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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 (whisper-1, removed from the API Feb 26, 2027)
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 100 languages, runs locally for privacy, and spawned an ecosystem of tools and services built on top of it.

Follows our review methodology
· Last reviewed October 2026

Key features

  • 100 language support (including Cantonese)
  • Local processing option
  • Open-source model (MIT)
  • OpenAI API access (whisper-1 deprecated; removal from the API on Feb 26, 2027)
  • Speaker diarization (via community tools)

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