Multi-Crop — Instagram, YouTube & TikTok Batch Image Cropper
Upload one image and instantly generate cropped versions for 9:16 (Shorts/Reels), 1:1 (Instagram Grid), and 16:9 (YouTube Thumbnail). Visual canvas preview, download all formats as ZIP or individual files.
Data Privacy
100% Client-Side. Your data never leaves your device. No server transfers. Zero AI training data retention.
Frequently Asked Questions
How does multi-crop work?
Upload a single high-resolution image. The tool displays three real-time crop preview boxes (9:16 for Shorts, 1:1 for Instagram, 16:9 for YouTube). Adjust the crop frame on the canvas, then export all three formats at once as a ZIP or as individual files.
Can I export all formats at once?
Yes. Download a single ZIP containing all cropped versions with auto-generated filenames, or export individual files one-by-one. All processing happens in your browser — no upload required.
What This Tool Does
This tool creates multiple aspect ratio crops (9:16, 1:1, 16:9) from one image using Canvas API. Supports drag-to-reposition, smart preview overlay, and batch ZIP download.
Technical Specifications
- ✓Instagram Feed (1:1), Stories (9:16), Reels (9:16) specifications
- ✓YouTube Thumbnail standard (16:9, minimum 640×360)
- ✓TikTok video format (9:16, 1080×1920)
- ✓Canvas API 2D context transformation and rendering
- ✓ZIP.js compression for batch download
Performance Comparison
| Processing Method | Traditional Server-Side | Our 100% Client-Side |
|---|---|---|
| Data Privacy | Upload to server | 100% Local |
| Processing Speed | Network latency | Instant |
| Server Costs | Per-request billing | Free forever |
Common Questions
How does this work?
This tool processes your files entirely in your web browser using the Canvas and FileReader APIs. No data is sent to any server.
Is my data secure?
Yes. All processing happens locally on your device. We never upload, store, or analyze your files on any server.
Can I use this offline?
Yes, once the page loads, the tool works completely offline. No internet connection needed after initial page load.