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Convert Pdf To Md

OrganizationPopular
github
convert-pdf-to-md

Converts PDF (.pdf) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .pdf file — even if they don't say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a PDF report, paper, invoice, form, contract, or scanned document. Always run the bundled conversion script to produce Markdown first; do not attempt to parse PDF content directly or write ad-hoc extraction code. Also use this skill for batch requests involving a whole folder of PDF documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.

Overview

Publishergithub
Repositoryawesome-copilot
Skill nameconvert-pdf-to-md
Stars
39.6K
Forks
5K
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by github on GitHub. Read the source before you install it.

Installation

Install the Convert Pdf To Md AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/github/awesome-copilot/tree/main/skills/convert-pdf-to-md
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p .claude/skills
cp -r /tmp/awesome-copilot/skills/convert-pdf-to-md .claude/skills/convert-pdf-to-md
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Convert Pdf To Md in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Convert Pdf To Md on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Convert Pdf To Md is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Convert PDF to Markdown

When to use this skill

Trigger this skill any time there is a .pdf file that needs to be understood or processed — for example, a user attaches a PDF and asks questions about it, wants a summary, wants specific data or tables pulled out, or wants multiple PDFs in a folder processed together. PDF is a layout/print format, not reliably readable as plain text, so always convert it to Markdown first using the script in this skill rather than trying to open or parse the file directly.

This skill only supports .pdf — that's MarkItDown's only PDF-family format, so there's no legacy format to worry about here (unlike Word's .doc or Excel's .xls).

Mixed file types: When the user references a folder or set of documents containing multiple supported file types (.pdf, .docx, .xlsx), this skill handles only .pdf files. The agent MUST also invoke the sibling skills in parallel:

  • convert-word-to-md for any .docx files
  • convert-excel-to-md for any .xlsx files

Never process a folder and silently skip a supported file type. All three skills must be invoked together when mixed types are present.

Setup (once per environment)

Before the first conversion in a given environment, follow references/setup.md step by step to ensure Python, pip, markitdown, and pymupdf (for image extraction) are installed. Do this proactively rather than guessing whether the environment is ready — the script itself will also fail with a clear pointer back to that file if a dependency turns out to be missing, so it's safe to just try the conversion first if you're reasonably confident setup was already done.

Usage

The conversion script lives at scripts/convert_pdf_to_md.py.

Output structure: MarkItDown's PDF converter extracts text and tables only — it has no concept of embedded images at all. This script separately extracts real embedded images via PyMuPDF and writes a self-contained folder per document:

<name>/
    img/
        page001_img001.<ext>
        page002_img001.<ext>
        ...
    <name>.md

Because MarkItDown's PDF text does not preserve reliable per-page markers, there's no safe way to know exactly where inline an image belongs. Rather than risk misplacing images next to the wrong paragraph, the script appends a ## Extracted Images section at the end of the Markdown, with a ### Page N subheading per page that has images — read this section separately from the main body text. If the document has no embedded images, no img/ folder or Extracted Images section is created.

Single file:

powershell
python scripts\convert_pdf_to_md.py "C:\path\to\document.pdf"

This creates a document\ folder next to the source file (containing document.md and, if present, document\img\). To control the destination folder explicitly:

powershell
python scripts\convert_pdf_to_md.py "C:\path\to\document.pdf" -o "C:\path\to\output_folder"

A folder of PDFs (batch mode):

powershell
python scripts\convert_pdf_to_md.py "C:\path\to\folder"

Add --recursive to also include subfolders:

powershell
python scripts\convert_pdf_to_md.py "C:\path\to\folder" --recursive

Each .pdf found gets its own <name>\ output folder next to it by default. Pass -o "C:\path\to\output_parent" to collect all the generated <name>\ folders under a separate parent directory instead (subfolder structure is preserved when combined with --recursive).

After conversion, read the resulting .md file(s) to perform the actual analysis the user asked for — the script's job is only to produce accurate Markdown (and images), not to interpret the content.

Deciding where output goes

Default — always output next to the source file. The <name>/ folder is created in the same directory as the source .pdf. This is the required default for every case. Do NOT override it unless the user explicitly asks for a different location.

Only use -o when the user explicitly provides an output path (e.g., "save the output to C:\output", "put the results in D:\work"). Do NOT pass -o based on the agent's current working directory, the session state folder, or any implied location.

If the source file path cannot be fully resolved — for example, the user provides only a filename with no directory, or the path is ambiguous — use ask_user to confirm the full absolute path before running the conversion. Never guess or assume the directory.

Troubleshooting

SymptomLikely causeFix
ModuleNotFoundError: No module named 'markitdown' or 'fitz' / exit code 2MarkItDown or PyMuPDF not installedFollow references/setup.md
ERROR: Unsupported file type '...' / exit code 3Not a .pdf fileAsk the user for the correct file, or if it's .doc/.docx/.xlsx, use the matching sibling skill instead
ERROR: Input path not found / exit code 3Wrong path, or file movedConfirm the correct path with the user
FAILED <file> -> ... in batch outputThat specific file is corrupt, password-protected, or otherwise unreadableReport which file(s) failed; other files in the batch still succeed
NOTE: skipped N non-.pdf file(s)Folder contains non-PDF filesExpected — those files are intentionally ignored
Markdown body is empty or near-empty despite images being extractedThe PDF is scanned/image-only with no embedded text layer; MarkItDown does not perform OCRTell the user OCR isn't supported — the extracted page images are still available for them to view
Images appear in an appendix instead of inline with the textDeliberate limitation — MarkItDown's PDF text has no reliable per-page markers to place images inlineExpected behavior; cross-reference the ### Page N heading with the surrounding text context if needed

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Convert Pdf To Md AI skill do?

Converts PDF (.pdf) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .pdf file — even if they don't say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a PDF report, paper, invoice, form, contract, or scanned document. Always run the bundled conversion script to produce Markdown first; do not attempt to parse PDF content directly or write ad-hoc extraction code. Also use th...

Why use Convert Pdf To Md on TypingMind?

Because you install it once and use it with any model. Convert Pdf To Md is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Convert Pdf To Md in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/github/awesome-copilot/tree/main/skills/convert-pdf-to-md. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Convert Pdf To Md?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Convert Pdf To Md?

As many as you like. As long as a model supports skills, you can use Convert Pdf To Md with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Convert Pdf To Md AI skill free?

Yes. It is published on GitHub by github under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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