Step-by-Step Instructions
- Upload Image: Click the upload area or drag and drop an image file
- Preview: Review your uploaded image in the preview section
- Start Splitting: Click "Start splitting" to divide the image into 9 pieces
- Download Individual Pieces: Click "Download" on each piece to save it
- Download All: Use "Download all" to save all 9 pieces at once
What is 3x3 Grid Splitting?
This tool divides any image into 9 equal rectangular pieces arranged in a 3x3 grid. Each piece is numbered from 1 to 9, making it easy to identify and download individual sections.
Supported Image Formats
- JPEG (.jpg, .jpeg)
- PNG (.png)
- GIF (.gif)
- BMP (.bmp)
- WebP (.webp)
Grid Layout
3x3 Grid Structure:
- Row 1: Pieces 1, 2, 3 (top row)
- Row 2: Pieces 4, 5, 6 (middle row)
- Row 3: Pieces 7, 8, 9 (bottom row)
Common Use Cases
Social Media:
- Create Instagram 3x3 grid posts
- Split large images for Twitter threads
- Create Facebook photo collages
Art & Design:
- Create puzzle pieces from images
- Split artwork for printing on multiple pages
- Create mosaic-style displays
Education:
- Create learning materials with image sections
- Split diagrams for step-by-step explanations
- Create interactive image puzzles
Download Options
Individual Download:
- Click "Download" on any piece to save it
- Files are named: grid_1.png, grid_2.png, etc.
- Perfect for selective use
Download All:
- Downloads all 9 pieces at once
- Files are automatically numbered
- Convenient for complete sets
Image Quality & Sizing
- Each piece maintains the original image quality
- Pieces are sized proportionally (1/3 width × 1/3 height)
- Output format is PNG for best quality
- No compression or quality loss during splitting
Tips for Best Results
- Use square images for perfect 3x3 grids
- High-resolution images work best
- Consider the final layout when choosing images
- Test with different image orientations
- Save original images before splitting
Browser Requirements
- Modern web browser with HTML5 Canvas support
- JavaScript enabled
- Sufficient memory for image processing
Important Notes
- All processing is done locally in your browser
- No images are uploaded to external servers
- Large images may take longer to process
- Each piece is a separate downloadable file
- Original image aspect ratio is preserved