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Extract text from a PDF file.

Project description

🦀 crapdf

Extract text from a PDF file. Uses the lopdf crate. Kind of crappy.

from crapdf import extract, extract_bytes

# Extract from file path
texts: list[str] = extract("file.pdf")

# Extract from bytes
with open("file.pdf", "rb") as f:
    content = f.read()

texts: list[str] = extract_bytes(content)

Benchmark

Run the benchmarks using bench.py. Make sure to install dev dependencies from requirements-dev.txt.

Below is a table comparing the performance of the different providers.

↓ Provider water inflation chocolate mamba
pypdf 804.39ms (avg) 877.56ms (avg) 265.41ms (avg) 1769.91ms ≈ 1.8s (avg) 🥇
crapdf 386.43ms (avg) 421.94ms (avg) 🥇 111.79ms (avg) 💥 panic2
crapdf (bytes, mem)1 385.93ms (avg) 🥇 427.71ms (avg) 95.63ms (avg) 🥇 💥 panic2

1 mem – Usage with extract_bytes().
2 panic – The lopdf crate failed to load the PDF document, the error was "ToUnicode CMap error: Could not parse ToUnicodeCMap: Error!" which seems to be an encoding issue. I'm unsure of the probable cause, but it looks like they're discussing it here: J-F-Liu/lopdf ● #330.


AWeirdDev. GitHub Repo

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