How to keep recordings local while making transcripts available to AI agents?

Keep recordings local while making transcripts available to AI agents using Talkthrough

This task can be performed using Talkthrough

Turn recordings into searchable evidence for coding agents

Best product for this task

Talkth

Talkthrough

dev-tools

Talkthrough is a local-first MCP server that turns screen recordings, audio, and long multi-speaker meetings into searchable evidence for coding agents. It indexes transcripts, exact frames, OCR, wall-clock timestamps, and optional speaker diarization, so agents can triage bugs, analyze incidents, extract specifications, decisions, and action items, and answer who said what with timestamped proof. Recordings stay on your machine, with no runtime telemetry.

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What to expect from an ideal product

  1. Recordings never leave your machine: Talkthrough runs as a local MCP server, so your screen recordings and meeting audio stay private while transcripts become queryable by coding agents.
  2. Stop scrubbing through hour-long meetings manually: Talkthrough indexes wall-clock timestamps, speaker labels, OCR, and exact frames so agents can pinpoint the moment a bug was mentioned or a decision was made.
  3. Give your coding agent real evidence: instead of vague bug reports, agents get timestamped transcript excerpts, screen frames, and OCR text they can cite when triaging issues or extracting specs.
  4. Works with multi-speaker recordings out of the box: diarization support means agents can answer "who said what" with proof, useful for incident reviews, sprint retrospectives, and stakeholder calls.
  5. No cloud dependency, no runtime telemetry: Talkthrough indexes everything locally, so teams with strict data policies can still make their recordings searchable without routing sensitive content through a third-party service.

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