Amazon Transcribe vs whisper.cpp
No leader: the top candidate whisper.cpp has only 0.24 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for speech to text. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Amazon Transcribe
A fully managed API service that converts speech to text using advanced AI, supporting over 100 languages with features like speaker identification, custom vocabularies, and content filtering.
whisper.cpp
An open-source library that provides speech-to-text transcription capabilities, ported from OpenAI's Whisper model. It supports various hardware accelerators and runs on multiple platforms with a command-line interface.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Amazon Transcribe
From $0.006/minute for batch transcription. Free tier: 60 minutes/month for 12 months.
- Streaming Transcription$0.01/minute
- Real-time transcription
- 100+ language support
- Custom vocabulary
- Speaker diarization
- Automatic punctuation
- +1 more
- Batch Transcription$0.006/minute
- Batch audio processing
- Recorded file support
- 100+ language support
- Custom vocabulary
- Automatic language detection
- +1 more
- Call Analytics$0.03/minute (Tier 1, up to 250k minutes)
- Sentiment analysis
- Call categorization
- Call characteristics tracking
- Speaker identification
- Compliance monitoring
- +1 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.