uploaded in Google AI Studio, and we look forward to adding API support for this soon.

Gemini API Improvements

Today, we’re addressing a number of top developer requests:

1. System instructions : Guide the model’s responses with system instructions, now available in Google AI Studio and the Gemini API. Define roles, formats, goals, and rules to steer the model's behavior for your specific use case. Set System Instructions easily in Google AI Studio 2. JSON mode : Instruct the model to only output JSON objects. This mode enables structured data extraction from text or images. You can get started with cURL, and Python SDK support is coming soon. 3. Improvements to function calling : You can now select modes to limit the model’s outputs, improving reliability. Choose text, function call, or just the function itself.

A new embedding model with improved performance

Starting today, developers will be able to access our next generation text embedding model via the Gemini API. The new model, text-embedding-004 , (text-embedding-preview-0409 in Vertex AI ), achieves a stronger retrieval performance and outperforms existing models with comparable dimensions, on the MTEB benchmarks .

These are just the first of many improvements coming to the Gemini API and Google AI Studio in the next few weeks. We’re continuing to work on making Google AI Studio and the Gemini API the easiest way to build with Gemini. Get started today in Google AI Studio with Gemini 1.5 Pro, explore code examples and quickstarts in our new Gemini API Cookbook , and join our community channel on Discord .

• Español – América Latina
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Accurately convert speech into text using an API powered by Google’s AI technologies

• Transcribe your content with accurate captions.
• Deliver better user experience in products through voice.
• New customers get $300 in free credits to spend on Google Cloud. All customers get limited free usage of 20+ products.

Experience the Google Cloud Speech-To-Text difference

State-of-the-art accuracy.

Apply Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR).

Get started with no code

Speech-to-Text UI enables experimentation, creation, and management of custom resources.

Flexible deployment

Deploy speech recognition wherever you need, whether in the cloud with the API or on-premises with Speech-to-Text On-Prem.

Reimagine your business

Make your audio data actionable with high-quality text transcripts. Enable new use cases or simply get an accurate, easy to read transcript of your audio.

Customize speech recognition to transcribe domain-specific terms and boost your transcription accuracy of specific words or phrases.

Choose from a selection of trained models for voice control and phone call and video transcription optimized for domain-specific quality requirements.

Support your global user base with Speech-to-Text service's extensive language support in over 125 languages and variants.

Have full control over your infrastructure and protected speech data while leveraging Google’s speech recognition technology on-premises, right in your own private data centers.

Take the next step

Get $300 free credits towards any Google Cloud product including Speech-to-Text services.

Tell us what you’re solving for. A Google Cloud expert will help you find the best solution.

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How to Use Google Docs Text to Speech: A Step-by-Step Guide

Google Docs Text to Speech is a handy tool that lets you listen to your document instead of reading it. This feature can be useful for multitasking, proofreading, or for those who have difficulty reading text on screens. In just a few steps, you can have Google Docs read your document to you.

Step by Step Tutorial on How to Use Google Docs Text to Speech

Before jumping into the steps, let’s understand what we’re aiming for here. Google Docs does not have a built-in text-to-speech function, but don’t worry – we can use a feature called “Speak” that’s a part of Google’s accessibility features.

Step 1: Open a Google Docs Document

Open the document you want Google Docs to read out loud.

Once you have the document open, make sure your speakers or headphones are connected and working. This is where the voice will come from.

Step 2: Select the Text You Want to Hear

Highlight the text you want Google Docs to read to you.

You can select a word, sentence, paragraph, or the entire document. Just click and drag your mouse over the text.

Step 3: Access the Accessibility Menu

Click on the ‘Tools’ menu at the top of the page, then select ‘Accessibility settings.’

In the Accessibility menu, you’ll find options to make Google Docs easier to use if you have visual or auditory impairments.

Step 4: Enable ‘Speak’

Check the box next to ‘Turn on screen reader support’, then close the Accessibility settings window.

After enabling this feature, a new menu called “Accessibility” will appear on the Google Docs toolbar.

Step 5: Use the Speak Command

Go to the ‘Accessibility’ menu, hover over ‘Speak’, and then select ‘Speak selection.’

As soon as you click ‘Speak selection,’ Google Docs will start reading the text you’ve highlighted. The voice you hear will depend on the default voice settings of your web browser or operating system.

After completing these steps, Google Docs will read the selected text out loud to you. This can be an excellent way for you to listen to your document while doing something else, or it can help you catch errors you might have missed while reading.

Tips for Optimizing Your Experience with Google Docs Text to Speech

• Make sure your internet connection is stable; this ensures that the speak feature works without interruptions.
• Adjust the volume on your computer or device so that the speech is loud and clear enough for you to hear.
• Use headphones for a clearer and more private listening experience.
• If the default voice doesn’t suit you, explore your operating system’s settings to change the voice and speaking rate.
• Utilize the text-to-speech feature for proofreading; hearing your work read aloud can help you catch mistakes you might have missed while reading it silently.

Frequently Asked Questions

Can i change the voice that reads the text.

Yes, you can change the voice in your computer’s system settings or browser settings.

Is Google Docs Text to Speech available on mobile devices?

While Google Docs on mobile doesn’t have the ‘Speak’ feature, most smartphones have their own text-to-speech options you can use.

Does this feature work in languages other than English?

Yes, Google Docs Text to Speech works in multiple languages, depending on the language support of your operating system or web browser.

Can I use Text to Speech on a shared document?

Absolutely, as long as you have permission to view the document, you can use the Text to Speech feature on it.

Is there a way to pause and resume the speech?

Currently, there’s no direct way to pause and resume speech in Google Docs. You would need to stop and then re-select the text to start again.

• Open your Google Docs document.
• Select the text you want to hear.
• Access the ‘Tools’ menu and open ‘Accessibility settings’.
• Enable ‘Speak’.
• Use the ‘Speak selection’ command in the ‘Accessibility’ menu.

Google Docs Text to Speech is a nifty feature that adds an extra layer of convenience to your workflow. It’s particularly useful for those who learn better through auditory means or for anyone looking to proofread their work in a new way. Although it might seem a bit hidden away in the Accessibility settings, once you know where to find it, it’s straightforward to use. If you’ve never tried listening to your Google Docs before, give it a whirl! You might find that it helps you catch errors you’d otherwise miss or simply provides a welcome break from staring at your screen. Happy listening, and remember, Google Docs is more than just a writing tool; it’s a multi-faceted platform that caters to various needs, including those auditory in nature.

Matthew Burleigh has been writing tech tutorials since 2008. His writing has appeared on dozens of different websites and been read over 50 million times.

After receiving his Bachelor’s and Master’s degrees in Computer Science he spent several years working in IT management for small businesses. However, he now works full time writing content online and creating websites.

His main writing topics include iPhones, Microsoft Office, Google Apps, Android, and Photoshop, but he has also written about many other tech topics as well.

Read his full bio here.

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Google's TTS AI: Elevating Speech Synthesis for Next-Gen Applications

Unreal Speech

Google's tts ai: elevating speech synthesis for next-gen applications.

Google's Text-to-Speech AI is reshaping the landscape of speech synthesis with its state-of-the-art API, ushering in a new era where text is seamlessly and naturally converted into speech. This technological leap brings with it an array of benefits, from enhanced user interfaces to enriched customer interactions, allowing for the creation of engaging digital experiences across numerous domains. The API's ability to personalize responses in real-time and in the user's preferred voice and language underscores its potential to revolutionize the way businesses and individuals interact with technology. These advancements signal Google's commitment to driving innovation within the field of artificial intelligence, pushing the boundaries of what's possible with automated voice generation.

With the introduction of such powerful TTS capabilities, software engineers and developers have a tool that not only meets the demands of today's digital audience but also supports the future of accessible and interactive technology. Whether it's assisting users through voice-guided navigation, providing educational content in audiobook format, or enabling immersive gaming experiences with dynamic character dialogue, Google's TTS AI stands as a pivotal component for developers. The API's accessibility and customization options allow for its adaptation to serve a variety of use cases, making it a versatile choice for professionals looking to integrate advanced audio solutions into their applications.

Google's Text-to-Speech API Overview

Google's Text-to-Speech (TTS) API stands at the forefront of computational linguistics and artificial intelligence (AI), providing developers with the tools to implement high-quality speech synthesis in their applications. To fully engage with the features and capabilities of Google's TTS technology, it's essential to become conversant with the fundamental terms that will be encountered. This glossary will serve as a valuable resource throughout your exploration and application of Google's TTS AI.

TTS (Text-to-Speech): The technology that turns textual content into synthesized spoken output.

API (Application Programming Interface): An intermediary that allows different software components to communicate with each other, crucial for adding TTS functionality to applications.

AI (Artificial Intelligence): The simulation of human intelligence in machines, enabling them to perform tasks that typically require human-like understanding and reasoning.

Neural Networks: Data processing paradigms that mimic the neural pathways of the human brain to recognize complex patterns and make decisions.

Natural Language Processing (NLP): A field of AI focused on the interaction between computers and human language, facilitating the understanding and processing of speech and text.

Synthesis: The process of combining individual sound elements to produce a complete audio output in TTS systems.

Customization: The ability to adjust TTS output to suit specific user preferences or requirements, such as selecting different voice types and modifying speech cadence.

Voice User Interfaces (VUI): User interfaces that enable interaction through voice rather than traditional input methods, enhanced by TTS technologies for more natural interaction.

Computational Linguistics: The study and application of computer science to analyze and process language, foundational to developing powerful TTS systems.

User Engagement: A measure of a user's interaction with technology, which can be amplified by the seamless integration of realistic-sounding TTS.

Enhancing User Interactions through TTS AI

Google's Text-to-Speech AI utilizes the company's advanced AI technologies to transform the written text into speech that is natural and easy to understand. New customers can engage with this innovative tool and explore its capabilities using a generous $300 credit offer, which is a significant incentive for adopting the service. Google's Text-to-Speech AI is expertly crafted to cater to various environments, significantly broadening the scope of applications where TTS can be effectively integrated. From mobile apps to web interfaces, the potential use cases of this service are extensive.

By focusing on user-centric features, Google's Text-to-Speech AI seeks to improve customer interactions with lifelike, intelligent voice responses. The intricate design of the API suggests it facilitates a high level of customization, allowing developers to tailor the voice characteristics to suit different preferences in terms of accent, language, and speech style. This ability to personalize voice and language plays a key role in enhancing the end-user experience, making the API a vital component in building attractive and functional voice user interfaces.

In addition, there is excitement around the upcoming Applied AI Summit scheduled for December 13, which Google has announced as a valuable resource for those looking to further their skills in AI application development. The event will not only share expertise but also promote Google's suite of AI tools. While specific details about the authors or affiliates are not mentioned in this brief, the summit is a clear indication of Google's dedication to empowering users through education and resource provision within the realm of AI development.

The Applied AI Summit

The Applied AI Summit, scheduled for December 13, serves as a platform for deepening understanding and enhancing skills within the realm of AI applications. This event aligns with Google's continued commitment to fostering an ecosystem where its powerful cloud-based Text-to-Speech services can be wielded to create innovative, responsive solutions. Those participating will be able to unlock new capabilities, learn about the latest trends, and potentially increase the quality of their AI-driven development projects.

Offering access to on-demand resources, this summit showcases Google's strategic approach to empowering developers, researchers, and tech professionals with knowledge and practical insights. The summit is likely to cover a broad spectrum of topics, including neural network training for TTS, the integration of AI in various industries, and advanced methodologies for building more human-like synthetic voices.

The emphasis on the use of TTS AI tools throughout this event underscores the value these technologies bring to spurring intelligence within applications. Through the summit, Google provides a pathway for those invested in AI innovation to expand their expertise and learn the intricacies of integrating state-of-the-art voice technology into their solutions, a step that speaks volumes about Google's dedication to driving the frontiers of AI learning and application.

Developing Applications with Google's TTS

Quickstart guide to google's tts api.

Developing applications with Google's TTS API offers a streamlined process for adding speech functionality. This API simplifies the conversion of text into natural-sounding speech using Google's renowned AI technologies. A quickstart guide for Google's TTS might include setting up the Google Cloud Platform project, enabling the TTS API, and installing the client library. Programmers can then use the following Python sample to get started:

This snippet demonstrates a basic request to synthesize speech from text and save it as an MP3 file. While using this API, developers must handle credentials securely and consider the cloud resource usage as per their Google Cloud plan.

Advanced TTS Customization Techniques

For an advanced customization of speech output, Google's TTS API provides a variety of options. Users can select different voices, including WaveNet voices, control parameters such as pitch, speed, and volume for a more tailored audio experience. Below is an example of how these parameters can be set in a Python script:

from google.cloud import texttospeech # Initialize the client client = texttospeech.TextToSpeechClient() # Prepare the request input_text = texttospeech.SynthesisInput(text="Your customizable text") voice_params = texttospeech.VoiceSelectionParams(language_code="en-US", name="en-US-Wavenet-D") audio_config = texttospeech.AudioConfig(audio_encoding=texttospeech.AudioEncoding.MP3, speaking_rate=1.2, pitch=5) # Execute the TTS request response = client.synthesize_speech(input=input_text, voice=voice_params, audio_config=audio_config) # Handle saving the binary audio content with open("customized_speech.mp3", "wb") as audio_file: audio_file.write(response.audio_content)

This expanded example shows the use of a WaveNet voice and custom attributes to generate a more personalized speaking style. Appropriate choice of voice and settings can significantly enhance the user's auditory experience in applications.

Applications of TTS

Unreal Speech's text-to-speech synthesis API marks a substantial reduction in cost without compromising on quality, offering up to a 90% cut on traditional TTS services. Academic researchers can immensely benefit from this cost efficiency as it significantly lowers the entry barrier to high-quality TTS tools. This allows for more accessible experimentation with natural language processing and speech analysis within their research while adhering to strict budgetary limits.

Software engineers are provided with an agile and cost-effective API that's simple to incorporate into development cycles, optimizing operational budgets. The Unreal Speech API's flexibility in handling an extensive range of characters, with scalable plans, ensures smooth integration into large-scale projects that demand consistent voice output. For game developers, this can translate to creating more realistic and engaging in-game audio experiences at a competitive price.

Educators and content creators looking to implement TTS technology to enhance learning experiences will find the platform's volume discounts particularly advantageous. With its emphasis on delivering high-quality audio, even at higher volumes, Unreal Speech can support the proliferation of educational content across various mediums, from audiobooks to interactive learning modules. The API's easy-to-use interface ensures a quick setup, aiding educators in rapidly deploying TTS features to meet educational needs.

Common Questions Re: TTS AI

Unlocking the potential of neural tts.

Neural TTS leverages advanced neural network architectures to generate speech that closely mimics the nuances of human voices, providing a more natural listening experience compared to traditional TTS technologies.

Exploring Neural Networks in TTS

Neural networks in TTS systems analyze vast datasets of human speech to learn how to produce accurate and lifelike speech patterns, which is a significant step beyond the capabilities of older, rules-based synthesis methods.

In-Depth Look at Realistic TTS Voices

The most realistic TTS voices are now created using deep learning techniques that allow for subtle nuances in speech, such as intonation, pacing, and emotion, making the dialogue generated by AI more engaging and believable.

Voice   Generator

This web app allows you to generate voice audio from text - no login needed, and it's completely free! It uses your browser's built-in voice synthesis technology, and so the voices will differ depending on the browser that you're using. You can download the audio as a file, but note that the downloaded voices may be different to your browser's voices because they are downloaded from an external text-to-speech server. If you don't like the externally-downloaded voice, you can use a recording app on your device to record the "system" or "internal" sound while you're playing the generated voice audio.

Want more voices? You can download the generated audio and then use voicechanger.io to add effects to the voice. For example, you can make the voice sound more robotic, or like a giant ogre, or an evil demon. You can even use it to reverse the generated audio, randomly distort the speed of the voice throughout the audio, add a scary ghost effect, or add an "anonymous hacker" effect to it.

Note: If the list of available text-to-speech voices is small, or all the voices sound the same, then you may need to install text-to-speech voices on your device. Many operating systems (including some versions of Android, for example) only come with one voice by default, and the others need to be downloaded in your device's settings. If you don't know how to install more voices, and you can't find a tutorial online, you can try downloading the audio with the download button instead. As mentioned above, the downloaded audio uses external voices which may be different to your device's local ones.

You're free to use the generated voices for any purpose - no attribution needed. You could use this website as a free voice over generator for narrating your videos in cases where don't want to use your real voice. You can also adjust the pitch of the voice to make it sound younger/older, and you can even adjust the rate/speed of the generated speech, so you can create a fast-talking high-pitched chipmunk voice if you want to.

Note: If you have offline-compatible voices installed on your device (check your system Text-To-Speech settings), then this web app works offline! Find the "add to homescreen" or "install" button in your browser to add a shortcut to this app in your home screen. And note that if you don't have an internet connection, or if for some reason the voice audio download isn't working for you, you can also use a recording app that records your devices "internal" or "system" sound.

Got some feedback? You can share it with me here .

If you like this project check out these: AI Chat , AI Anime Generator , AI Image Generator , and AI Story Generator .

Free AI Voice Generator

Use Deepgram's AI voice generator to produce human speech from text. AI matches text with correct pronunciation for natural, high-quality audio.

AI Voice Generation

Discover the Unparalleled Clarity and Versatility of Deepgram's AI Voice Generator

We harness the power of advanced artificial intelligence to bring you a state-of-the-art AI voice generator designed to meet all your audio creation needs. Whether you're a content creator, marketer, educator, or developer, our platform offers an incredibly realistic and customizable voice generation solution.

Human Voice Generation

Our AI voice generator is engineered to produce voices that are indistinguishable from real human speech. With a vast library of voices across different genders, ages, and accents, Deepgram empowers you to find the perfect voice for your project.

Low-latency Text to Speech

Deepgram's voice generator is one of the fastest on the market. We design our AI models to produce high-quality voices

How It Works

Choose Your Voice : Select from our diverse library of high-quality, natural-sounding AI voices.

Generate: Enter your text, generate your voiceover in seconds.

Download: Once you have you AI generated speech, easily download your audio file.

AI Voice Generator Use Cases

E-Learning and Educational Content : Create engaging and informative educational materials that cater to learners of all types.

Marketing and Advertising : Enhance your marketing materials with high-quality voiceovers that grab attention.

Audiobooks and Podcasts : Produce audiobooks and podcasts efficiently, with voices that keep your audience engaged.

Accessibility : Make your content more accessible with voiceovers that can be easily understood by everyone, including those with visual impairments or reading difficulties.

Realistic Text-to-Speech AI converter

Create realistic Voiceovers online! Insert any text to generate speech and download audio mp3 or wav for any purpose. Speak a text with AI-powered voices.You can convert text to voice for free for reference only. For all features, purchase the paid plans

How to convert text into speech?

• Just type some text or import your written content
• Press "generate" button
• Download MP3 / WAV

Full list of benefits of neural voices

Downloadable tts.

You can download converted audio files in MP3, WAV, OGG for free.

If your Limit balance is sufficient, you can use a single query to convert a text of up to 2,000,000 characters into speech.

Commercial Use

You can use the generated audio for commercial purposes. Examples: YouTube, Tik Tok, Instagram, Facebook, Twitch, Twitter, Podcasts, Video Ads, Advertising, E-book, Presentation and other.

Multi-voice editor

Dialogue with AI Voices. You can use several voices at once in one text.

Custom voice settings

Change Speed, Pitch, Stress, Pronunciation, Intonation , Emphasis , Pauses and more. SSML support .

You spend little on re-dubbing the text. Limits are spent only for changed sentences in the text.

Over 1000 Natural Sounding Voices

Crystal-clear voice over like a Human. Males, females, children's, elderly voices.

Powerful support

We will help you with any questions about text-to-speech. Ask any questions, even the simplest ones. We are happy to help.

Compatible with editing programs

Works with any video creation software: Adobe Premier, After effects, Audition, DaVinci Resolve, Apple Motion, Camtasia, iMovie, Audacity, etc.

You can share the link to the audio. Send audio links to your friends and colleagues.

Cloud save your history

All your files and texts are automatically saved in your profile on our cloud server. Add tracks to your favorites in one click.

Use our text to voice converter to make videos with natural sounding speech!

Say goodbye to expensive traditional audio creation

Cheap price. Create a professional voiceover in real time for pennies. it is 100 times cheaper than a live speaker.

Traditional audio creation

• Expensive live speakers, high prices
• A long search for freelancers and studios
• Editing requires complex tools and knowledge
• The announcer in the studio voices a long time. It takes time to give him a task and accept it..

• Affordable tts generation starting at $0.08 per 1000 characters
• Website accessible in your browser right now
• Intuitive interface, suitable for beginners
• SpeechGen generates text from speech very quickly. A few clicks and the audio is ready.

Create AI-generated realistic voice-overs.

Ways to use. Cases.

See how other people are already using our realistic speech synthesis. There are hundreds of variations in applications. Here are some of them.

• Voice over for videos. Commercial, YouTube, Tik Tok, Instagram, Facebook, and other social media. Add voice to any videos!
• E-learning material. Ex: learning foreign languages, listening to lectures, instructional videos.
• Advertising. Increase installations and sales! Create AI-generated realistic voice-overs for video ads, promo, and creatives.
• Public places. Synthesizing speech from text is needed for airports, bus stations, parks, supermarkets, stadiums, and other public areas.
• Podcasts. Turn text into podcasts to increase content reach. Publish your audio files on iTunes, Spotify, and other podcast services.
• Mobile apps and desktop software. The synthesized ai voices make the app friendly.
• Essay reader. Read your essay out loud to write a better paper.
• Presentations. Use text-to-speech for impressive PowerPoint presentations and slideshow.
• Reading documents. Save your time reading documents aloud with a speech synthesizer.
• Book reader. Use our text-to-speech web app for ebook reading aloud with natural voices.
• Welcome audio messages for websites. It is a perfect way to re-engage with your audience. 
• Online article reader. Internet users translate texts of interesting articles into audio and listen to them to save time.
• Voicemail greeting generator. Record voice-over for telephone systems phone greetings.
• Online narrator to read fairy tales aloud to children.
• For fun. Use the robot voiceover to create memes, creativity, and gags.

Maximize your content’s potential with an audio-version. Increase audience engagement and drive business growth.

Who uses Text to Speech?

SpeechGen.io is a service with artificial intelligence used by about 1,000 people daily for different purposes. Here are examples.

Video makers create voiceovers for videos. They generate audio content without expensive studio production.

Newsmakers convert text to speech with computerized voices for news reporting and sports announcing.

Students and busy professionals to quickly explore content

Foreigners. Second-language students who want to improve their pronunciation or listen to the text comprehension

Software developers add synthesized speech to programs to improve the user experience.

Marketers. Easy-to-produce audio content for any startups

IVR voice recordings. Generate prompts for interactive voice response systems.

Educators. Foreign language teachers generate voice from the text for audio examples.

Booklovers use Speechgen as an out loud book reader. The TTS voiceover is downloadable. Listen on any device.

HR departments and e-learning professionals can make learning modules and employee training with ai text to speech online software.

Webmasters convert articles to audio with lifelike robotic voices. TTS audio increases the time on the webpage and the depth of views.

Animators use ai voices for dialogue and character speech.

Text to Speech enables brands, companies, and organizations to deliver enhanced end-user experience, while minimizing costs.

Frequently Asked Questions

Convert any text to super realistic human voices. See all tariff plans .

Enhance Your Content Accessibility

Boost your experience with our additional features. Easily convert PDFs, DOCx files, and video subtitles into natural-sounding audio.

📄🔊 PDF to Audio

Transform your PDF documents into audible content for easier consumption and enhanced accessibility.

📝🎧 DOCx to mp3

Easily convert Word documents into speech for listening on the go or for those who prefer audio format

📺💬 Subtitles to Speech

Make your video content more accessible by converting subtitles into natural-sounding audio.

Supported languages

• Amharic (Ethiopia)
• Arabic (Algeria)
• Arabic (Egypt)
• Arabic (Saudi Arabia)
• Bengali (India)
• Catalan (Spain)
• English (Australia)
• English (Canada)
• English (GB)
• English (Hong Kong)
• English (India)
• English (Philippines)
• German (Austria)
• Hindi India
• Spanish (Argentina)
• Spanish (Mexico)
• Spanish (United States)
• Tamil (India)
• All languages: +76

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Go from text to speech with a versatile AI voice generator

Ai enabled, real people's voices.

Make studio-quality voice overs in minutes. Use Murf’s lifelike AI voices for podcasts, videos, and all your professional presentations

There's a voice for every need

Simple, powerful…pure magic

Get creative with Murf Studio

Diverse AI voices at your fingertips

Add video, music, or image

All-in-one AI voice generator

Go from amateur to studio quality voiceovers

Now collaborate with your team

Reliable and secure. your data, our promise..

Explore Voice overs created using Murf AI Voice Generator

Here are a few examples of natural-sounding voiceovers created using Murf's AI voices for a wide range of use cases spanning promotional videos, explainer videos, elearning content and podcasts.

Advertisements & Promotional Videos

E-Learning Videos

Explainer Videos

Hear from our customers

I like that for other basic and pro pricing packages you have a wealth of options, which you don't usually get within these amounts. My favorite option is the copy/paste feature of text and the separation of it into paragraph and/or sentences and that you can download as a single or as multiple files. This makes the workflow smoother when developing multiple videos or animations.

Murf.ai streamlines the content creation workflow and reduces time/cost for e-learning developers. Many of the computer-generated voices are very realistic, and my organizational training clients are typically very happy with the results. It generates realistic narrations, along with scripts and subtitles in all popular formats.

I recently tried murf.ai and I have to say I am thoroughly impressed. The quality of the generated voice is exceptional and very realistic, which is important for my business needs. The platform is user-friendly and easy to navigate, and the range of voices available is impressive. I was also pleased with the prompt and helpful customer support I received when I had questions. Overall, I highly recommend murf.ai to anyone looking for a high-quality and reliable text-to-speech generator. Keep up the great work!

We've been using Murf for our content production for a while now, and I can say Murf is the best TTS software out there -yes I've tried most of them single-handedly. Our favourite voice avatar is named AVA, She sounds just like your girlfriend next door! And you don't even have to get the PRO plan to get her voice!

Whilst updating our Integrated Management System, we decided to modernise the way we provide our front-line project staff with information and guidance. Rather than written documents, we have created a library of short, animated explainer videos. Murf was the perfect solution to provide the voiceover audio. Our scripts were easily uploaded on the Murf platform. The voices are professional, friendly and very clear. When watching our videos, you would not believe that the voiceover is done with AI

Valuable tool for enhancing e-learning content Murf is a quality, cost-effective solution for creating voiceover narration for our e-learning content. It is easy to use, fast and produces excellent results. It allows us to enhance e-learning content by providing an audio element to enrich content.

Murf is a great tool with the ability to sync high quality voice overs to video. The library of pre-recorded voice options, screen recording is just what you need to help you create a slick video quickly. I would certainly recommend murf.ai to fellow founders and start-ups out there. I will be using your tool again soon!

Murf is a human-sounding AI voice-over that is so close to perfection with many features. Have no qualms to recommend it to others.

@MURFAISTUDIO

Frequently asked questions

The best ai voice generator for creators.

For years, creating good voice overs meant investing hundreds if not thousands of dollars in hiring voice artists, renting a recording studio to get the script recorded, investing in expensive recording equipment (if you are recording from home), and recruiting or outsourcing the entire project to an audio editor to mix the audio and produce a high-quality voiceover. Not to mention, the valuable hours dedicated to the entire process. Even after all this, the quality of the produced audio file may be subpar. 

What if there was an alternative to creating studio-quality voiceovers, and that too from the comfort of your own homes? Introducing Murf AI voice generator, which eliminates the entire process of generating voiceovers manually and enables you to quickly produce human-like voiceovers without any specialized hardware or professional.

Leveraging advanced AI algorithms and deep learning, the realistic online voice generator tool allows you to convert written content into natural-sounding speech, in a matter of just a few minutes. Serving as a voice maker, it helps you create life-like synthetic voices that mimic the tonalities and prosodies of human speech and sound. Unlike other computer generated voice, Murf's AI voices don't sound monotonous and robotic. Rather Murf's TTS voices are super realistic and flawless.

Explore AI voices for any requirement

Murf’s advanced AI algorithms catch the right tone and pick up on every punctuation and exclamation mark from the human voice fed it. As such, the platform's AI voices sound close to a human than one can imagine.

Voice over video

Using Murf’s AI technology, you can add a well-timed AI voiceover to your videos and make them more engaging. Unlike most video editing software, Murf doesn’t require video editing skills.

For example, say you want to create a corporate training module and explainer videos for your staff. Such content demands an expert voice that draws on the essence of professionalism and instills confidence in potential partners. Murf offers different voices—both male and female—that will enhance the quality of your corporate training module.

Voice Editing

Murf also simplifies the process of editing recorded voiceovers. Simply feed your recorded speech onto the Murf Studio and it automatically transcribes the content into an editable text format that you can edit and modify.

You can also remove any unneeded bits and background noise from your recording in the same way that you would delete words from a document, and your voice over will be trimmed accordingly.

Voice Cloning using custom voices

With Murf, you can also create an AI voice clone that delivers life-like diction and the full spectrum of human emotion and conveys all the nuances of human speech. In fact, using the voice cloning service, you can customize your AI voice clone to exhibit different emotions depending on the use case, be it advertisements, IVR, or character voices in games and animation. Murf currently only offers voice cloning services in the English language.

Voice Changer

Murf also supports an AI voice changer feature which offers one access to upload a raw home recording and convert that into a professional quality voice over with the voice of your choice. You don't have to worry about investing in expensive recording equipment, hiring a voice actor, or  renting out a studio. With Murf, you can record your audio files freestyle, and, with the click of a button convert it to studio quality.

The only AI Text to Speech software you need

With its cutting-edge technology and realistic AI voices, Murf is the perfect solution for individuals and businesses looking to enhance their audio content. Let’s explore some of the diverse applications of Murf:

eLearning and Explainer Videos

When it comes to eLearning, Murf can be used to quickly convert text-based educational content into a more convenient audio format that can be shared with students worldwide and in different languages, improving reach and accessibility, all without the need to hire voice actors or record voiceovers manually.

Furthermore, Murf provides a vast pool of voices for any type of explainer video. Be it a deep middle-aged voice for an animation video on the Solar system or a playful young adult voice for a DIY or craft video.

Advertisement and Product Demo

Murf provides an ideal solution for creating captivating advertisements and product demos . With its versatile voice options and customizable speech styles, Murf simplifies ad creation and helps create videos that cut through the clutter.

By utilizing the 120+ voice options, Murf helps businesses identify the right brand voice that helps create connections and trust with the audience. The fast turnaround time is also beneficial in creating product demo videos with the correct pronunciation, emphasis, and pauses in multiple languages.

Audiobooks and Podcasts

For authors, Murf simplifies the process of turning their scripts into engaging audio experiences. With multiple AI-generated voices across languages, accents, tones, and voice styles, Murf can narrate audiobooks in an engaging manner, making them more accessible to a broader audience.

Moreover, podcasters can rely on Murf to generate voiceovers for their podcasts , delivering professional-quality audio content instead of recording their own voice and spending hours editing it. 

Spotify Ads

With the growing popularity of audio advertising on platforms like Spotify, Murf offers a powerful solution for creating impactful Spotify ads campaigns. Murf’s rich features, like pitch, pronunciation, and emphasis, make it a compelling choice for creating Spotify ads in minutes. The ability to add music and background score to your ads without the need for a third-party tool takes things a step further. 

YouTube Videos and Presentations

 Murf is an excellent asset for content creators on YouTube as well as professionals delivering presentations . YouTubers, for example, can convert their scripts into engaging voice overs that captivate viewers by selecting a voice with different accents, such as British, Australian, or American, that is suitable for the topic and content of their video.

Whether educational content, tutorial videos, or corporate presentations, Murf’s high quality voices can greatly improve a bland presentation, making the content more engaging and impactful with lifelike AI voices.

For businesses seeking to optimize their customer service experience, Murf serves as an ideal solution for IVR voice systems. Murf’s TTS enables companies to generate natural-sounding voice prompts and greetings for their IVR systems, creating seamless and personalized customer interactions. The automated, multilingual functionality helps businesses communicate with clarity to their customers worldwide.

An all-in-one voice generator

Murf goes beyond serving as a realistic voice generator to offer a complete voice solution that enables users to not only adjust the pitch, punctuation, emphasis, and other elements to make the AI generated voice sound as compelling as possible but also add media like your video, audio, and image files with your generated voice. 

Using Murf’s ‘Pitch’ feature, you can control the tone in which your message is delivered. Increase or decrease the pitch of the AI voice to convey the information in the way you want to.

The AI voice generator’s ‘Emphasis’ facet, on the other hand, enables you to stress specific words and add that extra force to grab the listener’s attention.

You can also include pauses using Murf’s ‘Pause’ feature to make your narration more gripping and effective.

With Murf's speed feature, you can increase or decrease the rate at which your message is being delivered.

In addition, Murf enables one to include background music to your video or image and sync them with a precisely timed voice over. Murf has a library of royalty music that you can choose from or import audio files of your own. Furthermore, the text to speech platform lets you adjust the ratio of voice to music.

Why Choose Murf?

What makes Murf stand out among other ai text to speech tools is the fact that as an online voice generator, it lets you create quality outputs in a jiffy. From enterprises to small-medium businesses to individual content creators, everybody can generate realistic-sounding voice overs across different ages, languages, and accents using Murf.

Its easy-to-use interface, sleek design, and high-end features make it a must-have tool for someone that wants to create great voiceovers in just minutes. Looking for a high-quality, cost-effective solution for creating voiceover narrations? Murf natural sounding text to speech is your answer.

Murf supports Text to speech in

Important Links

How to create.

Google goes all in on generative AI at Google Cloud Next

There was barely a mention of core cloud tech.

This week in Las Vegas, 30,000 folks came together to hear the latest and greatest from Google Cloud. What they heard was all generative AI, all the time. Google Cloud is first and foremost a cloud infrastructure and platform vendor. If you didn’t know that, you might have missed it in the onslaught of AI news.

Not to minimize what Google had on display, but much like Salesforce last year at its New York City traveling road show, the company failed to give all but a passing nod to its core business — except in the context of generative AI, of course.

Google announced a slew of AI enhancements designed to help customers take advantage of the Gemini large language model (LLM) and improve productivity across the platform. It’s a worthy goal, of course, and throughout the main keynote on Day 1 and the Developer Keynote the following day, Google peppered the announcements with a healthy number of demos to illustrate the power of these solutions.

But many seemed a little too simplistic, even taking into account they needed to be squeezed into a keynote with a limited amount of time. They relied mostly on examples inside the Google ecosystem, when almost every company has much of their data in repositories outside of Google.

Some of the examples actually felt like they could have been done without AI. During an e-commerce demo, for example, the presenter called the vendor to complete an online transaction. It was designed to show off the communications capabilities of a sales bot, but in reality, the step could have been easily completed by the buyer on the website.

That’s not to say that generative AI doesn’t have some powerful use cases, whether creating code, analyzing a corpus of content and being able to query it, or being able to ask questions of the log data to understand why a website went down. What’s more, the task and role-based agents the company introduced to help individual developers, creative folks, employees and others, have the potential to take advantage of generative AI in tangible ways.

Google Cloud Next 2024: Everything announced so far

But when it comes to building AI tools based on Google’s models, as opposed to consuming the ones Google and other vendors are building for its customers, I couldn’t help feeling that they were glossing over a lot of the obstacles that could stand in the way of a successful generative AI implementation. While they tried to make it sound easy, in reality, it’s a huge challenge to implement any advanced technology inside large organizations.

Big change ain’t easy

Much like other technological leaps over the last 15 years — whether mobile, cloud, containerization, marketing automation, you name it — it’s been delivered with lots of promises of potential gains. Yet these advancements each introduce their own level of complexity, and large companies move more cautiously than we imagine. AI feels like a much bigger lift than Google, or frankly any of the large vendors, is letting on.

What we’ve learned with these previous technology shifts is that they come with a lot of hype and lead to a ton of disillusionment. Even after a number of years, we’ve seen large companies that perhaps should be taking advantage of these advanced technologies still only dabbling or even sitting out altogether, years after they have been introduced.

There are lots of reasons companies may fail to take advantage of technological innovation, including organizational inertia; a brittle technology stack that makes it hard to adopt newer solutions; or a group of corporate naysayers shutting down even the most well-intentioned initiatives, whether legal, HR, IT or other groups that, for a variety of reasons, including internal politics, continue to just say no to substantive change.

Vineet Jain, CEO at Egnyte, a company that concentrates on storage, governance and security, sees two types of companies: those that have made a significant shift to the cloud already and that will have an easier time when it comes to adopting generative AI, and those that have been slow movers and will likely struggle.

AWS is sick of waiting for your company to move to the cloud

He talks to plenty of companies that still have a majority of their tech on-prem and have a long way to go before they start thinking about how AI can help them. “We talk to many ‘late’ cloud adopters who have not started or are very early in their quest for digital transformation,” Jain told TechCrunch.

AI could force these companies to think hard about making a run at digital transformation, but they could struggle starting from so far behind, he said. “These companies will need to solve those problems first and then consume AI once they have a mature data security and governance model,” he said.

It was always the data

The big vendors like Google make implementing these solutions sound simple, but like all sophisticated technology, looking simple on the front end doesn’t necessarily mean it’s uncomplicated on the back end. As I heard often this week, when it comes to the data used to train Gemini and other large language models, it’s still a case of “garbage in, garbage out,” and that’s even more applicable when it comes to generative AI.

It starts with data. If you don’t have your data house in order, it’s going to be very difficult to get it into shape to train the LLMs on your use case. Kashif Rahamatullah, a Deloitte principal who is in charge of the Google Cloud practice at his firm, was mostly impressed by Google’s announcements this week, but still acknowledged that some companies that lack clean data will have problems implementing generative AI solutions. “These conversations can start with an AI conversation, but that quickly turns into: ‘I need to fix my data, and I need to get it clean, and I need to have it all in one place, or almost one place, before I start getting the true benefit out of generative AI,” Rahamatullah said.

From Google’s perspective, the company has built generative AI tools to more easily help data engineers build data pipelines to connect to data sources inside and outside of the Google ecosystem. “It’s really meant to speed up the data engineering teams, by automating many of the very labor-intensive tasks involved in moving data and getting it ready for these models,” Gerrit Kazmaier, vice president and general manager for database, data analytics and Looker at Google, told TechCrunch.

That should be helpful in connecting and cleaning data, especially in companies that are further along the digital transformation journey. But for those companies like the ones Jain referenced — those that haven’t taken meaningful steps toward digital transformation — it could present more difficulties, even with these tools Google has created.

All of that doesn’t even take into account that AI comes with its own set of challenges beyond pure implementation, whether it’s an app based on an existing model, or especially when trying to build a custom model, says Andy Thurai, an analyst at Constellation Research. “While implementing either solution, companies need to think about governance, liability, security, privacy, ethical and responsible use and compliance of such implementations,” Thurai said. And none of that is trivial.

Executives, IT pros, developers and others who went to GCN this week might have gone looking for what’s coming next from Google Cloud. But if they didn’t go looking for AI, or they are simply not ready as an organization, they may have come away from Sin City a little shell-shocked by Google’s full concentration on AI. It could be a long time before organizations lacking digital sophistication can take full advantage of these technologies, beyond the more-packaged solutions being offered by Google and other vendors.

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Increase Output with AI Text and Speech for $35 Lock in a relentless tool for life at a rate that's marked down by 80%.

By Entrepreneur Store • Apr 18, 2024

Disclosure: Our goal is to feature products and services that we think you'll find interesting and useful. If you purchase them, Entrepreneur may get a small share of the revenue from the sale from our commerce partners.

Entrepreneurs know that growth requires making the most of a budget. Utilizing new-age AI tools to help scale output and increase business productivity is one of the most popular modern strategies for keeping up with the times.

For businesses that are looking to increase and improve their content production quality and flow, consider an AI text-to-speech service. For example, through April 21 at 11:59 p.m. PT, this lifetime license to the Jott Pro AI Text and Speech Toolkit will be marked down to just $34.97 (reg. $199).

Jott offers high-end AI transcription services that can take your spoken words and organize them into well-written text in real time. For business leaders who find many of their most potent ideas through stream-of-consciousness sessions of speaking aloud, this is one of the most valuable tools available.

On the flip side, Jott Pro can also turn your text into lifelike speech with its AI platform and rich database of a wide range of voices, accents, and personalities. It can switch between languages with ease and provide accurate and telling translations that could be the difference when trying to strike your next international deal.

Users will get access to all of Jott's features, including ongoing updates. The plan is good for up to two hours of speech to text every month and up to 100,000 characters of text to speech every month.

Remember that this lifetime license to the Jott Pro AI Text and Speech Toolkit will be marked down to just $34.97 (reg. $199) through April 21 at 11:59 p.m. PT only.

StackSocial prices subject to change.

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The Best Alternatives To Google Text To Speech

There are many text to speech tools out there that can benefit businesses and content creators, whether you’re creating a podcast, a YouTube video , a social media clip, or something educational . At a quick glance, the most popular choice is Google’s text to speech tool. And while it does the job, it may not be the right fit—or the right price—for your needs. So, why not try these Google text to speech alternatives instead?

About Google’s Text To Speech Feature

Initially designed to increase accessibility across the internet, Google’s Text To Speech (TTS) feature converts written text into spoken words. The tool is integrated into various Google services and Android devices, allowing users to have text content, like articles or messages, read aloud to them by an AI voice. 

Key features of Google’s TTS software include natural-sounding voices, adjustable speech rates, and language support for multiple languages. Additionally, it’s a valuable resource for users with visual impairments or those who simply prefer listening to—rather than reading—online content.

The 5 Best Google Text To Speech Alternatives

We’ve rounded up the top five Google text to speech alternatives to help you find the perfect one for your needs.

Key features:

• Create custom AI voices that are virtually indistinguishable from human voices. 
• After generating a recording, users can make edits, and add video, images, and effects in the streamlined online editing space. 
• Choose from over 100 languages and 600 voices.
• Choose from a wide range of over 25 emotions, including anger, happiness, sadness, and more.

Pricing: The 14-day free trial offers a comprehensive introduction to the software. Then, plans start at $24 per month.

Why it’s a great Google text to speech alternative:

While Google’s TTS tool simply transforms text blocks into spoken words, LOVO’s online editing tool, Genny, allows users a much more hands-on experience. With a range of editing options, including emotions, language, voices, and accents, creators can generate the perfect audio recording for every project .

Google also doesn’t offer an interactive platform like LOVO, as it is created from text by using a command line.

Key features: 

• A huge library of over 1900 voices to choose from.
• Intuitive editing interface that won’t intimidate beginners.
• Built-in text to video capabilities, which makes it suitable for YouTubers and social media creators.
• Supports adding pauses, and changing pitch, tone, and emotions.
• Customer response team for any issues that arise.

Pricing: Fliki offers a limited free trial option, with five minutes of audio and video content and restricted access to voices. Access then begins at $8 a month for the basic plan.

Why it’s a good Google text to speech alternative:

Google text to speech creates an audio output of text. However, it does not offer standard input and output files. If you want to create an audio file to add to an existing video, for example, you’ll need to use software like Fliki.

• Owned and run by Microsoft.
• A library of 400 voices across 140 languages.
• Speaking styles include newscast, shouting, whispering, emotions like cheerful and sad, and customer service. 
• Adjustable rate, pitch, pronunciation, pauses, allowing users to tweak the output to match any scenario.
• Also available as an API integration.

Pricing: A free trial, with a pay-as-you-go structure based on your needs and project outputs.

Azure offers many more voices than Google’s TTS offering, all of which sound distinctly more human. While Google’s tool is a great one for accessibility purposes, Azure is a better option for users looking to achieve a professional finish.

• Text to speech audio available in over 300 voices.
• Adjust the tone and delivery to suit your needs.
• Choose from available templates for different use cases.
• Create voice-generated videos with AI-powered animated characters and avatars who read out the input text.
• Supports the import of external files (.pdf, excel, ppt, epub).
• Multi-user support and collaborative capabilities.

Pricing: Typecast offers a free trial for individual users, which caps out at three minutes of downloads per month. From there, plans start at $8.99 per month.

The video creation aspect of Typecast is what sets it apart from Google text to speech and other TTS software on the market. While it may not be relevant for podcasters or YouTube creators, it is an asset for anyone who wants to add an engaging video element to their voiceover. 

• Offers voiceover in 13 different languages.
• Provides APIs that use IBM’s speech-synthesis capabilities.
• Custom pronunciation, and clarify unusual words with the help of IPA or the IBM SPR.
• Control tone of voice by choosing a specific speaking style, such as ‘apology’, ‘good news’, or ‘uncertainty’.
• Reads content aloud within existing applications or through the Watson assistant.

Pricing: IBM offers a free basic plan, but for full use of all the features, plans start at $140 per month.

While Google TTS is designed for everyday users, IBM Watson is geared more toward business professionals and high-output creators. And the price matches that. Users need to use SSML tags to edit or tweak the speech output from IBM Watson. Similarly to Google, it is not possible to download an audio file of the speech output.

What is the best Google text to speech alternative?

No matter your needs, LOVO is the best TTS tool for creatives, business professionals, podcasters, and anyone looking for an easy way to generate audio. 

From voice assistants to audiobooks to YouTube video voiceovers to corporate learning, LOVO’s AI voice generator platform, Genny , is a game-changer. It significantly reduces production time and costs by eliminating the need for voice actors and recording sessions.

LOVO AI specializes in providing high-quality, natural-sounding voiceovers for all your audio needs. With its customizable voices, multilingual support, and easy online editor , LOVO is just the tool you need to save your business money and time.

Try LOVO AI for free today and find out exactly how it can help streamline your creative process.

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AI Voice Recorder: Everything You Need to Know

Table of contents.

AI voice recorders are poised to revolutionize the way we record, transcribe, and interact with audio. This isn’t just another gadget; it’s a fusion of AI technology and user-friendly design that transforms speech into text, offers seamless transcription services, and so much more.

Here, I’ll delve into everything you need to know about AI voice recorders, from their core functionalities to how they’re changing the face of content creation, meeting notes, and even podcasts.

What is an AI Voice Recorder

An AI voice recorder is more than just an audio recorder; it’s an AI-powered device or application capable of capturing voice memos, transcribing them into text, and performing a range of tasks like summarizing content or converting text to speech .

What sets it apart is its ability to transcribe in real-time, filter out background noise, and understand various languages, including English and French, making it invaluable for professionals, students, and anyone looking to enhance their note-taking or content creation process.

Key Functionalities and Features

One of the most significant advantages of using an AI voice recorder is its array of functionalities. These devices can transcribe speeches, meetings, and voiceovers into text transcription with remarkable accuracy.

Voice recorders can handle various audio formats, such as WAV and MP3, ensuring that your recordings are of the highest quality audio. Moreover, the transcription services are not just limited to English; many AI voice recorders are proficient in multiple languages, making them versatile tools for global use.

For content creators, podcasters, and professionals, the ability to record audio, transcribe it in real time, and even collaborate on the go is transformative. AI voice recorders offer functionalities like cloud storage for easy access and sharing, advanced audio editing features for crafting quality content, and algorithms that minimize background noise, ensuring that your recordings are clear and professional.

Compatibility and Accessibility

AI voice recorders are compatible across various platforms. Whether you’re an iPhone user or prefer Android, these recorders are designed to be incredibly user-friendly, offering a seamless experience on iOS and Android devices alike. Recorder apps often come with a straightforward interface, allowing you to record, transcribe, and edit audio files effortlessly.

Moreover, the integration of AI technology, like ChatGPT and other AI voice generators, into these recorders has made them more intelligent. They can understand context, summarize meetings, and even answer FAQs, making them a pro tool for anyone looking to enhance their productivity.

The Future of AI Voice Recorders

As we move forward, the potential of AI voice recorders to transform industries is immense. With companies like Microsoft and OpenAI leading the charge, the integration of advanced AI voice and transcription technologies is set to redefine how we approach recording meetings, creating podcasts, and even conducting interviews.

The ability to transcribe multi-lingual content in real-time, collaborate with team members remotely, and produce high-quality audio content is just the beginning.

Moreover, the emphasis on developing algorithms that can accurately transcribe and interpret speech voice, even in noisy environments, and the move towards more sophisticated audio editing tools, signal a future where voice recorders are not just tools but essential partners in content creation and communication.

AI voice recorders is a testament to how far AI technology has come in making our lives easier and our work more efficient. From offering real-time transcription services to facilitating seamless collaboration across different languages and platforms, AI voice recorders are set to revolutionize the way we think about recording, transcribing, and interacting with audio.

Whether you’re a professional looking to record meeting notes, a content creator aiming to produce high-quality podcasts, or just someone who loves to keep voice memos, the AI voice recorder is a tool that promises to make your audio experience better than ever before.

Frequently asked questions

Is there an ai that can record your voice.

Yes, there are AI-powered voice recorders that can record your voice and offer additional functionalities such as real-time transcription and noise reduction.

How do I record audio with AI voice?

To record audio with an AI voice, you typically need to install a voice recorder app that incorporates AI features, then use the app’s interface to start and manage your recordings.

Is AI voice free?

The availability of free AI voice recorders varies; some apps offer free versions with basic features, while more advanced functionalities might require a paid subscription.

What is the best recorder for ChatGPT?

For recording conversations with ChatGPT, any high-quality digital voice recorder that can capture clear audio or a smartphone app designed for recording meetings or notes would be effective, as ChatGPT itself does not record audio.

• Previous The Best Multilingual AI Speech Models
• Next Best AI Speech to Speech Tools

Cliff Weitzman

Cliff Weitzman is a dyslexia advocate and the CEO and founder of Speechify, the #1 text-to-speech app in the world, totaling over 100,000 5-star reviews and ranking first place in the App Store for the News & Magazines category. In 2017, Weitzman was named to the Forbes 30 under 30 list for his work making the internet more accessible to people with learning disabilities. Cliff Weitzman has been featured in EdSurge, Inc., PC Mag, Entrepreneur, Mashable, among other leading outlets.

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10 Best Whisper AI Alternatives for Speech-to-Text Services in 2024

Today, performing multilingual transcription, speech translation, and language detection are made easy with AI-powered speech recognition tools. This software’s API (Application Programming Interface) provides the ability to call a service to transcribe audio-containing speech into written text.

One of the most well-known choices among speech recognition tools is Whisper AI. The platform converts spoken language into text and is used as a chatbot, voice assistant, speech translator, and transcriptor. It is also known for automating the process of taking notes during meetings.

With so many features, still, this tool may not be an ideal choice for your organization if your project involves real-time processing of streaming voice data or if you need to train a custom model.

The vast number of speech transcription options can be overwhelming and make it difficult to make an informed choice. This article breaks down the best Whisper AI alternatives , outlining their top features, pros and cons, and pricing. So, let’s check out the ranking of all these leading speech-to-text APIs.

10 Best Whisper AI Alternatives in 2024

Google speech-to-text, microsoft azure, speechmatics, amazon transcribe, what is the best speech-to-text tool in 2024.

Here are some of the best Whisper AI Alternatives for you to look at:

Google Speech-to-Text is provided as a part of the Google Cloud Platform. It processes over 1 billion voices every month and boasts close to the human level of understanding of numerous languages. It enables developers to translate the audio from text by applying robust neural network models in an easy-to-use API.

• It integrates well with Google Drive, Google Meet, Google Docs, etc.
• This platform provides multi-channel recognition
• It is powered by machine learning.

It offers 0-60 minutes/month for free. The premium plan is for Speech Recognition (without data logging – default):

• Standard Plan- $0.024 / minute
• Medical Plan- $0.078 / minute
• Speech Recognition (with data logging opt-in)- $0.016 / minute.

Link: https://cloud.google.com/speech-to-text

Microsoft Azure allows you to translate text swiftly and accurately in over 90 languages. It is one of the most advanced voice-recognition platforms around. The platform uses deep learning algorithms to overcome poor sound quality and adapt to numerous speaking styles to deliver accurate audio transcriptions.

• Its speaker recognition feature allows to recognize who’s speaking in a meeting
• You can customize translations for the organization’s specific terms in a preferred programming language
• Allows you to deploy your endpoint to use in your application.

It offers a free plan. After you use free credits, move to pay as you go to keep using the same services.

Link: https://azure.microsoft.com/en-us/products/ai-services/speech-to-text

AssemblyAI’s speech-to-text APIs enable you to translate audio and video files and live audio streams into text. This tool offers faster transcription speed than public cloud service providers and decent across. It is an all-in-one speech recognition platform built to serve startups, SMBs, SMEs, and agencies.

• Large Language Models, or LLMs, allow the creation of Generative AI tools on top of voice data
• It offers a speech summarization feature
• Quickly detects and monitors sensitive content, such as hate speech

It offers a free plan. The premium plan starts at $0.12/hr.

Link: https://www.assemblyai.com/

Rev AI is one of the best Whisper AI alternatives that offers automated speech-to-text services powered by advanced machine learning algorithms. It is a wonderful option for highly accurate English language use cases that deliver high accuracy when essential text-to-speech software does not.

• It provides online integrations that improve workflow
• The tool generates transcription in real-time
• You can get positive, negative, and neutral statements from the text.

It offers three pay-as-you-go plans:

• Machine Translation: $0.02/minute
• Human Transcription: $1.50/minute
• Forced Alignment: $0.02/minute
• You can also opt for the Enterprise plan which can be customized.

Link: https://www.rev.ai/

Speechmatics is the most accurate and inclusive speech-to-text API engine that provides accurate and flexible solutions. It is one of the leading experts in the field as it combines the best technologies, i.e., AI and ML, to unlock the business value of human speech. Whether you need transcription or translation, the platform provides a solution that can be integrated into your organization without any trouble.

• It offers real-time transcription, translation, and summarization
• It also provides numeral formatting
• The tool includes profanity and disfluency detection.

It offers a free plan. There are two premium plans:

• Pay as you grow- Starts at $0.30/hour
• Enterprise Plan- Contact the sales team.

IBM Watson is one of the best Whisper AI alternatives , enabling fast and accurate transcriptions in various languages. It provides keyword spotting and profanity filtering to filter specific words or inappropriate content. The best thing is that it is deployable on any cloud—public, private, hybrid, multi-cloud, or on-premises.

• It provides an automatic speech recognition option
• Allows you to analyze and correct weak audio signals before transcription starts
• It can detect up to 6 different speakers

The tool offers 30-day free trial. There are 4 paid price plans:

• Plus- Starting at $500
• Enterprise- Starts at $5000
• Premium- Customized (Contact the sales team)
• IBM Cloud Pak for Data Cartridge- Customized (Contact the sales team)

Link : https://www.ibm.com/products/speech-to-text

Kaldi is an excellent speech recognition tool famous in the research community for numerous years. It is highly accurate and allows you to train your own models.

• Supports multiple languages
• It provides real-time streaming support

It is free to use.

Link : https://kaldi-asr.org/

LumenVox is one of the best Whisper AI alternatives , as its flexible speech-enabling technology allows you to create a solution that caters to your specific requirements.

• Accurate speech detection with speech tuning
• Easy implementation for any network architecture
• Accelerated ability to add new languages and dialects

Its free to use.

Link: https://www.lumenvox.com/

Power your apps with real-time speech recognition (speech-to-text and text-to-speech) with Deepgram. It is one of the best Whisper alternatives known for its low latency, data labeling and flexible deployment options.

• It is a developer-focused provider with a rich ecosystem, dedicated support, and diverse SDK options.
• The tool is proficient in handling pre-recorded audio and real-time streams from numerous sources.
• Deepgram supports smart formatting, multiple languages, filler words, and speaker diarization.

It offers a pay-as-you-go plan that gives you $200 in credit absolutely free. You can also opt for its 2 other annual plans :

• Growth-$4k – 10k per year
• Enterprise- Contact the sales team to customize the pricing as per your requirements

Link: https://deepgram.com/

Amazon Transcribe model is part of the AWS platform that supports over 100 languages. It produces easy-to-read transcripts, improves accuracy with customization, ingests diverse audio input, and filters content to enhance customer privacy.

• Easy to integrate if you are already in the AWS ecosystem
• Its Amazon Transcribe API enables you to analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech.
• The tool offers domain-specific models tuned to telephone calls or multimedia video content.

Sign up and get started for free for the first 12 months. The Amazon Transcribe Free Tier allows you to analyze up to 60 audio minutes monthly. However, if you want more minutes, you can choose other paid plans:

• T1- $0.02400 (First 250,000 minutes)
• T2- $0.01500 (Next 750,000 minutes)
• T3- $0.01020 (Next 4,000,000 minutes)
• T4- $0.00780 (Over 5,000,000 minutes)

Link: https://aws.amazon.com/transcribe/?nc=sn&loc=0

Considering all factors, Google Speech-to-Text offers the most convenient and flexible solution that can be integrated with other Google Cloud services. This model is best utilized by a GCP customer who wants to keep everything within one ecosystem. The tool is also known for its machine learning algorithms that reduce errors by 64% compared to other regular models and for adding real-time subtitles in your streaming content.

The mechanisms for evaluating a speech-to-text API have remained constant, including speed, accuracy, and price. These tools must match the cutting-edge offerings of a new company to bring value to the table.

We hope this list of 10 best Whisper AI alternatives has demystified the confusion by helping you choose the right speech recognition tool for your particular use case. These easy-to-use platforms offer a highly accurate transcription feature and support customization to suit your industry.

Is there a better model than Whisper AI?

Some leading speech recognition tools supporting multilingual recognition, spoken language identification, and translation include Google Speech-to-Text, Microsoft Azure, and AssemblyAI.

What is the fastest Whisper AI?

Whisper JAX is known as the fastest Whisper AI. It is an optimized implementation of the Whisper model that runs on JAX with a TPU v4-8 in the backend.

Is Whisper Open AI free?

Before March 2023, Whisper AI used to offer its services for free. However, today it costs $0.006 per minute or $0.10 per 1000 seconds.

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