A Repo For Document AI
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Updated
Nov 4, 2024 - Python
A Repo For Document AI
Document AI Toolbox is an SDK for Python that provides utility functions for managing, manipulating, and extracting information from the document response. It creates a "wrapped" document object from JSON files in Cloud Storage, local JSON files, or output directly from the Document AI API.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
[MM'2024] Official implementation of "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction."
Transcription project consisting of Python scripting and usage of ML text extraction models.
This Flask application Google Cloud Document AI to extract name, IPK (GPA), university details, etc.
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
An unofficial PyTorch implementation of "Lin et al. ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents. ICDAR, 2021"
[Paper] Code for the EMNLP2023 (Findings) paper "Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document"
Official Implementation of Web-based Visual Corpus Builder (Webvicob), ICDAR 2023
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images (AAAI2023)
Extracting Data from Document PDF and Converting to EDI211 Files Using GCP and Google Document AI
SamKenX applications and Document AI, the end-to-end document processing platform on Cloudstorage warehouse.
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
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