document-ai-samples
awesome-document-understanding
document-ai-samples | awesome-document-understanding | |
---|---|---|
5 | 4 | |
188 | 1,136 | |
4.3% | - | |
8.9 | 4.5 | |
4 days ago | 12 months ago | |
Jupyter Notebook | ||
Apache 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.
document-ai-samples
-
When Will the GenAI Bubble Burst?
Thanks for the example and that sounds really solid cost savings and definitely agree with the trend that it is here to stay.
For invoice parsing (various formats), are you just using GPT4V? When GPT4V initially came out, i benchmarked it against an out of the box invoice parser from Google Cloud (https://cloud.google.com/document-ai) on 16 documents and it was much better accuracy wise. For ex: i'd get results parsing 10,100 as 101100 (no comma).
Curious if you saw problems like this in your pipeline or if its gotten much better since?
-
Based on latest advancements in document transformers, what strategy would you use to parse utility bills?
Google Document AI: Google's generic document processor, found on the Google Cloud Platform, worked ok out of the box. However, it will require significant fine-tuning via manual data labeling for at least 15 to 20 documents before I have a decently accurate processor.
- How to upload hundreds of PDF's and analyze all of them with AI?
-
From pixels to information with Document AI
What's next? Well, it's already here, with Document AI, and keeps growing:
-
Automate identity document processing with Document AI
The source code for this demo is available in our Document AI sample repository.
awesome-document-understanding
-
[R] Are there any open-source implementations of Document Understanding pipelines?
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
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
Check out this repository for inspiration: https://github.com/tstanislawek/awesome-document-understanding
-
[P] Curated List of Document Understanding (DU) Papers & Resources.
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?
docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
pdfGPT - PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Calliar - A dataset for online Arabic calligraphy. A collection of 2500 annotated calligraphic styles.
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-ocr
awesome-document-understandi
awesome-huggingface - 🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.
tocPDF - Generates bookmarks from the table of contents already available at the beginning of pdf files.
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.
tabula - Tabula is a tool for liberating data tables trapped inside PDF files