Generated banner for Convert PDF To Md
Generated logo for Convert PDF To Md

Convert PDF To Md

GitHubOfficialFirst committed by 1YaoWei0Distributed by GitHub

  • Skill
  • Tool integration
  • Automation and integrations
  • MIT
  • Low risk
  • Has scripts

From the author

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.
— the description by 1YaoWei0

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a reliable way to convert PDF files into Markdown, enabling AI agents to accurately analyze, summarize, or extract data from documents. Because PDFs are layout-oriented, this skill uses a dedicated script to parse text and tables via MarkItDown while simultaneously extracting embedded images using PyMuPDF. It handles single files or batch processing of entire folders and ensures that extracted images are organized into a structured output folder, maintaining a clear separation between document text and visual assets.

What it does

  • Converts PDF files into Markdown format for easier processing.
  • Extracts embedded images from PDFs and saves them into a dedicated subfolder.
  • Supports batch processing of entire folders, including recursive subfolder traversal.
  • Appends extracted images to the end of the Markdown file in a structured appendix.
  • Integrates with sibling skills to handle mixed-format document batches.
  • Provides clear error reporting for corrupt, password-protected, or image-only PDFs.

When to use it

  • When a user asks to read, summarize, or analyze a PDF document.
  • When you need to extract specific data or tables from a PDF report, invoice, or contract.
  • When processing a folder containing multiple PDF files.
  • When a user provides a mix of PDF, Word, and Excel files, requiring coordinated conversion.

Advantages

  • Ensures consistent and accurate text extraction from complex PDF layouts.
  • Preserves embedded images by extracting them into a separate, organized directory.
  • Prevents data loss in mixed-format batches by coordinating with sibling conversion skills.
  • Provides a standardized output structure that is easy to navigate and analyze.

Usage examples

“Can you summarize this invoice.pdf for me?”
The agent invokes the conversion script to turn the PDF into Markdown, then reads the resulting text to provide a summary.
“Analyze all the reports in C:\Documents\Q3_Reports”
The agent runs the conversion script in batch mode on the specified folder, then processes the generated Markdown files to perform the analysis.
“Extract the data from these files: project.pdf, notes.docx, and budget.xlsx”
The agent invokes convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md in parallel to ensure all files are processed.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/github/convert-pdf-to-md/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip convert-pdf-to-md.zip -d .agents/skills

Documentation by 1YaoWei0

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:

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:

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

A folder of PDFs (batch mode):

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

Add --recursive to also include subfolders:

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

Files

scripts/convert_pdf_to_md.py

#!/usr/bin/env python3
"""Convert PDF documents to Markdown using Microsoft's MarkItDown, with
embedded images extracted to real files via PyMuPDF (MarkItDown's PDF
converter only extracts text/tables -- it does not detect or emit anything
for embedded images at all).

Usage:
    python convert_pdf_to_md.py <input> [-o OUTPUT] [--recursive]

<input> may be either:
  - a path to a single .pdf file, or
  - a path to a directory (batch mode: every .pdf file directly inside it
    is converted; pass --recursive to also descend into subdirectories).

Output:
  For each source .pdf (named "<name>.pdf"), a folder is created containing
  the Markdown and its images, in this layout:

      <name>/
          img/
              page001_img001.<ext>
              page001_img002.<ext>
              page002_img001.<ext>
              ...
          <name>.md

  IMPORTANT: MarkItDown's PDF text extraction does not preserve reliable
  per-page markers in the returned Markdown (pages are simply joined
  together, or in some cases returned as a single unmarked block of text).
  That means there is no safe way to know exactly where, inline, an image
  should go. Rather than guess and risk misplacing an image next to the
  wrong paragraph, this script appends a clearly labeled "## Extracted
  Images" section at the end of the Markdown, with a "### Page N"
  subheading per page that contains images. This is a deliberate, honest
  tradeoff -- read the images section separately from the main body text.

  - Single file mode: the "<name>/" folder is created next to the source
    file, or at -o/--output (treated as the exact destination folder) if
    given.
  - Batch/directory mode: a "<name>/" folder is created next to each source
    file, or under -o/--output (treated as a parent directory, created if
    missing) if given, preserving relative subfolder structure when
    --recursive is used.
  - If a document has no embedded images, no "img/" folder or "Extracted
    Images" section is created.

Exit codes:
  0 - all requested conversions succeeded
  1 - one or more conversions failed (partial success in batch mode)
  2 - a required dependency ("markitdown" or "pymupdf") is not installed
  3 - invalid input (path not found, or single-file input is not .pdf)
"""
import argparse
import sys
import hashlib
import shutil
from pathlib import Path

EXIT_OK = 0
EXIT_CONVERSION_FAILED = 1
EXIT_MISSING_DEPENDENCY = 2
EXIT_INVALID_INPUT = 3


def _import_markitdown():
    """Import MarkItDown, failing with a clear, actionable message if absent."""
    try:
        from markitdown import MarkItDown
        return MarkItDown
    except ImportError:
        print(
            "ERROR: The 'markitdown' package is not installed.\n"
            "See references/setup.md for this skill, or run:\n"
            '    pip install "markitdown[pdf]"',
            file=sys.stderr,
        )
        sys.exit(EXIT_MISSING_DEPENDENCY)


def _import_fitz():
    """Import PyMuPDF (module name 'fitz'), failing with a clear message if absent."""
    try:
        import fitz
        import hashlib
        return fitz
    except ImportError:
        print(
            "ERROR: The 'pymupdf' package is not installed (needed for image "
            "extraction).\nSee references/setup.md for this skill, or run:\n"
            "    pip install pymupdf",
            file=sys.stderr,
        )
        sys.exit(EXIT_MISSING_DEPENDENCY)


def extract_images(fitz, pdf_path: Path, img_dir: Path):
  """Extract embedded images from pdf_path, grouped by 1-based page number.
  Returns {page_num: [filename, ...]} in per-page image order. Files are
  named 'page{P:03d}_img{N:03d}.<ext>'. Corrupt/unreadable images are
  skipped with a warning rather than aborting the whole conversion.

  Two sources are combined and deduplicated:
    1. Image XObjects via page.get_images(full=True) -- covers most embedded
     images in modern PDFs.
    2. Inline image blocks via page.get_text("dict") -- covers images stored
     directly in the page content stream, which get_images() misses entirely.
  Deduplication is by image bytes hash so the same raster is never written twice
  on the same page regardless of which source reported it."""
  written_by_page = {}
  try:
    doc = fitz.open(str(pdf_path))
  except Exception as exc:  # noqa: BLE001
    print(f"WARNING: could not open {pdf_path} for image extraction: {exc}", file=sys.stderr)
    return written_by_page

  try:
    for page_index in range(len(doc)):
      page = doc[page_index]
      page_label = page_index + 1
      seen_hashes: set = set()
      raw_images: list[tuple[bytes, str]] = []  # (image_bytes, ext)

      # --- Source 1: XObject images ---
      try:
        xobjects = page.get_images(full=True)
      except Exception as exc:  # noqa: BLE001
        print(
          f"WARNING: failed to enumerate XObject images on page {page_label} "
          f"of {pdf_path}: {exc}",
          file=sys.stderr,
        )
        xobjects = []

      for img in xobjects:
        xref = img[0]
        try:
          base_image = doc.extract_image(xref)
        except Exception as exc:  # noqa: BLE001
          print(
            f"WARNING: failed to extract XObject image xref={xref} on page "
            f"{page_label} of {pdf_path}: {exc}",
            file=sys.stderr,
          )
          continue
        img_bytes = base_image.get("image") or b""
        if not img_bytes:
          continue
        ext = (base_image.get("ext") or "png").lower()
        raw_images.append((img_bytes, ext))

      # --- Source 2: Inline images via get_text("dict") ---
      try:
        blocks = page.get_text("dict", flags=fitz.TEXT_PRESERVE_IMAGES).get("blocks", [])
      except Exception as exc:  # noqa: BLE001
        print(
          f"WARNING: failed to extract text/image dict on page {page_label} "
          f"of {pdf_path}: {exc}",
          file=sys.stderr,
        )
        blocks = []

      for block in blocks:
        # Image blocks have type == 1
        if block.get("type") != 1:
          continue
        img_bytes = block.get("image") or b""
        if not img_bytes:
          continue
        # Derive extension from the block's "ext" key (fitz sets this)
        ext = (block.get("ext") or "png").lower()
        raw_images.append((img_bytes, ext))

      # --- Write deduplicated images ---
      page_files = []
      img_idx = 1
      for img_bytes, ext in raw_images:
        h = hashlib.sha256(img_bytes).digest()
        if h in seen_hashes:
          continue
        seen_hashes.add(h)
        out_name = f"page{page_label:03d}_img{img_idx:03d}.{ext}"
        img_dir.mkdir(parents=True, exist_ok=True)
        (img_dir / out_name).write_bytes(img_bytes)
        page_files.append(out_name)
        img_idx += 1

      if page_files:
        written_by_page[page_label] = page_files
  finally:
    doc.close()

  return written_by_page


def build_image_appendix(written_by_page) -> str:
    """Build the '## Extracted Images' appendix text. Returns "" if empty."""
    if not written_by_page:
        return ""
    lines = ["", "## Extracted Images", ""]
    for page_num in sorted(written_by_page):
        lines.append(f"### Page {page_num}")
        lines.append("")
        for name in written_by_page[page_num]:
            lines.append(f"![{name}](img/{name})")
        lines.append("")
    return "\n".join(lines).rstrip() + "\n"


def convert_one(md, fitz, source: Path, dest_dir: Path) -> bool:
    """Convert a single .pdf file to a '<name>/' folder containing the
    Markdown file and an 'img/' folder of extracted images. Returns True on
    success."""
    try:
        result = md.convert(str(source))
    except Exception as exc:  # noqa: BLE001 - surface any conversion error
        print(f"FAILED  {source} -> {exc}", file=sys.stderr)
        return False

    try:
        if dest_dir.exists():
            shutil.rmtree(dest_dir)
        dest_dir.mkdir(parents=True, exist_ok=True)
        written_by_page = extract_images(fitz, source, dest_dir / "img")
        appendix = build_image_appendix(written_by_page)
        text = result.text_content.rstrip("\n")
        full_text = f"{text}\n{appendix}" if appendix else f"{text}\n"
        md_path = dest_dir / f"{source.stem}.md"
        md_path.write_text(full_text, encoding="utf-8")
    except OSError as exc:
        print(f"FAILED  {source} -> could not write output in {dest_dir}: {exc}", file=sys.stderr)
        return False

    img_count = sum(len(v) for v in written_by_page.values())
    img_note = f", {img_count} image(s)" if img_count else ""
    print(f"OK      {source} -> {md_path}{img_note}")
    return True


def find_pdf_files(root: Path, recursive: bool):
    """Return (pdf_files, skipped_count) for files directly/recursively under root."""
    pattern_iter = root.rglob("*") if recursive else root.iterdir()
    pdf_files = []
    skipped = 0
    for entry in pattern_iter:
        if entry.is_dir():
            continue
        if entry.suffix.lower() == ".pdf":
            pdf_files.append(entry)
        else:
            skipped += 1
    return sorted(pdf_files), skipped


def main() -> int:
    parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
    parser.add_argument("input", help="Path to a .pdf file or a directory of .pdf files")
    parser.add_argument(
        "-o", "--output",
        help=(
            "Destination folder for the '<name>/' output (single-file mode), "
            "or parent directory under which each '<name>/' output folder is "
            "created (batch mode)"
        ),
    )
    parser.add_argument(
        "--recursive", action="store_true",
        help="When input is a directory, also search subdirectories",
    )
    args = parser.parse_args()

    #MarkItDown = _import_markitdown()
    #fitz = _import_fitz()
    #md = MarkItDown()

    source = Path(args.input)
    if not source.exists():
        print(f"ERROR: Input path not found: {source}", file=sys.stderr)
        return EXIT_INVALID_INPUT

    if source.is_file() and source.suffix.lower() != ".pdf":
         print(
             f"ERROR: Unsupported file type '{source.suffix}'. "
             "This skill only converts .pdf files.",
             file=sys.stderr,
         )
         return EXIT_INVALID_INPUT

    MarkItDown = _import_markitdown()
    fitz = _import_fitz()
    md = MarkItDown()

    if source.is_file():
        dest_dir = Path(args.output) if args.output else source.parent / source.stem
        return EXIT_OK if convert_one(md, fitz, source, dest_dir) else EXIT_CONVERSION_FAILED

    # Directory / batch mode
    pdf_files, skipped = find_pdf_files(source, args.recursive)
    if skipped:
        print(f"NOTE: skipped {skipped} non-.pdf file(s) in {source}")
    if not pdf_files:
        print(f"ERROR: No .pdf files found under {source}", file=sys.stderr)
        return EXIT_INVALID_INPUT

    out_dir = Path(args.output) if args.output else None
    success_count = 0
    for pdf_path in pdf_files:
        if out_dir is not None:
            rel = pdf_path.relative_to(source)
            dest_dir = out_dir / rel.parent / pdf_path.stem
        else:
            dest_dir = pdf_path.parent / pdf_path.stem
        if convert_one(md, fitz, pdf_path, dest_dir):
            success_count += 1

    total = len(pdf_files)
    print(f"\nConverted {success_count}/{total} file(s).")
    return EXIT_OK if success_count == total else EXIT_CONVERSION_FAILED


if __name__ == "__main__":
    sys.exit(main())

Requirements and compatibility

Written for: GitHub Copilot

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python

Security

What our scanner noticed· Low risk

  • Instructions that use the network
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

First committed by
GitHub avatar of 1YaoWei01YaoWei0
Publisher
GitHub (Official)
Distributed by
GitHub
Source
github/awesome-copilot · skills/convert-pdf-to-md · commit 797337f
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Contributors
1YaoWei0

AutoGineer is not affiliated with or endorsed by 1YaoWei0 or GitHub.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download convert-pdf-to-md.zip