Voice AI & transcription
Transcribe, subtitle and analyse speech: meeting minutes, call analysis, voicebots and accessibility.
What is it, in practice?
Voice AI understands and produces speech: transcribing a conversation, subtitling a video, analysing what was said on a call or holding a spoken dialogue. It makes the spoken word usable, for productivity as well as accessibility.
Speech carries much of an organisation's information: meetings, customer calls, training sessions, team catch-ups. But once spoken, it is gone. Automatic transcription captures it as text, where it can be read, searched and analysed.
Beyond transcription, voice AI opens two paths. On the analysis side: summarising a meeting, pulling out action points, gauging the tone of customer calls. On the interaction side: subtitling for accessibility, or talking to a voicebot. Either way, what is said is no longer lost.
How it works
Adapt the engine to the context
We configure transcription for your industry vocabulary, accents and recording conditions.
Transcribe and structure
Audio is converted into text, split by speaker and time-stamped.
Analyse the content
Depending on the need: summaries, action points, topics covered, tone of the conversations.
Share or integrate
Results feed into your tools: meeting minutes, subtitles, customer relationship tracking.
When should you use it?
- Transcribe and summarise your meetings automatically
- Subtitle your videos and podcasts
- Analyse calls in a customer contact centre
- Set up a voicebot or a voice interface
What we deliver
- Transcription engine tuned to your vocabulary
- Automatic summaries and analysis
- Integration with your telephony or videos
Every project starts with scoping your needs and checking feasibility, before a single line of code.