Hume 1.0 API
API that analyzes human emotion and tone in real time using voice and text data, enabling empathetic AI applications.
AI Overview
Hume 1.0 API analyzes human emotion and sentiment from voice and text inputs in real time, enabling developers to build emotionally intelligent applications. It's best for companies creating customer service tools, mental health apps, and conversational AI that needs to understand and respond to user emotional states. It stands out by providing accurate emotion detection across multiple modalities without requiring manual labeling or complex setup.
Features
FREE
- ✓ Real-time voice emotion detection
- ✓ Text sentiment and tone analysis
- ✓ Multi-emotion classification per input
- ✓ Prosody and acoustic feature extraction
- ✓ Streaming API for live conversations
- ✓ Batch processing for large datasets
Use Cases
- → Analyze customer service call recordings to detect frustration and trigger escalation to supervisors
- → Build chatbots that adapt responses based on detected user emotional state in real time
- → Monitor mental health app conversations to identify distress signals and recommend support resources
- → Evaluate job interview recordings to assess candidate communication tone and emotional intelligence
- → Generate emotion-aware transcripts that tag sentiment shifts during conversations for analysis
Ready to try Hume 1.0 API?
Visit the official site to get started.