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Open-source platform for extracting structured data from documents using AI.
Open-source spreadsheets platform for deep research and document processing
Intelligent document processing. Extract structured data like JSON, Markdown and HTML from documents using AI.
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.
Convert and validate your Markdown, then choose the best chunking strategy for your RAG pipeline.
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.
Tool to allow extraction of data from legal documents
Guidance on deploying a generative AI document analysis with Amazon Bedrock AgentCore. Auto-classifies, enhances, and aggregates multi-type documents using Gestalt-informed vision prompts. Custom analyzer creation wizard. Scripted CDK deployment. Gradio frontend included.
Ingestors extract the contents of mixed unstructured documents into structured (followthemoney) data.
AIVisionText is an advanced document analysis platform that harnesses the power of artificial intelligence (AI) to revolutionize the way you manage and extract insights from documents.
This sample demonstrates how to use GPT-4o with Vision to extract structured JSON data from PDF documents and evaluate them with Azure AI Studio and Prompt Flow
Python-based Durable Functions accelerator for building intelligent document processing pipelines with Azure AI Services on Azure Container Apps
Regulatory Intelligence Assistant using AI (Bedrock + LegalBERT) to analyze global regulations and assess impact on S&P 500 portfolios.
Async document intelligence API — upload any PDF/DOCX/image + a JSON Schema, get back structured JSON with per-field confidence scores. Go, PostgreSQL, GPT
.NET sample project for building a scalable document data extraction pipeline with containerized Durable Functions and Azure AI Services on Azure Container Apps.
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