Calliar
document-ai-samples
| Calliar | document-ai-samples | |
|---|---|---|
| 1 | 5 | |
| 138 | 188 | |
| 2.2% | 4.3% | |
| 2.2 | 8.9 | |
| about 1 year ago | 4 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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Calliar
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[R] Calliar: An Online Handwritten Dataset for Arabic Calligraphy
Dataset (JSON) and visualizations in their github repo: https://github.com/ARBML/Calliar
document-ai-samples
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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?
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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?
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From pixels to information with Document AI
What's next? Well, it's already here, with Document AI, and keeps growing:
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Automate identity document processing with Document AI
The source code for this demo is available in our Document AI sample repository.
What are some alternatives?
postcss-rtl - PostCSS plugin for RTL-adaptivity
docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019
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!
ocrpy - OCR, Archive, Index and Search: Implementation agnostic OCR framework.
deep-text-recognition-benchmark - PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)