Image batch processing pipeline
Resize, convert, watermark or round a batch of images in your browser. Preview every result, find any failed files, and download images with a matching file list. Same-name files are kept separately.
Every image, accounted for.
Process your batch to preview each image, check its final name and size, and download a complete ZIP.
Matching filenames get a number. Originals stay untouched.
How to image batch pipeline
- 1Add your images, or try the numbered sample batch.
- 2Choose the maximum width, output format and optional editing steps.
- 3Select “Process images” and review each output name, size and any errors.
- 4Download the ready images as a ZIP with manifest.json, or download images individually. Retry only the failed images if needed.
Why use image cat's Image Batch Pipeline?
- Configure once, run the whole batch: uniform resize / watermark / compress across dozens of images, no per-image repetition.
- Local and private: the whole batch stays on your device.
- Lossless intermediates: middle steps use PNG and only the final step encodes to your target format/size, avoiding repeated lossy compression.
Frequently asked questions
No. The entire pipeline runs locally in your browser; images are never uploaded — good for processing large sets of private photos.
In a fixed order: resize → watermark → round → final encode/compress, with each step individually toggleable. This ensures the watermark sits on the resized image and compression happens last for the best quality-to-size tradeoff.
JPG has no alpha channel, so the rounded-away areas fill with black. To keep transparent rounded corners, set the final format to PNG or WebP.
There's no artificial count limit — your device's memory and time are the constraints; more and larger images take longer. For very large images, enable the “limit max width” step first.
Updated · image cat team
Sources, review and limits
Last verified
2026-06-17
Author
Image-Cat editorial team
Reviewer
Image-Cat tooling review
Primary sources
- Browser image decoding, Canvas and download APIs
- Common social, web and device image-size presets
- User-provided images processed locally
Compression and resizing can change quality, metadata and color. Keep originals and verify output before publishing or printing.