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#

document-image-analysis

Here are 15 public repositories matching this topic...

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.

  • UpdatedNov 24, 2025
  • HTML
ExtractThinker

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

  • UpdatedAug 27, 2025
  • Python

[Late Submission] Solution for Kuzushiji recognition (Kaggle competition)

  • UpdatedJun 9, 2021
  • Python

Visual Domain Knowledge-based Multimodal Zoning Textual Region Localization in Noisy Historical Document Images

  • UpdatedJan 24, 2022
  • C++

SegClarity: An attribution-based XAI workflow for layer-wise interpretability in semantic segmentation

  • UpdatedNov 8, 2025
  • Jupyter Notebook

Extracting structured text from GI Bill index cards for JDoc 2023 paper

  • UpdatedMay 17, 2023
  • Jupyter Notebook

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

  • UpdatedMar 3, 2023
  • HTML

Analyze document image complexity based on segmentation results

  • UpdatedJan 26, 2022
  • Python

A simple FastAPI application that allows users to upload PDF or DOCX documents in a database, get a summary generated by a local LLM via Ollama, and ask natural language questions about their content.

  • UpdatedNov 29, 2025
  • Python

📦 Split buffers and streams into smaller chunks for smooth HTTP uploads and accurate progress tracking.

  • UpdatedNov 29, 2025
  • JavaScript

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