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alphacep/vosk-api has 15,227 GitHub stars and 1,768 forks. GitHot measured -1 stars in 24 hours. Last checked 2026-11-05 18:44 UTC. Last push 2026-10-15.

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Offline-Spracherkennungs-API für Android, iOS, Raspberry Pi und Server mit Unterstützung für Python, Java, C# und Node

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README.md

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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.

Documentation

For installation instructions, examples and documentation visit Vosk Website.

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