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。
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
A system for agentic LLM-powered data processing and ETL
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)
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
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
AssemblyLine 4: File triage and malware analysis
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
Pandora is an analysis framework to discover if a file is suspicious and conveniently show the results
A package for parsing PDFs and analyzing their content using LLMs.
RObust document image BINarization
YOLO models trained by DocLayNet - power your Document Intelligent by Layout Analysis
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
Post-process Amazon Textract results with Hugging Face transformer models for document understanding
(ICFHR 2020 oral) Code for "docExtractor: An off-the-shelf historical document element extraction" paper
Effortlessly extract information from unstructured data with this library, utilizing advanced AI techniques. Compose AI in customizable pipelines and diverse sources for your projects.
UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)
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"
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
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