OpenAI
Whisper
Robust open-source speech-to-text model.
Multilingual transcriptionExcellent accuracyOpen-source availabilityRobustness to noise
Today's score
85.0
Where it ranks today
Best for / Not great for
Best for
- General transcription tasks
- Transcribing diverse audio sources
- Translation
- Offline transcription solutions
Not great for
- Real-time transcription (latency)
- Generating speech
- Fine-grained speaker diarization without additional tools
Why it ranks here
Whisper remains a foundational open-source model for speech-to-text, praised for its accuracy and multilingual capabilities. While not designed for real-time use, its strength lies in its robustness and accessibility for developers building custom transcription solutions.
30-day trend
Score breakdown
Search trends86
Benchmarks84
Developer buzz86
News mentions84
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Open Source
Free to download and use.
Free
- Various model sizes
- API access via OpenAI (paid)
- Self-hosting required
- Multilingual support
OpenAI API
Transcribe via OpenAI's managed API.
$0.01 /usage
- Per minute pricing
- Managed infrastructure
- Real-time options (with latency)
- Translation