readgrid 0.1.2

A document layout pipeline for detecting tables, images, and structured extraction.

readgrid

readgrid is a Python package for document layout analysis and content extraction.
It lets you upload scanned documents, automatically detect tables and images, manually adjust bounding boxes, and extract clean structured output using LLMs.

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✨ Features

• Stage 1 – Upload & Detect

  • Upload document images.
  • Automatically detect tables (red boxes) and images (green boxes).
  • Manually edit bounding boxes with an interactive editor.

• Stage 2 – Coordinate Testing

  • Verify detected regions with side-by-side previews.
  • Test either existing detections or custom coordinates.

• Stage 3 – Content Extraction

  • Extract structured JSON output (header, text, footer).
  • Replace detected tables with clean HTML <table> tags.
  • Insert [image] placeholders with captions in reading order.
  • Supports LaTeX formatting for equations.

• Utility Functions

  • pretty_print_page_with_image() – inspect extracted results with annotated images.
  • show_comparison_view() – compare annotated vs. reconstructed content.
  • cleanup_pipeline() – reset all artifacts.

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🚀 Installation

pip install readgrid

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🛠️ Usage

Stage 1: Upload, Detect, and Edit

from readgrid import stage_1

stage_1()

Stage 2: Test Coordinates

from readgrid import stage_2

stage_2(
    row_id="ID_1",
    box_type="tables",
    box_index=0
)

Stage 3: Extract with Gemini

from readgrid import stage_3

stage_3(api_key="YOUR_API_KEY")

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📦 Requirements

• Python 3.8+
• OpenCV
• NumPy
• Pillow
• google-generativeai

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📄 License

MIT License. See LICENSE for details.