OpenAI Whisper
Open-source speech recognition model from OpenAI that runs locally with high accuracy across languages.
Pricing Free (open source) / API $0.006/min
Category Transcription
OpenAI Whisper scorecard
How we grade A 90/100
Overall grade
The open-source ASR standard that the industry builds on.
Idea A Free open-source near-commercial transcription reset the whole market.
Brand A OpenAI name plus ubiquity as the default ASR baseline.
Product A- Excellent multilingual accuracy, runs offline.
Market fit A Foundation layer under countless transcription products.
Adoption A Massive ecosystem built on top of it.
Features B+ Strong core, but no diarization and needs setup.
Security A- Local execution gives full data control.
Value A Free model and cheap API are unbeatable on cost.
Strengths & limitations
Strengths
- +Free and open source
- +Excellent multilingual accuracy
- +Can run fully offline for privacy
Limitations
- –Raw model requires technical setup
- –No built-in speaker diarization
- –CPU inference is slow without GPU
What makes OpenAI Whisper different
Whisper changed the transcription landscape by providing a free, open-source model with near-commercial accuracy. It supports 99 languages, runs locally for privacy, and spawned an ecosystem of tools and services built on top of it.
Key features
- 99 language support
- Local processing option
- Open-source model
- OpenAI API access
- Speaker diarization (via community tools)
