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How to use LT2 MD: what you can do with it

LT2MD is an AI agent skill that converts PDFs to reusable Markdown with each block labeled by PDF page, and can check and repair older Markdown conversions against the source PDF.

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What do you want to do?

4 use cases

  • Convert a scanned PDF to Markdown with page labels

    Turn a scanned or formula-heavy PDF into Markdown where every block shows its source page.

    View prompt
    Use the LT2MD skill in the libnyx/LT2MD repo to convert pages <page range> of <path to scanned PDF> to Markdown. Keep formulas, write an image description beside every figure, label each block with its PDF page number, add transcription notes where anything is unclear, and run the validator. Expected output: one Markdown file plus a summary of the validator result; verify that the page labels match the source pages.

  • Check and fix an old Markdown conversion against its PDF

    Re-verify a Markdown file you converted earlier, page by page, and fix errors and omissions.

    View prompt
    Use the LT2MD skill in the libnyx/LT2MD repo to check <path to existing Markdown> against its source PDF <path to PDF>. Re-recognize any paragraph that is wrong or missing, verify formulas and figures against the source, and list every page you changed. Expected output: a corrected Markdown file and a change report; verify three changed pages against the PDF by hand.

  • Turn a diagram-heavy PDF into a searchable Markdown base

    Convert a manual or course PDF full of flowcharts and charts into text that reads without the images.

    View prompt
    Use the LT2MD skill in the libnyx/LT2MD repo to convert <path to PDF> to Markdown, writing the content of every flowchart, diagram, and chart as text beside its caption and labeling each block with its PDF page. Expected output: one Markdown file; verify that three figure descriptions match their source pages, including arrow directions and labels.

  • Regroup an exam question bank PDF by topic or type

    Convert a PDF question bank accurately, then have the agent sort or vary the questions.

    View prompt
    Use the LT2MD skill in the libnyx/LT2MD repo to convert <path to question bank PDF> to Markdown, keeping formulas and labeling each question with its PDF page. After validation, group the questions by <topic or type>. Expected output: a grouped Markdown file where each question keeps its page number; verify five questions with formulas against the source pages.

Quick start with LT2 MD

  1. Check you have what it needs: Python installed on Windows, Linux, or macOS; git installed to clone the repository; A supported AI agent that can load the skill (the README names Claude Code and Codex).
  2. Open libnyx/LT2MD on GitHub and read the README and license.
  3. Clone the skill into your agent's skills directory, for example git clone https://github.com/libnyx/LT2MD.git ~/.claude/skills/LT2MD on macOS or Linux with Claude Code.
  4. Start your agent and send it the conversion request with the PDF path and the page range.
  5. Ask the agent to keep formulas, describe every figure next to its caption, and add transcription notes where text is unclear.
  6. Wait for the batch-by-batch run to finish and the validator to report.

These steps come from our top use case, Convert a scanned PDF to Markdown with page labels, which also has a copy-paste agent prompt.

Use this in your AI agent

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Using the Deduped MCP, get the setup steps for libnyx/LT2MD

Add Deduped to Claude Code once

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

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LT2 MD alternatives · Best AI repos for Research

About this repo

  • Who it is forStudents, researchers, engineers, and anyone with long, scanned, or figure-heavy PDFs who need Markdown they can trace back to specific pages.
  • Why it is hot110 stars, launched 71 days ago
  • LanguagePython
  • Sourcegithub.com/libnyx/LT2MD · Back to Hot repos

Requirements

  • Python installed on Windows, Linux, or macOS
  • git installed to clone the repository
  • A supported AI agent that can load the skill (the README names Claude Code and Codex)
  • The PDF file to convert, with the page range you want
  • A host model that can understand images, since transcription quality depends on it

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Questions about LT2 MD

What is LT2 MD?

LT2MD is an AI agent skill that converts PDFs to reusable Markdown with each block labeled by PDF page, and can check and repair older Markdown conversions against the source PDF. It is an open-source project on GitHub: https://github.com/libnyx/LT2MD.

Who is LT2 MD for?

Students, researchers, engineers, and anyone with long, scanned, or figure-heavy PDFs who need Markdown they can trace back to specific pages.

What can I do with LT2 MD?

4 use cases so far, for example: Convert a scanned PDF to Markdown with page labels; Check and fix an old Markdown conversion against its PDF; Turn a diagram-heavy PDF into a searchable Markdown base. Each has steps and a copy-paste agent prompt.

What do I need to run LT2 MD?

Python installed on Windows, Linux, or macOS; git installed to clone the repository; A supported AI agent that can load the skill (the README names Claude Code and Codex); The PDF file to convert, with the page range you want.

What are alternatives to LT2 MD?

Other hot AI repos in Research: Trustworthy Agent Simulation, Kaas, By2 KB, Md2 HD, Loci.

Is LT2 MD safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.