awesome-document-understanding VS tocPDF

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

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awesome-document-understanding tocPDF
4 1
1,115 29
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4.5 0.0
11 months ago almost 3 years ago
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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.

tocPDF

Posts with mentions or reviews of tocPDF. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-01.

What are some alternatives?

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

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

pagelabels-py - Python library to manipulate PDF page labels

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

pdf-toc - a CLI tool to easily extract / edit ToC(Table of Content, or bookmark) of pdf file

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

PDFMtEd - View and modify PDF metadata on Linux graphically

awesome-ocr

react-toc - Light weight react component for creating a table of contents from the given markdown text⚡⚡

awesome-document-understandi

migmig-toc

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

odinson - Odinson is a powerful and highly optimized open-source framework for rule-based information extraction. Odinson couples a simple, yet powerful pattern language that can operate over multiple representations of text, with a runtime system that operates in near real time.