Voice and knowledge workflows
LiveSpeech becomes useful, structured work.
A cross-platform voice product for capture, transcription, rewriting and document intelligence across web, desktop and mobile workflows.

01 / The challenge
Voice is fast, but raw transcripts rarely match the structure, tone or destination required for real work.
Voice captureTranscriptionModel routingCross-platform delivery
02 / Product decisions
Decisions before decoration.
- 01
Treat speech as an interface to workflows, not as an isolated transcription feature.
- 02
Separate capture, transcription, rewriting and delivery so each can recover independently.
- 03
Support different platforms without changing the user's mental model.
03 / The system
What had to work together.
- Audio capture and transcription
- Model and provider routing
- Structured rewrite and document workflows
- Web, desktop and mobile delivery surfaces
04 / Responsible delivery
Useful AI needs a boundary and a recovery path.
- 01
Explicit user control over captured material
- 02
Provider-aware failure handling
- 03
Verified delivery and fallback paths
05 / Evidence
What can be verified now.
- Public product available at verbscribe.com
- Cross-platform product surfaces
- Voice, writing and document workflows in one product system
Maturity: Live. No adoption, customer or performance metric is implied unless it is stated explicitly.
Discuss a similar problem ↗