Transcribing speech on infrastructure you control
Whisper provides downloadable speech-recognition models for transcription, language identification, translation into English, and caption-making without requiring a hosted speech service.
- Maturity
- Demonstrated, stage 3 of 4
- Support
- 2 sources · repository, institution
- Evidence detail
- How we know ↓
People need searchable transcripts and captions, including when audio is private or connectivity is limited.
Strong speech recognition often depended on a remote service or a model tuned to a narrow language and acoustic setting.
A multilingual sequence-to-sequence model converts audio into timestamped text or translated text.
What was shown, and what wasn’t
Shown
OpenAI released model weights, inference code, and a command-line interface under MIT terms in September 2022, making local runs broadly reproducible.
Not shown · limits
- Accuracy varies with language, accent, noise, recording conditions, and subject matter. The training corpus and a complete training recipe were not released.
- The official repository establishes MIT-licensed code and weights. That unusually permissive artifact release remains distinct from access to the training data.
Bright editorial interpretation
Local weights give organizations more control over where audio travels, but people still need ways to inspect names, meaning, and accessibility quality.
How we know2 sources · checked 2026-09-19 · no corrections
- Maturity
- Demonstrated
- Source published
- 2022-09-21
- Captured
- 2026-09-19
- Last source review
- 2026-09-19
- Editorial method
- AI-assisted source review
Bright compared this account with the linked original and supporting sources and kept reported, budgeted, projected, and observed claims distinct. Bright did not independently audit the underlying records.
Maturity describes the tested or operational setting. Confidence describes support for the particular claim; one does not determine the other.
Revision & correction history
2026-09-19 · Bright added this source-checked open-model application record. The cited source publication date is 2022-09-21; 2026-09-19 is when Bright added this record.
No corrections recorded.
Keep exploring
Explore the shared question in another setting. These connections do not imply replication.