A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
Read and extract text and other content from PDFs in C# (port of PDFBox)
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
A curated list of resources for Document Understanding (DU) topic
Open-source platform for extracting structured data from documents using AI.
This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
AssemblyLine 4: File triage and malware analysis
A package for parsing PDFs and analyzing their content using LLMs.
Pandora is an analysis framework to discover if a file is suspicious and conveniently show the results
Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser
RObust document image BINarization
Local adaptive image binarization
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.
Document Visual Question Answering
YOLO models trained by DocLayNet - power your Document Intelligent by Layout Analysis
Post-process Amazon Textract results with Hugging Face transformer models for document understanding
An on-premises, OCR-free unstructured data extraction tool powered by vision language models.
(ICFHR 2020 oral) Code for "docExtractor: An off-the-shelf historical document element extraction" paper
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