Assembly Line

Whisper

Robust Speech Recognition via Large-Scale Weak Supervision

Whisper is an open-source local AI project on GitHub under the MIT license (permissive), with 112k stars. It is built with CPython, NumPy and PyTorch. Its last push was 2 months ago.

Stars
112k
License
MIT
Activity
Active
Latest release
v20250625

Code on GitHub

Newer and better: faster-whisper instead of OpenAI Whisper. Use faster-whisper to run Whisper models from Python.

Judgement

What it is
Building block
What it does
OpenAI's open speech recognition model and Python package, which transcribes and translates audio in many languages and identifies the spoken language.
Adopt it when
You need accurate offline transcription and want the reference implementation of the models.
Watch out
The reference code is slow and memory-hungry, so most production uses run faster-whisper or whisper.cpp instead, and the repository changes rarely.
Ready for
Production-ready
Runs as
Library and command line
Built with
Python and PyTorch
How established
Established: started 4 years ago, latest release v20250625.
What the license allows
You can build it into a product you sell, as long as you keep its copyright notice.

Judged on 2026-11-06 from the project's README and GitHub data. The license and age lines are worked out directly.

Built from

Follow it down: Whisper → CPython → GCC → LLVM project → runs on a microchip

How compilers were built, back to punched paper tape

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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.