Batch Image Grid Splitter

Batch split images into 3x3 grids, 4x4 grids, custom grids, or long image strips, with support for multithreaded acceleration, number overlays, and uniform size output.

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Tool Usage

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A desktop version is available with more powerful, stable features. Open desktop version

Instructions

Software Instructions

Select input images: Click "Browse Files" to select one or more images, or click "Browse Folder" to select an entire directory. You can also drag files/folders directly into the window. Check "Include subdirectories" to search for images at all levels.
Set the save directory: Enter, browse for, or drag in the location where the sliced results will be saved. After enabling "Preserve original path structure," the output will replicate the source folder hierarchy, and numbers will be automatically appended to files with the same name to avoid overwriting.
Select a slicing mode:
- Grid slicing: Split the image into a row × column grid. You can choose presets such as 3×3 or 4×4 with one click, or customize the number of rows and columns.
- Long image strip slicing: Split a long image into continuous strips by fixed height (horizontal strips) or fixed width (vertical strips), ideal for long graphic posts and webtoons.
Configure the slicing method:
- Smart crop: Crops excess pixels from the edges so each piece is exactly the same size. Recommended for 9-grid images.
- Direct slicing: Slices proportionally without losing pixels; edge pieces may differ by 1 pixel.
- Crop to square first: Crops the image into a square before slicing, with an option to choose which side of the image to keep.
- Overlap pixels: Expands adjacent slices outward by the specified number of pixels to create overlap.
Set the output style: You can enable a uniform output size and choose platform presets such as 1080×1080 or 1080×1440, set spacing gaps between slices, add colored borders, and overlay a posting number in the corner of each slice.
Select an acceleration engine: Multithreading starts quickly, while multiprocessing is suitable for CPU-intensive large batch tasks. The recommended parallel count is close to the number of CPU cores.
Start processing: Click the "Start" button, and the tool will automatically scan and slice all images. You can click "Stop" at any time during processing to interrupt it.
View results: During processing, you can view the grid effect and estimated output count in the preview area. After completion, you can open the output directory with one click to view all slices.

FAQ

A: Smart crop crops excess pixels from the edges so every slice is exactly the same size, making it ideal for a neat 9-grid effect. Direct slicing divides the image proportionally without discarding pixels, but edge slices may differ by 1 pixel. Choose smart crop when you need strictly equal sizes, and choose direct slicing when you need to preserve the entire image.

A: Long image strip slicing is suitable for long graphic posts, webtoons, long screenshots, and similar content. You can choose horizontal strips (sliced by fixed height) or vertical strips (sliced by fixed width) to split an extra-long image into multiple continuous strip images, making segmented uploading or layout easier. Simply set the strip size and direction to batch-slice the images.

A: No. All slicing is done on your local device, and images are not uploaded to any server, so you can safely process materials involving privacy. Processing speed is also not affected by the network.

A: Multithreading starts quickly and uses fewer resources, making it suitable for everyday small to medium slicing tasks; multiprocessing can bypass computation limits and offers a speed advantage for CPU-intensive, very large batch tasks. It is recommended to set the parallel count close to the number of CPU cores on your computer.

A: Common image formats such as JPG, PNG, BMP, GIF, WEBP, and TIFF are supported. You can enable "Uniform output size" to scale each slice to fixed pixels, with three scaling modes: crop to cover, proportional padding, and stretch. Built-in size presets for platforms such as Instagram, Xiaohongshu, and Douyin are also provided, making it convenient to use directly for social media publishing.

A: You can switch to multiprocessing acceleration and set the parallel count close to the number of CPU cores; at the same time, check "Skip processed images" so that when the target slices already exist, the original image will be skipped automatically, making it easy to resume slicing. You can also use minimum width and height, maximum file size, and include/exclude keywords to filter the images to be processed and reduce unnecessary slicing.