pikepdf
local_adaptive_binarization
| pikepdf | local_adaptive_binarization | |
|---|---|---|
| 4 | 2 | |
| 2,026 | 124 | |
| 1.2% | - | |
| 9.5 | 0.0 | |
| 7 days ago | about 1 year ago | |
| Python | C++ | |
| Mozilla Public License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pikepdf
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This Week in Python
pikepdf – A Python library for reading and writing PDF, powered by qpdf
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Recovering redacted information from pixelated videos
Not off the shelf but here are some tools. I have no experience with them.
Wolf binarization - I think it makes the text more clear before OCR.
https://github.com/chriswolfvision/local_adaptive_binarizati...
This thing OCRs the pdf using Tesseract OCR
https://github.com/ocrmypdf/OCRmyPDF/
Two other pdf tools
https://github.com/qpdf/qpdf
https://github.com/pikepdf/pikepdf
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Show HN: Pystitcher – A Declarative Alternative to Pdftk
i recently transitioned a large PDF processing pipeline[1] away from PyPDF3 to use the pikepdf[2] library instead. pikepdf is based on the C++ `qpdf` library, and this switch has cut the necessary special-case manual checking + error handling in half compared to pypdf for these sorts of tasks.
[1]: i'm helping out with the CV Open Access archive, https://openaccess.thecvf.com/menu. broadly, our pipeline needs to ingest tons of author-provided PDFs of varying quality and output a canonical PDF with corrected page numbers, proper metadata, and a banner stamped on the first page. it's a lot of work, and it's not uncommon for pypdf to simply fail for slightly invalid input or give garbled results. this isn't optimal since we can't review 2,000 papers per conference release lol. pypdf has been nice, but pikepdf has handled everything i've thrown at it.
[2] https://pikepdf.readthedocs.io
- a collection of pdf-files (copy of a book ) in disorder: solfing wiht pikepdf
local_adaptive_binarization
-
Recovering redacted information from pixelated videos
Not off the shelf but here are some tools. I have no experience with them.
Wolf binarization - I think it makes the text more clear before OCR.
https://github.com/chriswolfvision/local_adaptive_binarizati...
This thing OCRs the pdf using Tesseract OCR
https://github.com/ocrmypdf/OCRmyPDF/
Two other pdf tools
https://github.com/qpdf/qpdf
https://github.com/pikepdf/pikepdf
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Tesseract OCR
(2): https://github.com/chriswolfvision/local_adaptive_binarizati...
What are some alternatives?
fpdf2 - Simple PDF generation for Python
BoofCV - Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.
borb - borb is a library for reading, creating and manipulating PDF files in python.
scantailor-advanced - ScanTailor Advanced is the version that merges the features of the ScanTailor Featured and ScanTailor Enhanced versions, brings new ones and fixes.
PyPDF2 - A utility to read and write PDFs with Python [Moved to: https://github.com/py-pdf/PyPDF2]
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
qpdf - QPDF: A content-preserving PDF document transformer
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
PyPDF2 - A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
im2markup - Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)
malicious-pdf - 💀 Generate a bunch of malicious pdf files with phone-home functionality. Can be used with Burp Collaborator or Interact.sh
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.