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Batch Crop Images is a free online tool that crops the same area from multiple images at once and returns every image cut to the same size in a single ZIP file. You draw the crop box once on the first image, press Apply to all, and every picture in the set is trimmed at exactly the same coordinates. It is built for the moment when cropping one by one stops being reasonable: 50 screenshots of a dashboard where only the chart matters, 300 product photos shot on the same table that all need the same margin removed, 1,000 frames exported from a screen recording, or a folder of scanned forms where one box holds the data you want. The crop can be set by dragging the handles or by typing exact X, Y, width and height in pixels, and it can be locked to a ratio such as 1:1, 4:5 or 16:9. Clicking any thumbnail shows the same box on that image, so you can check that the region still lands correctly before you bulk crop the whole folder. When images have different sizes, you choose between two behaviours. Same pixels keeps the box at identical coordinates, so every output has the same dimensions, which is right for screenshots from one screen. Same position scales the box with each image, which suits photos from different cameras. Output can stay in the original format or be converted to PNG, JPG or WebP, and original file names are kept. Everything runs in the browser with the Canvas API, so screenshots of private accounts, customer records or unreleased designs never leave your device. For a single picture use Image Cropper; to shrink the results afterwards use Image Compressor or Image Resizer.
Cropping the same region from a large set of images sounds trivial until you face it. A desktop editor crops one file in seconds, but repeating that 400 times means 400 chances to be a few pixels off, and the results no longer line up side by side in a report, a slideshow or a training dataset. Batch cropping removes both the repetition and the drift, because the box is defined once and applied numerically to every file. Creators cut the chat panel, webcam frame or game HUD out of hundreds of screenshots. Online sellers remove the studio edge or tripod shadow from product photos shot on a fixed setup, so a whole catalogue gets identical framing. Researchers and analysts extract the same chart, map region or table from screenshots taken over days or weeks, which makes changes easy to compare. Administrative staff pull the signature box or stamp area from a stack of scanned forms. Speed is rarely the bottleneck: in a test run in Chrome on a Windows PC, 1,000 full HD PNG screenshots (1920 by 1080 pixels) were cropped to 640 by 360 and zipped in about 70 seconds, and the page used under 50 MB of JavaScript memory, because each image is decoded, cropped and encoded before the next one starts. Other ways to batch crop images exist, and each fits a different situation. Photoshop can record a crop as an action and run it through File, Automate, Batch, which works well but needs a paid licence. IrfanView on Windows has a Batch Conversion dialog with a crop option under Advanced settings. ImageMagick does it from the command line with magick mogrify -crop 640x360+400+300 +repage *.png, where the numbers are width, height, X offset and Y offset; mogrify overwrites the originals, so run it on a copy. This page covers the common case, one fixed area for a whole folder, without installing anything and with a visual preview of the box on every image. When the output needs a fixed pixel size for a platform, follow up with Image Resizer, and use Image Format Converter if a later step expects a specific format.