
Step 1
Upload
Drop in your collage image from desktop or mobile. The AI analyzes the layout, detects borders, and prepares separate cutouts for each picture.
Split any collage into individual photos with אפליקציה להפרדת קולאז. Fast AI detection, clean exports, and easy editing—upload your collage and download now.
Run the app to see your first output
How to use אפליקציה להפרדת קולאז
Turn one collage into multiple standalone photos in minutes. Follow these steps to upload, refine the AI cuts, and export each extracted image in high quality.

Step 1
Drop in your collage image from desktop or mobile. The AI analyzes the layout, detects borders, and prepares separate cutouts for each picture.

Step 2
Review the detected slices and fine-tune crop lines if needed. Remove unwanted margins, fix overlaps, and ensure each photo is extracted cleanly.

Step 3
Export the separated images individually or as a batch. Download high-resolution files ready for editing, sharing, product listings, or archiving.
Features
Automatically split collages into individual images with reliable AI border detection. Get clean crops, consistent spacing, and fast processing for single or multi-photo layouts. Export high-quality results for reuse across design, eCommerce, and social media workflows—without tedious manual slicing.

AI identifies edges, spacing, and frames to separate each photo accurately. Works with grids, mixed sizes, and scanned collages, minimizing manual corrections and missed slices.

Generate multiple images from one collage and export them quickly. Download each file separately or in a batch to streamline catalog, posting, or editing workflows.

Get crisp crops with reduced extra padding and better alignment. Fine-tune cut lines before exporting so each extracted image is ready for further edits and reuse.
About
אפליקציה להפרדת קולאז uses AI to separate a collage into individual images automatically. Upload one file, detect borders, and extract each photo as a clean, downloadable image. Save time on manual cropping with fast, accurate separation for social posts, product grids, and scanned collages.
אפליקציה להפרדת קולאז focuses on fast, accurate separation with minimal manual work. AI-driven detection handles common collage formats, while simple controls help you refine crops for clean exports. Get consistent, reusable images for editing, sharing, and organizing.
Start by uploading a collage image. Review the AI-separated slices, adjust any boundaries, then export each photo individually or as a batch for immediate use.
Use cases
Discover how different creators use this app in their workflow.
Split collage posts into individual photos for reels, stories, and carousels. Save time and keep consistent framing across platforms.
Extract each product image from a grid collage for listings and ads. Export clean files for faster catalog updates and A/B testing.
Turn scanned prints into separate photos for archiving and restoration. Quickly isolate each image before retouching or organizing albums.
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Common questions about AI collage splitting, exports, and how to get the cleanest separated images.
The tool uses AI image analysis to detect borders, gaps, and frames within a collage. It then generates separate crops for each detected region, which you can adjust before exporting.
Yes. After detection, you can refine crop boundaries to fix overlaps, remove margins, or correct missed edges. This helps ensure each extracted photo exports cleanly and accurately.
Clear grids and visible spacing are easiest, but mixed-size layouts often work well too. For best results, use high-resolution collages with strong contrast between images and borders.
Yes. You can export individual images one by one or download multiple extracted photos in a batch. This is ideal for product sets, album splits, and content repurposing.
It’s an online AI tool—no installation required. Upload your collage, review the separated images, and download the results directly in your browser on desktop or mobile.
Upload a collage, let AI separate each photo, and download clean files in seconds.