The official CLI for Agentic Document Extraction (ADE) by LandingAI — parse documents and extract schema-shaped data from your terminal
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Updated
Aug 19, 2026 - Python
The official CLI for Agentic Document Extraction (ADE) by LandingAI — parse documents and extract schema-shaped data from your terminal
Open-source toolkit for reliable RAG pipelines: convert PDFs to Markdown, clean documents, inspect chunks, compare chunking strategies, and enrich metadata for LLM applications.
Document AI. Extract structured data like JSON, Markdown and HTML from documents using LLMs and AI agents.
A lightweight MCP (Model Context Protocol) server for integrating ComPDF AI with Claude Desktop, enabling AI-powered intelligent document processing and data extraction from PDFs via natural language.
Effortlessly extract information from unstructured data with this library, utilizing advanced AI techniques. Compose AI in customizable pipelines and diverse sources for your projects.
数字图像课程大作业,实现图片中文档提取与矫正。整体思路是通过hough变换检测出直线,进而得到角点,最后经过投影变换,进行矫正。整个项目只用到了opencv的IO操作(包括手写卷积,hough哈夫变换,投影变换等等)
Ingestors extract the contents of mixed unstructured documents into structured (followthemoney) data.
Turn any website into clean, LLM-ready data. Open-source web crawler with stealth mode, distributed crawling, real-time WebSocket progress & Markdown output. Power your AI apps with GcrawlAI.
Generative AI document analysis on Amazon Bedrock AgentCore: a Strands agent routes pages through 27 vision specialists via an MCP Gateway, then correlates results into a structured, accessibility-oriented document tree. Eight-model registry (Anthropic, Amazon, OpenAI), specialist wizard, scripted CDK deployment, React UI on ECS with Cognito.
Tool to allow extraction of data from legal documents
OCR document processor for healthcare — extracts patient URNs from scanned clinical PDFs
Extract structured data from semi-structured documents using any OpenAI-compatible LLM, with per-field grounding and confidence.
Arabic-first Document Intelligence API platform for OCR, Arabic handwriting recognition, document extraction, validation, search, chat with documents, and structured JSON output.
Ingestors extract the contents of mixed unstructured documents into structured (followthemoney) data.
Public benchmark for document data extraction - hand-verified labels, schemas, a standalone scorer, and per-document results across 72 hard public documents.
Auditable page-level run ledger for OCR and document extraction
Reliable document extraction for AI agents => file + schema in, schema-valid JSON out (or a precise error). REST API + MCP, runs free & local
AI-платформа распознавания юридических и исполнительных документов РФ: контрольные суммы ИНН/СНИЛС/ОГРН/БИК, сверка сумм, лимиты 229-ФЗ, 9 типов документов, экспорт в 1С/Excel. Плагинная архитектура, работа на локальной VLM в закрытом контуре.
AI-powered Reinsurance Contracts & Parties management
Lightweight OCR + Local LLM → Schema-based Structured JSON Extraction
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