Your users speak to your software, in their own language
Your users are in the field, on the move, hands busy. Voice becomes the most natural way to interact with your software.
What it does
Voice becomes a natural interface for your software. Your users dictate, command, and query, in real time, in their language.
Real-time capture
Low-latency streaming transcription. Users see text appear as they speak. The agent receives the text and can trigger actions immediately.
Batch or async processing
For recordings, meetings or audio documents, processing runs in batch or asynchronously, when latency is not critical.
Agentic workflow around voice
Transcription is just one step. The agent builds a complete workflow around voice capture (in real time or deferred) and can involve an LLM to enrich the result.
Multi-model transcription
A workflow can leverage two ASR models in sequence or in parallel, each more precise on certain aspects, to combine their strengths in a single pipeline.
Contextualisation
Proper nouns, product codes, user's job title, topics covered, domain glossary, user context: contextual information that improves the precision and quality of the result.
LLM post-processing
An LLM steps into the workflow to correct the transcription (typos, formatting), structure it, extract or integrate entities, or generate a summary.
Real-time WebSocket API
Bidirectional audio streaming via WebSocket. Simple integration into any web or mobile application.
WebSocket API • Real-time streaming • Multi-session Automatic language detection
Users speak in their language. The system automatically detects which one and seamlessly switches models, with no configuration needed on the user's side.
Hosted in France • GDPR native • No US cloud dependency • No duration limit • Audio never stored