Whisper large-v3
Open-weight speech recognition model with strong multilingual transcription accuracy.
Source: OpenAI announcement · Updated 6 Nov 2023 · provider announcement
Capabilities
Capability ratings
Editorial assessment of what the system can do on each axis, 0-100. Capability is not adoption and not employment impact.
Summary
Cheap, accurate transcription at scale — the direct technical basis for replacing manual transcription.
Strongest axis for this model.
Average across all rated axes.
Impact
Occupations affected by Whisper large-v3 (4)
Occupations with published evidence mapped to this model. A model being able to do something is not evidence that firms use it.
Whisper large-v3 provides open-weight multilingual speech recognition, allowing transcription to be run at scale for the cost of compute alone.
Whisper large-v3 provides open-weight multilingual speech recognition, allowing transcription to be run at scale for the cost of compute alone.
Whisper large-v3 provides open-weight multilingual speech recognition, allowing transcription to be run at scale for the cost of compute alone.
Whisper large-v3 provides open-weight multilingual speech recognition, allowing transcription to be run at scale for the cost of compute alone.
Provenance
Where this record came from
- Announcement
- https://github.com/openai/whisper
- Hugging Face ID
- openai/whisper-large-v3
- GitHub repository
- openai/whisper
Release records cite the provider announcement. Open-weight releases also link to their public model and repository pages where available. Read /methodology for how capability ratings are produced.