Vosk

Offline speech recognition toolkit supporting 20+ languages with small models.

Open SourceSelf HostedOffline Capable
0.0 (0)

About

Vosk makes speech recognition work where the cloud cannot reach. The toolkit from Alpha Cephei performs fully offline transcription in more than 20 languages and dialects, from English and Spanish to Chinese, Russian, and Japanese, using compact models around 50 MB that run on hardware as small as a Raspberry Pi or an Android phone while also scaling up to server clusters. Its streaming API returns partial results with effectively zero latency, and it supports large-vocabulary continuous transcription, runtime-reconfigurable vocabularies for command grammars, and speaker identification. Bindings cover Python, Java, Node.js, C#, C++, Rust, Go, and more, which is why it shows up in everything from smart home devices and IVR systems to subtitle generators and lecture transcription tools. Released under the Apache 2.0 license with freely downloadable models, Vosk is a frequent choice for developers who need private, on-device voice input without per-minute API fees, accepting somewhat lower accuracy than large cloud models in exchange.

Should you use Vosk?

Pick it when

Pick Vosk when you need private, offline voice input in 20+ languages on a Raspberry Pi, phone, or IVR server, with streaming partial results, command grammars, and bindings for Python, Java, Node.js, C#, and more.

Look elsewhere when

Skip it if accuracy on hard audio is the priority, since its 50 MB models trail large models; Whisper.cpp or faster-whisper are more accurate if you can spare the compute, and Moonshine is the accurate edge pick in its eight languages.

Alternatives to Vosk

  • Whisper.cpp

    Higher accuracy across about 99 languages, also offline and cross-platform, but heavier per minute of audio than Vosk's small models.

  • Sherpa-ONNX STT

    Newer streaming and non-streaming ONNX models across mobile, embedded, and WebAssembly, with VAD and TTS in the same runtime.

  • Moonshine

    MIT edge models whose medium size beats Whisper large-v3 on WER, but in eight languages versus Vosk's 20+.

  • Silero Models

    One-line CPU models strong for Russian and CIS languages, but many checkpoints are non-commercial where Vosk is Apache 2.0.

Reviews (0)

Leave a Review

No reviews yet. Be the first to review!

Details

Price
Free
Platform
Local/Desktop
Difficulty
Easy (2/5)
License
Apache-2.0
Added
Apr 3, 2026

Tags