whisper
Robust Speech Recognition via Large-Scale Weak Supervision
Concise Brief · Core Value & Positioning
Jargon-free breakdown of core value and deliverable form
OpenAI's general-purpose speech recognition model trained on 680k hours of weak supervision, robust multilingual transcription and translation out of the box.
Media & Images
Library / Core SDK
Python · MIT
Next star milestone
500,000 ★
111,836 / 500,000 · 22%
7-day net growth +459
Star history
Tracking 103 verified historical snapshots
Maintenance & community signals
- Last push
- 2026-08-31
- Fork / Star
- 12.1%
- 7-day net stars
- +459
Public metadata does not certify product quality, code safety or authentic stars. Value assessment requires separate evidence.
Geek Clone & Cloud Code Inspector
1-click clone or inspect source code & AI architecture online
Cloning downloads the source; follow the project README for dependencies and installation.
GitValue · Value evidence
Unscored · Evidence coverage 0%
Provisional rubric; documentation and runtime testing are separate. Missing evidence does not imply low value.
Frequently Asked Questions about whisper
What is openai/whisper (whisper) and what problem does it solve?
OpenAI's general-purpose speech recognition model trained on 680k hours of weak supervision, robust multilingual transcription and translation out of the box. Maintained by openai and primarily written in Python, it is ranked in the Media & Images category on GitRank.
How fast is whisper growing on GitHub?
openai/whisper has 111,836 stars and 13,555 forks in the latest snapshot, with +459 net stars over seven days. These are community and activity signals rather than proof of project quality.
Which related projects can I compare with whisper?
No sufficiently supported related-use candidates are available. Explore the Media & Images category for more projects.
How do I install or clone whisper?
You can clone the repository directly via `git clone https://github.com/openai/whisper.git` and follow the official README instructions on GitHub.