Rev.ai vs Deepgram
Speech-to-Text
| R Rev.ai | D Deepgram | |
|---|---|---|
| Free tier | ✓ Free tier | ✓ Free tier |
| Pricing model | usage | usage |
| Price | $0.02 (per minute) | $0.10 (1 hour) |
| Features | ||
| Languages | en | en, ja |
| API | ✓ Available Docs ↗ | ✓ Available Docs ↗ |
| Homepage | Rev.ai ↗ | Deepgram ↗ |
| Pricing Plans | Free$0300 minutes free on signup Pay-as-you-go$0.02/min asyncStreaming at $0.021/min EnterpriseCustomVolume discounts, dedicated infrastructure | Free$0$200 in free credits on signup Pay-as-you-go$0.0043/minNova-2 model, no commitment GrowthFrom $4,000/yrVolume discounts, dedicated support EnterpriseCustomOn-prem, SLA, custom models |
| Platforms | ||
| Integrations | Webhooks, Python SDK, Node.js SDK, REST API | Twilio, Vonage, AWS, WebSocket streaming, Node.js / Python SDK |
- 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
- Best-in-class real-time transcription latency (<300ms)
- Nova-2 model delivers top accuracy on noisy audio
- Speaker diarization, smart formatting, and topic detection included
- Generous $200 free credit on signup
- Multilingual support still narrower than Azure Speech or Google STT
- On-premises deployment only on Enterprise tier
- No built-in meeting recorder—API-only product
AI Commentary
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.
Deepgram's Nova-2 model consistently ranks at or near the top of independent STT benchmarks for accuracy and latency on English audio. Its WebSocket-based real-time streaming is a preferred choice for live captioning, call center analytics, and voice-first application developers. The platform's developer experience—comprehensive SDKs, good documentation, and a generous free tier—has built a strong community. Multilingual breadth remains a gap versus Azure Speech.