Convert PDF To Md
GitHubOfficialFirst committed by 1YaoWei0Distributed by GitHub
- Skill
- Tool integration
- Automation and integrations
- MIT
- Low risk
- Has scripts
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
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/github/convert-pdf-to-md/downloadUnzip 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-mdfor any.docxfilesconvert-excel-to-mdfor any.xlsxfiles
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>.mdBecause 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" --recursiveEach .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
| Symptom | Likely cause | Fix |
|---|---|---|
ModuleNotFoundError: No module named 'markitdown' or 'fitz' / exit code 2 | MarkItDown or PyMuPDF not installed | Follow references/setup.md |
ERROR: Unsupported file type '...' / exit code 3 | Not a .pdf file | Ask 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 3 | Wrong path, or file moved | Confirm the correct path with the user |
FAILED <file> -> ... in batch output | That specific file is corrupt, password-protected, or otherwise unreadable | Report which file(s) failed; other files in the batch still succeed |
NOTE: skipped N non-.pdf file(s) | Folder contains non-PDF files | Expected — those files are intentionally ignored |
| Markdown body is empty or near-empty despite images being extracted | The PDF is scanned/image-only with no embedded text layer; MarkItDown does not perform OCR | Tell 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 text | Deliberate limitation — MarkItDown's PDF text has no reliable per-page markers to place images inline | Expected behavior; cross-reference the ### Page N heading with the surrounding text context if needed |
Files
- ATTRIBUTION.mdAdded by AutoGineer867 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md6.7 KiB
- references/setup.md2.6 KiB
- scripts/convert_pdf_to_md.pyScript11.3 KiB
- scripts/requirements.txt39 B
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"")
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
1YaoWei0
- 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