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This project forked from alphacep/vosk-api

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

License: Apache License 2.0

Shell 0.99% JavaScript 0.61% Ruby 0.02% C++ 2.88% Python 1.06% C 0.64% Objective-C 0.01% Java 1.37% Go 0.17% C# 0.52% Kotlin 2.43% Swift 0.21% Makefile 0.09% CMake 0.01% Jupyter Notebook 88.98%

vosk-api's Introduction

Vosk Speech Recognition Toolkit

Vosk is an offline open source speech recognition toolkit. It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish. More to come.

Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification.

Speech recognition bindings implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others.

Vosk supplies speech recognition for chatbots, smart home appliances, virtual assistants. It can also create subtitles for movies, transcription for lectures and interviews.

Vosk scales from small devices like Raspberry Pi or Android smartphone to big clusters.