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Vosk Speech Recognition Toolkit

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

View on GitHub Official site
Speech To Text Apache-2.0 14,972 stars

Overview

Description

Vosk gives you accurate offline speech recognition across 20+ languages, right on your device — no cloud dependency required. Models are tiny (50 MB) yet deliver real-time transcription, speaker identification, and customizable vocabulary. Works on Android, iOS, Raspberry Pi, and servers.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

No

Quantization support

No

Docker available

No

GUI / no-code available

No

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

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Setup & Installation

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/alphacep/vosk-api

Hardware Requirements

Hardware tagsCPU, Edge Device
LanguagesJupyter Notebook

Works Well With