OpenAI Whisper API vs Rev.ai
Speech-to-Text
| O OpenAI Whisper API | R Rev.ai | |
|---|---|---|
| Free tier | Paid only | ✓ Free tier |
| Pricing model | usage | usage |
| Price | $0.006 (per minute) | $0.02 (per minute) |
| Features | ||
| Languages | en, ja, zh, ko, fr, de, es | en |
| API | ✓ Available Docs ↗ | ✓ Available Docs ↗ |
| Homepage | OpenAI Whisper API ↗ | Rev.ai ↗ |
| Pricing Plans | Pay-as-you-go$0.006/minFlat rate, all languages Open-source (self-host)$0Run Whisper model locally for free | Free$0300 minutes free on signup Pay-as-you-go$0.02/min asyncStreaming at $0.021/min EnterpriseCustomVolume discounts, dedicated infrastructure |
| Platforms | ||
| Integrations | OpenAI Platform, Python SDK, Node.js SDK, REST API | Webhooks, Python SDK, Node.js SDK, REST API |
- Excellent multilingual accuracy across 99 languages
- Built-in translation to English from any supported language
- Very low cost at $0.006/min
- Open-source model available for self-hosting
- No real-time streaming—batch/file upload only via API
- No speaker diarization in the hosted API
- Rate limits can affect high-throughput workloads
- Backed by Rev's human transcription quality baseline
- Reliable async and real-time transcription
- Speaker diarization and custom vocabulary support
- 300 free minutes for new accounts
- English-only—no multilingual support
- Accuracy slightly below Deepgram Nova-2 on noisy audio
- Fewer AI intelligence features than AssemblyAI
AI Commentary
The hosted Whisper API offers the easiest path to OpenAI's speech recognition model without infrastructure management. Its multilingual accuracy—particularly on low-resource languages—is among the best available. The major drawback is the absence of real-time streaming, limiting it to asynchronous transcription workflows. Teams needing real-time streaming should run the open-source model on their own infrastructure or use Deepgram/Azure Speech instead.
Rev.ai benefits from Rev's long history as a human transcription company, providing a quality-focused reputation that resonates with media and legal customers. The API is straightforward to integrate with good SDK support. However, it is English-only and lacks the AI intelligence layer (summaries, sentiment) that AssemblyAI provides. It sits in a competitive middle ground where Deepgram often wins on speed and AssemblyAI on features.