unpdf
Python bindings for unpdf - High-performance PDF content extraction to Markdown, text, and JSON.
Installation
pip install unpdf-markdown
The distribution is unpdf-markdown; the import name is unpdf.
Quick Start
import unpdf
# Convert PDF to Markdown
markdown = unpdf.to_markdown("document.pdf")
print(markdown)
# Convert PDF to plain text
text = unpdf.to_text("document.pdf")
print(text)
# Convert PDF to JSON
json_data = unpdf.to_json("document.pdf", pretty=True)
print(json_data)
# Get document information
info = unpdf.get_info("document.pdf")
print(info)
# Get page count
pages = unpdf.get_page_count("document.pdf")
print(f"Total pages: {pages}")
# Check if file is a valid PDF
is_valid = unpdf.is_pdf("document.pdf")
print(f"Is valid PDF: {is_valid}")
API Reference
to_markdown(path: str) -> str
Convert a PDF file to Markdown format.
to_text(path: str) -> str
Convert a PDF file to plain text.
to_json(path: str, pretty: bool = False) -> str
Convert a PDF file to JSON format.
get_info(path: str) -> dict
Get document metadata (title, author, page count, etc.)
get_page_count(path: str) -> int
Get the number of pages in a PDF file.
is_pdf(path: str) -> bool
Check if a file is a valid PDF.
version() -> str
Get the version of the native library.
get_extraction_quality(path: str) -> dict
Document-level extraction diagnostics: char_count, word_count,
replacement_char_count, encrypted, is_scan_pdf, suppressed_ocr_pages.
get_page_stats(path: str, page_number: int) -> dict
Per-page content-stream operator counts (1-indexed): page, text_op_count,
image_op_count, ocr_text_suppressed.
Detecting scanned (image-only) PDFs
Empty output can mean a scanned document, a genuinely blank page, or a parse failure. The introspection surface tells them apart:
import unpdf
if unpdf.get_extraction_quality("scan.pdf")["is_scan_pdf"]:
print("Scanned document - OCR required")
stats = unpdf.get_page_stats("scan.pdf", 1)
if stats["text_op_count"] == 0 and stats["image_op_count"] > 0:
print("Page 1 is image-only (scanned)")
elif stats["text_op_count"] == 0:
print("Page 1 is genuinely blank")
Note: a searchable scan (page image plus an invisible OCR text layer) reports
text_op_count > 0 — combine the check with ocr_text_suppressed, which flags
pages whose unreadable OCR layer was dropped.
Also note that get_info()["resource_count"] counts the extracted-resource
inventory, which this binding's parse path leaves empty (resource extraction is off
by default to bound peak memory) — it is not a count of images on the page. Use
get_page_stats for scan detection.
Handling failures
UnpdfError carries a kind so you can branch on the reason a call failed instead
of matching on message text:
from unpdf import to_text, ErrorKind, UnpdfError
try:
text = to_text("document.pdf")
except UnpdfError as e:
if e.kind == ErrorKind.ENCRYPTED:
print("Password required")
elif e.kind in (ErrorKind.CORRUPTED, ErrorKind.PDF_PARSE):
print("The file is damaged")
else:
print(f"Extraction failed ({e.kind.name}): {e}")
UnpdfError subclasses RuntimeError, so existing except RuntimeError handlers
keep working. ErrorKind values are part of the native ABI: new reasons take new
numbers and existing ones are never renumbered, so treat an unrecognised value as a
generic failure.
License
MIT License
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