Overview
Description
Transcribe audio up to 4x faster while using less memory than OpenAI's Whisper. This reimplementation cuts compute costs and hardware requirements without sacrificing accuracy. It runs on CPU and NVIDIA GPU, supports int8 quantization for further efficiency, and integrates with a broad ecosystem of speech tools.
Technical scorecard
License
MIT
Commercial use
Yes
OpenAI-compatible API
No
REST API
No
Fine-tuning support
No
Quantization support
Yes
Docker available
Yes
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.
Deploying Faster Whisper in production?
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Request Privacy and Telemetry AuditSetup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://github.com/SYSTRAN/faster-whisperHardware Requirements
Works Well With