tocPDF VS awesome-document-understanding

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

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
tocPDF awesome-document-understanding
1 4
31 1,136
- -
0.0 4.5
about 3 years ago 12 months ago
- -
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.

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.

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.

What are some alternatives?

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

pagelabels-py - Python library to manipulate PDF page labels

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

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

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

PDFMtEd - View and modify PDF metadata on Linux graphically

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

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

awesome-ocr

migmig-toc

awesome-document-understandi

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.