Whisper
by Various
Robust speech recognition via large-scale weak supervision. [#opensource](https://github.com/openai/whisper)
Apps
Whisper
Added 1 June 2026
Overview
Whisper is an open-source speech recognition system trained on a large dataset of weakly supervised audio-text pairs. It transcribes audio into text across multiple languages and handles various accents, background noise, and technical jargon.
Best for
Best for
Developers needing a free, multilingual speech-to-text solution for offline or privacy-sensitive applications.
Use cases
- Transcribing meeting recordings or podcasts into searchable text
- Building voice-controlled applications or virtual assistants
- Generating subtitles or captions for video content
Notes
Whisper is an open-source speech recognition system trained on a large dataset of weakly supervised audio-text pairs. It transcribes audio into text across multiple languages and handles various accents, background noise, and technical jargon.
Use cases
- Transcribing meeting recordings or podcasts into searchable text
- Building voice-controlled applications or virtual assistants
- Generating subtitles or captions for video content
Pros
- Supports 99+ languages with robust accuracy
- Free and open-source with no usage limits
- Works offline after model download
Cons
- Requires significant GPU memory for larger models
- Slower than some proprietary alternatives on consumer hardware
- May struggle with very long audio without chunking
Indexed from awesome-generative-ai and enriched against its public facts.
Pros
- Supports 99+ languages with robust accuracy
- Free and open-source with no usage limits
- Works offline after model download
Cons
- Requires significant GPU memory for larger models
- Slower than some proprietary alternatives on consumer hardware
- May struggle with very long audio without chunking
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