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It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services. | It is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. |
Build voice-enabled chatbot services (for example, IVR systems); Classification of audio file transcriptions; Automated Testing of Voice services with Botium | Open source;
Tensorflow based;
Mozilla project |
Statistics | |
GitHub Stars 943 | GitHub Stars 26.6K |
GitHub Forks 58 | GitHub Forks 4.1K |
Stacks 7 | Stacks 9 |
Followers 21 | Followers 5 |
Votes 0 | Votes 0 |
Integrations | |

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

Convert text to high-quality AI voice in seconds. Perfect for content creators, businesses, educators and video makers. Fast, affordable and studio-grade output with multiple accents and languages.

Plan, write, and publish books, PDF guides, workbooks, and audiobooks with AI workflows. Customize branding and export instantly.

Create viral AI-powered short videos, reels, TikToks, YouTube Shorts, and music videos with voiceovers, auto scripts, subtitles, and ai images — perfect for creators, educators, and marketers.

Transform boring PDFs and text into viral TikTok-style brainrot study videos. Free online tool with AI voices, speed control, and Minecraft backgrounds. 3 free videos daily!

Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.

Google Cloud Text-to-Speech enables developers to synthesize natural-sounding speech with 30 voices, available in multiple languages and variants. It applies DeepMind’s groundbreaking research in WaveNet and Google’s powerful neural networks to deliver the highest fidelity possible.

It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.

It is an on-device speech-to-text engine. By processing voice data locally on the device, it offers private, reliable, fully-customizable, and cost-effective audio transcription experiences. It achieves big tech-level accuracy at a fraction of their costs.

wav2letter++ is a fast open source speech processing toolkit from the Speech Team at Facebook AI Research. It is written entirely in C++ and uses the ArrayFire tensor library and the flashlight machine learning library for maximum efficiency. Our approach is detailed in this arXiv paper.