document-parser
There are 58 repositories under document-parser topic.
docling
Get your documents ready for gen AI
unstructured
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
AutoRAG
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
llama_cloud_services
Knowledge Agents and Management in the Cloud
so-novel
小说下载|网文下载 | 网络小说
open-parse
Improved file parsing for LLM’s
deepdoctection
A Repo For Document AI
layra
LAYRA—an enterprise-ready, out-of-the-box solution—unlocks next-generation intelligent systems powered by visual RAG and limitless visual multi-step agent workflow orchestration.
docstrange
Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.
vision-parse
Parse PDFs into markdown using Vision LLMs
document-parsers-list
A comprehensive list of document parsers, covering PDF-to-text conversion and layout extraction. Each tested for support of tables, equations, handwriting, two-column layouts, and multi-column layouts.
marie-ai
Complex data extraction and orchestration framework designed for processing unstructured documents. It integrates AI-powered document pipelines (GenAI, LLM, VLLM) into your applications, supporting various tasks such as document cleanup, optical character recognition (OCR), classification, splitting, named entity recognition, and form processing
papercast
A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.
opencv-text-deskew
Tutorial on how to deskew (straighten) text images
bella-domify
文档解析(Document Parser),支持 PDF、TXT、DOC、DOCX、Markdown 等文件格式,高效提取与解析内容,生成标准文档树结构。内置 PDF Parser、Text Parser、Word Parser,助力 RAG、知识库、全文检索等智能应用。
Invoiceable
The invoice, document, and resume parser powered by AI.
graphlit
Graphlit Platform
semantic-ai
An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).
smart-docs-parser
An OCR based document parser to extract information from identity document images
Resume_Parsing
Resume Parsing app to extract information using AI
docling4j
Docling4j brings the functionalities of Docling in document understanding to Java® projects
novalad
Novalad offers a unified, centralized platform enabling organizations to extract meaningful data and perform advanced processing at high speed.
graphlit-client-python
Python client library for Graphlit Platform
df-extract
DF Extract Lib
clearedge
Build a RAG preprocessing pipeline
docparser
Extract text from your DOCX documents.
opendataloader-pdf
Safe, Open, High-Performance — OpenDataLoader PDF for AI
docviz
Advanced document contents extraction with multiple output formats
DrParser
Dr.Parser 🩸📊 – AI-powered blood report parser that extracts and analyzes medical data from images/PDFs. Built with React, FastAPI, EasyOCR, and Gemini AI. 🚀 🔹 Local Setup Available | 🔹 Future Enhancements Planned | 🔹 Hackathon Project 👉 Clone, run, and explore the future of AI-driven healthcare!
docparser
🧰 Tools to Upload/Parse Documents to 'docparser' and Retrieve Extracted Results
AI-Powered-Resume-Evaluator
An AI-powered resume evaluation app that compares a candidate’s resume with a job description using Google’s Gemini 1.5 Flash model to provide HR-style feedback and an ATS-style match scoring through a simple and interactive Streamlit interface.
docpa
A simple library that I use for web scraping. Uses htmlparser2 to parse dom.
local-RAG-backend
This is the backend for a RAG system that runs on Docker Compose. It registers documents in a wide range of file formats, which can be searched using the MCP server.
LeapRAG
LeapRAG is an open-source platform that integrates advanced RAG technology with Google’s A2A protocol, enabling users to build context-aware, data-driven agents. These agents are automatically A2A-compliant and can be discovered and used by any compatible client without extra development.
Document_Parser_using_AI
Parse documents using AI - any document converted to markdown suitable for RAG applications
techStandards
Download and parse technical standard documents