Kaldi provides an open toolkit for speech recognition and speech processing research.
Vosk
Vosk provides an offline speech recognition API for mobile devices and servers, with several programming language interfaces.

About Vosk
Vosk is an offline, open source speech recognition toolkit distributed through a GitHub repository. It provides speech-to-text on Android, iOS, Raspberry Pi and servers, with bindings for Python, Java, Node.js, C#, C++, Rust, Go and other languages. The project states support for 20+ languages and dialects, and its models are around 50 MB while still offering continuous large-vocabulary transcription. Additional capabilities described include a streaming API with zero-latency response, a reconfigurable vocabulary and speaker identification. Because recognition runs offline, no network connection is required for the core task, and the toolkit scales from small devices such as a Raspberry Pi or Android smartphone up to large clusters. Pricing is not stated in the source material.
Key features
- Offline speech recognition across Android, iOS, Raspberry Pi and servers
- Bindings for Python, Java, Node.js, C#, C++, Rust, Go and others
- Recognition for 20+ languages and dialects
- Models around 50 MB with continuous large-vocabulary transcription
- Streaming API with zero-latency response and reconfigurable vocabulary
- Speaker identification
- Open source project released under the Apache-2.0 license
- Recognition runs offline, so the core task does not depend on a network connection
- Scales from small devices like Raspberry Pi or Android smartphones to big clusters
Vosk at a glance
- Website
- github.com/alphacep/vosk-api
- Category
- AI & Machine Learning › AI Voice & Audio
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Android, iOS
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Vosk alternatives
Tools and sites you could use instead, ranked by how closely they match.
The whisper.cpp project ports OpenAI’s Whisper speech recognition model to C and C++.
ESPnet includes tools for end to end speech processing and related speech tasks.
The whisper-ctranslate2 command-line client works with the OpenAI Whisper client and uses CTranslate2.
The wav2letter project provides an automatic speech recognition toolkit from Facebook AI Research.
Offer Bull provides AI interview practice, real-time speech recognition, and live answer suggestions for job seekers preparing for online interviews.
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Vosk FAQ
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