What It Does
Whisper is OpenAI’s open-source automatic speech recognition (ASR) model that transcribes and translates audio in over 100 languages. It can run locally, is available via API, and has become the backbone of countless transcription applications.
Key Features
- Open source — run locally without API costs (MIT license)
- 100+ languages — transcription and translation across languages
- Near-human accuracy — competitive with professional transcriptionists
- Multiple model sizes — from tiny (39M params) to large (1.5B params)
- Timestamp support — word-level and segment-level timestamps
- Translation — translate any language to English
- Robust — handles accents, background noise, and technical jargon
Pricing Breakdown
| Option | Cost |
|---|---|
| Local (open source) | Free |
| OpenAI API | $0.006/minute |
| Groq (fast inference) | $0.0001/minute |
Who It’s For
Developers building transcription features, researchers needing multilingual ASR, companies wanting self-hosted speech recognition, and anyone needing accurate transcription without cloud dependencies.
Competitive Position
Whisper democratized high-quality speech recognition by making it free and open. It powers most AI transcription startups under the hood. The open-source nature means it cannot be out-competed on price (free), only on quality or speed. Google’s USM and recent models may exceed its accuracy, but the ecosystem, tooling, and integration options make Whisper the default choice for developers.