scansplitter 0.1.0

Automatically detect, split, and rotate multiple photos from scanned images

ScanSplitter

Automatically detect, split, and rotate multiple photos from scanned images.

Drop a scan containing multiple photos and get individual, correctly-oriented images back.

Quick Start

One-time setup - Install uv:

curl -LsSf https://astral.sh/uv/install.sh | sh

Run ScanSplitter (no clone needed):

uvx scansplitter api

Opens at http://localhost:8000 - drag & drop your scans and export cropped photos.

Features

• Auto-detection - Finds multiple photos in a single scan using contour detection
• Interactive editing - Adjust, rotate, and resize bounding boxes before cropping
• Auto-rotation - Detects and corrects 90°/180°/270° rotations
• PDF support - Extract and process pages from PDF files
• Web UI - Modern React interface with Fabric.js canvas editor
• CLI - Batch process files from the command line

Installation Options

Option 1: Run directly with uvx (recommended)

No installation needed - just run:

uvx scansplitter api

Option 2: Install with pipx

pipx install scansplitter
scansplitter api

Option 3: Install from source

git clone https://github.com/janklan/scansplitter
cd scansplitter
uv sync
uv run scansplitter api

Usage

Web Interface

scansplitter api
# or: uvx scansplitter api

Opens at http://localhost:8000 with:

• Drag & drop file upload (images and PDFs)
• Interactive bounding box editor (drag, resize, rotate)
• Multi-file support with tabs
• PDF page navigation
• ZIP export

Command Line

# Process a scanned image
uv run scansplitter process scan.jpg -o ./output/

# Process a PDF
uv run scansplitter process document.pdf -o ./output/

# Multiple files
uv run scansplitter process scan1.jpg scan2.png -o ./output/

# Options
uv run scansplitter process scan.jpg \
  --no-rotate \
  --min-area 5 \
  --max-area 70 \
  --format jpg \
  -o ./output/

CLI Options:

Option	Description
-o, --output	Output directory (default: ./output)
--no-rotate	Disable auto-rotation
--min-area	Minimum photo size as % of scan (default: 2)
--max-area	Maximum photo size as % of scan (default: 80)
--format	Output format: png or jpg (default: png)

How It Works

1. Preprocessing - Convert to grayscale, apply Gaussian blur
2. Thresholding - Adaptive binary threshold to separate photos from background
3. Contour Detection - Find distinct regions using OpenCV
4. Filtering - Keep regions between min/max area thresholds
5. Interactive Adjustment - User can modify detected boxes in the web UI
6. Rotation Detection - Score each 90° rotation using Hough line detection
7. Cropping - Extract photos using adjusted bounding boxes

Development

Frontend Development

# Start API server
uv run scansplitter api --reload

# In another terminal, start frontend dev server
cd frontend
npm install
npm run dev

Frontend runs on http://localhost:5173 with hot reload, proxying API requests to :8000.

Build Frontend

cd frontend
npm run build

Builds to src/scansplitter/static/, which FastAPI serves automatically.