graphvision-ai 0.1.7

Automatic Graph Classification and Data Extraction

GraphVision AI 📊👁️

GraphVision AI is a lightweight, powerful computer vision library for automatic graph classification and structured data extraction.

Built with PyTorch and EasyOCR, it is designed to look at an image of a chart, instantly recognize what kind of graph it is, and extract its labels and values into a clean, developer-friendly JSON format.

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✨ Key Features

🚀 Zero-Configuration

Models and weights are automatically downloaded from Hugging Face the first time you run it. No manual weight management required.

🧠 Intelligent Routing

Automatically classifies the input image (Pie, Vertical Bar, Horizontal Bar, Line, etc.) and routes it to the correct extraction algorithm.

🖼 Robust Input Handling

Pass a file path (String), an OpenCV image (NumPy array), or a PIL Image directly into the analyzer.

🔍 Smart OCR Masking

Uses contrast filtering and spatial mapping to accurately match text labels with their corresponding graphical data points.

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📦 Installation

Install directly from PyPI:

pip install graphvision-ai

🚀 Quick Start

Extracting data from a graph takes less than 5 lines of code:

from graphvision.analyzer import GraphAnalyzer
import json

# 1. Initialize the AI (Auto-downloads weights on first run)
analyzer = GraphAnalyzer()

# 2. Pass an image to the analyzer
image_path = "path/to/your/pie_chart.png"
result = analyzer.analyze(image_path)

# 3. View your structured data!
print(json.dumps(result, indent=4))

📄 Example Output

{
    "type": "pie",
    "title": "Favorite Programming Languages",
    "data": {
        "Python": 45.2,
        "JavaScript": 25.1,
        "C++": 15.4,
        "Java": 14.3
    }
}

📈 Supported Graph Types

Currently, GraphVision AI supports high-accuracy extraction for:

• pie — Pie Charts
• vbar_categorical — Vertical Bar Charts
• hbar_categorical — Horizontal Bar Charts

Line and Dot-Line charts coming soon.