InvoiceNet
OCRmyPDF
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InvoiceNet | OCRmyPDF | |
---|---|---|
4 | 77 | |
2,389 | 12,002 | |
- | 4.9% | |
3.9 | 9.5 | |
about 2 months ago | 4 days ago | |
Python | Python | |
MIT License | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
InvoiceNet
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How would you annotate resumes for object detection?
You can also possibly look at invoice extraction tools such as https://github.com/naiveHobo/InvoiceNet. They solve a similar issue and are researched fairly well, since there is a big market for that.
- Pdfsandwich
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Extract informations from invoices with machine learning
Also, I would suggest you to use this codebase: https://github.com/naiveHobo/InvoiceNet
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P Information Extraction From A Document
You can check out this repository. It contains an implementation of some recent research in deep learning for information extraction on invoices. https://github.com/naiveHobo/InvoiceNet
OCRmyPDF
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TextSnatcher: Copy text from images, for the Linux Desktop
Try https://github.com/ocrmypdf/OCRmyPDF - it uses Tesseract behind the scenes and it absolutely brilliant.
- FLaNK Stack Weekly 19 Feb 2024
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Calibre – New in Calibre 7.0
I recommend running any such PDFs through OCRmyPDF.
https://github.com/ocrmypdf/OCRmyPDF
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A better document viewer
If by "like a photocopy" you mean the file contains images of text rather than text, the MacOS viewer presumably does OCR on the images. I don't know if there's a Linux document viewer with that capability built-in, but a quick search turned up the standalone tool OCRmyPDF.
- Gibts ein (CLI) tool, das Kontrast und Helligkeit von gescannten Textdokumenten dynamisch anpasst?
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OCR for a full pdf on Neoreader
For anyone interested I solved the problem by first ocr files through the free and open source software ocrmypdf avaible here
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ELI5: why is PDF such a widespread text format, instead of a format that's actually easier to edit?
ocrmypdf is nice for stuff like that.
- Donut: OCR-Free Document Understanding Transformer
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massive crop and OCR newspaper
Use imagemagick to convert them to PDF and ocrmypdf to straighten and OCR. See this explanation.
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OCR pdf and just keep the OCR text
Fair enough, maybe this might work for you, it should seperate the text from image anyway and if you have Adobe acrobat it should be able delete the background too with the edit function. It may already be able to do that if you haven't tried it
What are some alternatives?
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
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)
pytorch2keras - PyTorch to Keras model convertor
pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic
tesserocr - A Python wrapper for the tesseract-ocr API
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
ripgrep-all - rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.
invoice2data - Extract structured data from PDF invoices
coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
pdfminer.six - Community maintained fork of pdfminer - we fathom PDF