Overview
Description
Whisper turns spoken audio into accurate text across nearly 100 languages — no complex pipeline needed. A single model handles transcription, translation, and language detection, replacing multi-vendor stacks with one open-source solution. The bottom line: production-grade speech recognition that runs on your own infrastructure after a single install.
Technical scorecard
License
MIT
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.
Deploying Whisper in production?
Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for Whisper.
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/openai/whisperHardware Requirements
Works Well With