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alphacep/vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
About alphacep/vosk-api
alphacep/vosk-api is an open-source project on GitHub, mainly written in Jupyter Notebook. Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node It currently holds 15,186 stars and 1,769 forks with 602 open issues, and was last pushed on 2026-10-15 (repository created 2019-09-03).
Project Overview
AI Homed tracks it on the AI Audio Projects board and on the AI AI Audio Projects list.
GitHub Repository Details
README
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.
GitHub Stars & Activity
15,186Stars
1,769Forks
602Open issues
Jupyter NotebookLanguage
GitHub Popularity
GitHub stars15,186
Forks1,769
Open issues602
Primary languageJupyter Notebook
LicenseApache-2.0
Stars gained today0
Created2019-09-03
Last pushed2026-10-15
Trending History
Trending statusnot on today's boards
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