Key takeaways
- Uniformity is the whole point of a set — A class's forty ID photos must all be the same size or the print sheet rebels.
- How to batch resize images — step by step — 1.
- The shape trap: one size, many shapes — Dimensions are a shape as well as a size, and a mixed set holds many shapes.
- Frequently asked questions — Short answers, straight.
- Can I batch resize to a percentage instead of exact pixels? — Percentage resizing suits sets whose members differ in size but share a destination — 'everything at half size for the website'.
- What happens to a photo smaller than the target size? — It must be enlarged to comply, and enlargement stretches the pixels it has — the result is softer than its bigger siblings in the set.
- Batch Resize, then what? My set also has a KB limit — Then the trip continues in its standard order: shape and size first (this tool), weight second — Batch Compress the resized set to the KB target, so the bundle arrives uniform in dimensions and under the limit together.
Class photos, product sets, document bundles — every image the same dimensions, without opening them one by one. Plus the shape trap batches must dodge.
Uniformity is the whole point of a set
A class's forty ID photos must all be the same size or the print sheet rebels. A shop's product images must match or the catalogue looks drunk. A portal wants a bundle of documents at stated dimensions. Resizing them one by one is an afternoon of identical clicks; Batch Resize states the dimensions once and applies them to the whole set in a single run.
How to batch resize images — step by step
1. Sort the set by shape before anything else (next section — this is the step batches live or die on): portraits together, landscapes together, squares together. 2. Open Batch Resize and add one shape-family of images. 3. State the exact target dimensions once — the form's figures, the sheet's cells, the catalogue's box. 4. Run, download, and sample: the first, the middle, and the one whose original shape was furthest from the target. Then repeat per shape-family if the set had several.
The shape trap: one size, many shapes
Dimensions are a shape as well as a size, and a mixed set holds many shapes. Forcing every original — tall, wide, square — into one box asks the same question forty times: crop the difference, or stretch the picture? Stretching faces is the spoon-reflection crime from the Resize guide, committed at scale. The honest batch workflow sorts by shape first, so each family meets a target shaped like itself; where a set truly must share one box (ID photos on one sheet), crop each family to the box's ratio as part of the run's preparation. Uniform size is the goal; uniform shape is its price, paid deliberately, family by family.
Frequently asked questions
Short answers, straight.
Can I batch resize to a percentage instead of exact pixels?
Percentage resizing suits sets whose members differ in size but share a destination — 'everything at half size for the website'. Exact pixels suit sets that must match each other. Choose by the destination's demand: matching is a pixels job; lightening is a percentage job.
What happens to a photo smaller than the target size?
It must be enlarged to comply, and enlargement stretches the pixels it has — the result is softer than its bigger siblings in the set. Where the small one's softness matters (a face on an ID sheet), replace the source with a bigger original rather than letting the batch promote a thumbnail.
Batch Resize, then what? My set also has a KB limit
Then the trip continues in its standard order: shape and size first (this tool), weight second — Batch Compress the resized set to the KB target, so the bundle arrives uniform in dimensions and under the limit together. Sample the first and largest after each stage.
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