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How to get the exact processing plan for a folder of lecture files with Lecture to Notes

Drop video, audio, PDF decks or slide images in a folder and get the ordered commands to run.

  • Top pick
  • Research
  • Intermediate
  • 15 minutes
  • From the README
  • Any agent

Who it is forA student with a recorded course, a slide PDF and no idea where to start.

The problemDifferent input mixes need different pipelines.

The outcomeA printed, plan-only list of commands plus the questions a human must answer first.

What you need first

  • Python with the requirements files
  • A GPU for local Whisper transcription
  • Ollama with minicpm-v:8b for optional slide semantics
  • An LLM for the final synthesis stage

Steps

  1. Clone with git clone https://github.com/drpwchen/lecture-to-notes and install requirements
  2. Copy the config with cp config.example.yaml config.yaml
  3. Run python scripts/route_inputs.py /path/to/material_folder
  4. Answer the listed questions, then run the printed commands

Prompt for your agent

Run `python scripts/route_inputs.py <folder>` from drpwchen/lecture-to-notes with --json and list each step with whether it needs GPU or network. Confirm nothing was written to disk.

Caveat. route_inputs.py never runs anything; you or your agent still execute each command.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for drpwchen/lecture-to-notes and "Get the exact processing plan for a folder of lecture files"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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