edgeparse
High-performance PDF-to-structured-data extraction for Python — powered by a Rust engine via PyO3.
Install
pip install edgeparse
Pre-built wheels are available for macOS, Linux (x86_64, arm64), and Windows (x64). No system dependencies or compilation required.
Quick start
import edgeparse
# Convert a PDF to Markdown
result = edgeparse.convert("document.pdf")
print(result.markdown)
# Convert with options
result = edgeparse.convert(
"document.pdf",
format="markdown", # "markdown" | "json" | "html"
extract_images=False,
page_range=None, # None = all pages, or [0, 5] for pages 1–6
)
CLI
edgeparse document.pdf # → Markdown on stdout
edgeparse document.pdf --format json # → JSON
edgeparse /path/to/dir/ --output-dir out/ # batch convert
Performance
edgeparse consistently leads open benchmarks for PDF-to-Markdown extraction quality across 200-document test suites.
Links
Release files for edgeparse 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| edgeparse-0.2.5.tar.gz | 7.9 MB | Details |
Built distributions (wheels)
Total release size: 94.8 MB
Release files / edgeparse-0.2.5.tar.gz
| Download URL | edgeparse-0.2.5.tar.gz |
|---|---|
| Size | 7.9 MB |
| Tags | Source |
|
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| Tags | CPython 3.13 Windows x86-64 |
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Transparency logRelease files / edgeparse-0.2.5-cp310-cp310-macosx_10_12_x86_64.whl
| Download URL | edgeparse-0.2.5-cp310-cp310-macosx_10_12_x86_64.whl |
|---|---|
| Size | 4.4 MB |
| Tags | CPython 3.10 macOS 10.12+ x86-64 |
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SHA-256 checksum How to use checksums |
b00fe793089ae8d120b0e967eb3999c31ad576133d65e7fa06622ee8c2083114
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BLAKE2b-256 checksum How to use checksums |
e3d9755b073459ea5ec93e7df01d00eeac8976c7ad814511ed426072ef0ce4aa
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Transparency log