QuickCapture Mobile Scanning SDK Specially designed for native ANDROID from Extrieve
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Updated
Jul 4, 2024 - Kotlin
QuickCapture Mobile Scanning SDK Specially designed for native ANDROID from Extrieve
LAISA (Local AI Search Application) is a desktop app which allows you to run completely local, private, and free LLM inference. LAISA supports basic RAG with pre-configured OpenSearch Databases, and local document parsing with PDFs.
QuickCapture Mobile Scanning SDK Specially designed for native IOS
A hands-on CLI tool sample showcasing the integration of Dart with Google Cloud's DocumentAI.
This project tackles a real-world challenge of automating client document processing, with a focus on enhancing document classification, error detection, data extraction, and validation.
(WIP) ✨ A comprehensive resource for understanding the world of software used in the Document Understanding field. 🧙✨
This small module connects Label Studio with Fonduer by creating a fonduer labeling function for gold labels from a label studio export. Documentation: https://irgroup.github.io/labelstudio-to-fonduer/
Run optical character recognition with PyTesseract from the FiftyOne App!
Datasets and Evaluation Scripts for CompHRDoc
Implementation of the paper: Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer.
Official release of RFUND introduced in the paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction" (arXiv:2401.03472).
TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning
Checkbox Detection Model for Scanned Documents
Object Detection Model for Scanned Documents
A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.
ReadingBank: A Benchmark Dataset for Reading Order Detection
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.
Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
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