| Overview |
Accurate speech-to-text API with built-in audio intelligence features like summarization, sentiment analysis, and topic detection. |
High-speed inference platform optimized for serving open-source models with extremely low latency and high throughput. |
| Pricing |
Pay-per-use ($-$$$) |
Pay-per-use ($-$$$) |
| Key Features |
- Speech-to-text
- Speaker diarization
- Summarization
- Sentiment analysis
- Topic detection
- PII redaction
- Real-time transcription
|
- Fast inference
- Function calling
- JSON mode
- Grammar mode
- Fine-tuning
- OpenAI-compatible
- Firefunction
|
| Pros |
- High accuracy
- Rich audio intelligence
- Easy integration
- Real-time support
|
- Very fast inference
- Competitive pricing
- Structured output
- Good function calling
|
| Cons |
- English-focused
- Can be expensive
- Limited language support
|
- Smaller ecosystem
- Limited model selection
- Newer platform
|
