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Intelligent Extraction Frameworks · Awesome GitHub Repositories

4 repos

Awesome GitHub RepositoriesIntelligent Extraction Frameworks

Systems utilizing machine learning and spatial analysis to interpret document structure and extract data from complex layouts.

Explore 4 awesome GitHub repositories matching content management & publishing · Intelligent Extraction Frameworks. Refine with filters or upvote what's useful.

  1. Home
  2. Content Management & Publishing
  3. Content Processing and Transformation
  4. Document Processing and Conversion
  5. Document Processing Tools
  6. Intelligent Extraction Frameworks

Awesome Intelligent Extraction Frameworks GitHub Repositories

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  • microsoft/markitdown

    microsoft/markitdown

    87,305GitHubView on GitHub↗

    This project is an AI-powered document processing engine designed to transform diverse file formats into structured Markdown. By leveraging multimodal language models, it performs complex layout analysis and semantic text extraction, allowing for the conversion of both unstructured files and scanned images into machine

    Pythonautogenautogen-extensionlangchain
  • Stirling-Tools/Stirling-PDF

    Stirling-Tools/Stirling-PDF

    74,357GitHubView on GitHub↗

    Stirling-PDF is a self-hosted document processing suite designed for secure, private file management. It functions as a comprehensive transformation engine that executes complex operations—such as merging, splitting, converting, and redacting documents—directly on the host machine. The platform provides both a browser-

    TypeScriptdockerhacktoberfestjava
  • infiniflow/ragflow

    infiniflow/ragflow

    73,425GitHubView on GitHub↗

    This project is a comprehensive retrieval-augmented generation platform designed for building, managing, and deploying knowledge-based AI applications. It provides a unified environment for organizing datasets, configuring conversational chat assistants, and developing autonomous agents that execute multi-step reasonin

    Pythonagentagenticagentic-ai
  • tesseract-ocr/tesseract

    tesseract-ocr/tesseract

    72,460GitHubView on GitHub↗

    Tesseract is a neural network-based optical character recognition engine designed to convert scanned images and digital documents into machine-readable, searchable text. It functions as both a command-line utility for automating large-scale digitization workflows and a cross-platform library that can be embedded into d

    C++hacktoberfestlstmmachine-learning

Explore sub-tags

  • AI-Powered Extraction EnginesProcessing layers that utilize machine learning to extract structured data, tables, and text from complex documents.
  • Document Layout Analysis ToolsComputational frameworks that identify page structure, column orientation, and table regions within documents.
  • Multilingual Text RecognitionRecognition engines configured to identify and process text across multiple languages.
Optical Character Recognition Engines1 sub-tagSoftware engines that convert scanned images and non-searchable documents into accessible, machine-readable text.
  • Post-Processing ConstraintsMechanisms that integrate linguistic constraints and dictionary lookups to refine raw text recognition output.
  • Text Orientation DetectionTools that detect and correct document text orientation using script detection models.