awesome-document-understanding VS OCRmyPDF

Compare awesome-document-understanding vs OCRmyPDF and see what are their differences.

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awesome-document-understanding OCRmyPDF
4 77
1,115 12,002
- 4.9%
4.5 9.5
11 months ago 3 days ago
Python
- Mozilla Public License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

awesome-document-understanding

Posts with mentions or reviews of awesome-document-understanding. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-06.
  • [R] Are there any open-source implementations of Document Understanding pipelines?
    1 project | /r/MachineLearning | 4 Nov 2022
    I have worked on several Document Understanding (DU) projects for my company during the last year. We've mainly used UiPath and Google's DocumentAI.
  • Pdfsandwich
    6 projects | news.ycombinator.com | 6 Nov 2021
    While trying to find a specific project I recalled, I encountered this list of projects which might be of interest: https://github.com/tstanislawek/awesome-document-understandi...

    The project I had in mind was similar to this one but I can't remember the name currently: https://github.com/tabulapdf/tabula

    However, if you're looking for a ML-based, invoice-specific project looks like the other comment to your reply might be more useful.

  • Extract informations from invoices with machine learning
    2 projects | /r/deeplearning | 7 Apr 2021
    Check out this repository for inspiration: https://github.com/tstanislawek/awesome-document-understanding
  • [P] Curated List of Document Understanding (DU) Papers & Resources.
    1 project | /r/deeplearning | 7 Apr 2021
    In the last few years, I spent a lot of time working on automate business processes of big companies and seeing rising interest in DU topics (especially from Key Information Extraction field). Therefore, I create a list https://github.com/tstanislawek/awesome-document-understanding of resources to make easier to track all the papers out there which are relevant to this topic.

OCRmyPDF

Posts with mentions or reviews of OCRmyPDF. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-14.

What are some alternatives?

When comparing awesome-document-understanding and OCRmyPDF you can also consider the following projects:

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

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)

unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

tesserocr - A Python wrapper for the tesseract-ocr API

awesome-ocr

Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents

awesome-document-understandi

invoice2data - Extract structured data from PDF invoices

awesome-huggingface - 🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.

pdfminer.six - Community maintained fork of pdfminer - we fathom PDF