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Applied AI In-house

Sintetizador

Brings videos, audio files, PDFs and text together in one project, transcribes them on our own machine and organizes the content into knowledge the team can use.

Structural illustration, not a screenshot
Problem it solves
Useful knowledge gets stuck in hours of video and meetings no one has time to rewatch.
Who it's for
Our own use, for learning and content production.
Current stage
In internal use.
Built with
  • Node.js
  • Whisper
  • ffmpeg

What already works

  • Transcription that runs on our own machine, without sending audio anywhere
  • Short videos read as frames, cuts and time-stamped speech
  • Output written and reviewed before it becomes material

Related to our Applied AI work, where the same kind of solution is built for clients.

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Would something like this make a difference in your operation?

Tell us the problem. Sometimes it calls for a piece like this, sometimes for something much simpler.