Vosk
- Software
- Perception
- Library
Vosk is an offline open source speech recognition toolkit supporting more than 20 languages, with streaming recognition and bindings for many programming languages.
Made by Alpha Cephei.
Source on GitHub: github.com/alphacep/vosk-api (opens in a new tab). Facts read at commit 4ab9821 (opens in a new tab).
Licenses
- Code
- Apache-2.0 (opens in a new tab)
Read by Robotheca from COPYING (opens in a new tab) (Apache-2.0) at commit 4ab9821 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Runs speech recognition fully offline.
- Supports more than 20 languages and dialects, including English, German, French, Spanish and Chinese.
- Small models of about 50 MB provide continuous large vocabulary transcription with zero-latency streaming.
- Offers reconfigurable vocabulary and speaker identification.
- Provides bindings for Python, Java, Node.JS, C#, C++, Rust, Go and others.
- Suited to chatbots, smart home appliances, virtual assistants, movie subtitles and lecture transcription.
Written by Robotheca from the project's README (opens in a new tab) at commit 4ab9821.
Getting started
- Difficulty
- Intermediate
- Hardware it needs, as the project states it
- Scales from small devices such as a Raspberry Pi or an Android smartphone up to big clusters.
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 15 Oct 2026 on master
- Latest release
- v0.3.50 (22 Apr 2024)
Checked on GitHub on 16 Oct 2026.
Links
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