Resize: change the size of your images
Changes the actual pixel size of every image in your batch — smaller (most common) or scale by percentage. Sharp output via Lanczos resampling.
Resize changes the actual pixel dimensions of every image in your batch. Make a 5000-pixel image into a 2000-pixel image, or scale everything down to 50% — your choice.
Resize uses Lanczos resampling, which is a fancy way of saying "the image stays sharp when it gets smaller." You won't see the blocky, pixelated look you get from cheaper resize tools.
Why this step matters
A few reasons you'd add Resize to a pipeline:
- Source images are too big. If your AI generator, scanner, or download produces 8000-pixel files but your end use only needs 3000, resizing first makes the rest of your pipeline run much faster.
- You need exact dimensions for an upload spec (less common — usually Reposition is better for hitting an exact spec because it sets the canvas size around your subject).
- You want to scale a whole batch by the same percentage — like making everything 75% of its original size.
How to use it
- Add Resize to your pipeline.
- Choose how to specify the new size:
- Width and Height in pixels — type the exact numbers
- Scale percentage — type a number like 50 (for 50% of original)
- Pick a Lock mode to control what happens to the aspect ratio (see below).
The settings
How Lock mode actually works
This is the setting people get wrong most often:
- None — your width and height are used exactly. If your original image is square but you set 1000 × 500, the image gets squished to half-height. Use this only when you specifically want to stretch.
- Width — your width number is used. The height is calculated automatically so the image keeps its original shape. Most common pick.
- Height — same as Width but the height is the fixed value.
- Both — keeps the original aspect ratio, fits the image into the width × height box you specified.
The safe default for most jobs: Lock = Both, then enter the largest dimension you want. ReadyPixl figures out the other one and keeps the image from squishing.
Common sizes people use
For print-on-demand specs (Amazon Merch, Printful, Redbubble), use Reposition instead of Resize — Reposition sets the canvas size around your subject, which is what these sites actually want.
Tips
- Resize early in your pipeline if you're making images smaller. The slower tools (Color Removal, Filters) will then run on the smaller images, which is much faster.
- Resize late in your pipeline if you're making images bigger. Most tools work better at higher resolution.
- Use the Skip settings to your advantage. If your batch has a mix of small and huge images, Skip-if-larger means the huge ones get downsized but small ones are left alone.
- For making images bigger, the AI Upscale tool (10 credits per image — about 1¢ each, sign-in required) handles this much better than regular Resize. Resize will just stretch the existing pixels — fine for small upscaling, blurry for big jumps.
Things Resize doesn't do
- It doesn't add a canvas around your subject. It just changes the image size. For "put my image on a 4500×5400 canvas," use Reposition.
- It doesn't crop. If you want to cut your image down to a specific shape, that's a different tool. Resize keeps everything in the image.
- It doesn't make small images look like high-resolution images. Stretching a 500-pixel image to 5000 pixels gives you a blurry 5000-pixel image. Use AI Upscale for that.
What to read next
- AI Upscale — paid AI tool for making images bigger without going blurry
- Reposition — for placing your image on a target canvas size (often what you actually want instead of Resize)
- Performance tips — when batches feel slow, resizing earlier in the pipeline helps