OpenAI Whisper
Source: https://github.com/openai/whisper
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "General-purpose multilingual speech recognition, speech translation, language ID and VAD from one Transformer; the baseline for transcripts, subtitles and dialogue indexing. Code and weights are MIT.",
"source_type": "repository",
"availability": "available",
"dependencies": [
"PyTorch",
"ffmpeg",
"tiktoken"
],
"source_owner": "OpenAI",
"next_check_at": "2026-10-24T00:00:00.000Z",
"upstream_updated_at": "2026-08-31T17:19:19.000Z"
}Evidence claims
- [upstream_claim] README: Whisper is trained on multiple speech tasks (multilingual speech recognition, speech translation, spoken language identification, voice activity detection) represented as a sequence of tokens for a Transformer sequence-to-sequence model. · locator: README, Approach source
- [sourced_fact] README License: code and model weights are released under the MIT License. · locator: README, License source
- [sourced_fact] README setup: trained with Python 3.9.9 and PyTorch 1.10.1; expected compatible with Python 3.8-3.11; may need rust for tiktoken; GitHub: not archived, last push 2026-08-31. · locator: README, Setup source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | MIT | permitted | permitted | permitted | unknown | MIT per README. |
| model_weights | MIT | permitted | permitted | permitted | unknown | README states weights are MIT; training data terms are not addressed. |