Find the images that do not fit the placements you need.

What does the batch image dimension and ratio auditor do?

Choose multiple images to inventory their dimensions, aspect ratios, file weights, and matches against your required square, portrait, or landscape targets. The immediate result is a batch image dimension and ratio report. That makes the tool useful when a focused question needs an answer before a file is handed off, a campaign is trafficked, or a production workflow begins.

The scope is intentionally narrow. It is designed for previewing or auditing one crop, placement, or set of image dimensions, not for replacing the complete production process. A useful result should make the next decision clearer while leaving the original file, design, or workflow under the user’s control.

Your files and inputs are processed locally in this browser and are not uploaded to Hypermatic. Local processing reduces unnecessary data exposure, but it does not remove the need to follow the privacy, confidentiality, and retention requirements that apply to the source material.

How should the batch image dimension and ratio auditor be used?

Start with the same input that will be used in production whenever possible. Draft content, substitute files, and approximate dimensions can be useful during exploration, but the final check should use the actual export, final copy, destination, or supported range.

Work through the steps in order and keep the generated result beside the source. If the result identifies a warning, decide whether it is a real production problem, an acceptable tradeoff, or a limitation of a browser-based inspection before changing the underlying work.

• Choose up to one hundred local images and list the acceptable target ratios.
• Decode each image locally and compare its natural ratio with the selected tolerance.
• Use the report to plan which files need cropping, replacement, or a different placement.

How should the result be interpreted?

A browser tool can make measurable signals visible, but it cannot reproduce every application, platform, rendering engine, policy, or team constraint. Treat the report as evidence for a decision rather than a universal guarantee. The strongest verification is the final crop at every target ratio, placement, resolution, and platform interface.

Pay particular attention to edge cases that are easy to miss during a quick check: unusual fonts, long or localized content, hidden metadata, external dependencies, different aspect ratios, browser-specific behavior, and last-minute source changes. Re-run the tool whenever the production input changes materially.

• Use a small tolerance for exact ad placements and a larger one for editorial photography.
• Dimension compliance does not guarantee a safe focal composition.
• Check both the ratio and the actual pixel count before production export.

Common questions about batch image dimension and ratio auditor

How is an aspect-ratio match calculated? The image width is divided by its height and compared with each target ratio using the selected percentage tolerance.

Does the auditor crop or modify the images? No. It only inventories and flags files locally, which makes it useful before a batch crop and resize workflow.

Is the batch image dimension and ratio auditor free? Yes. You can use it without an account or signup. The focused result is generated directly in your browser.

When does HyperCrop become the better workflow?

The free tool is the right choice for a quick individual check, calculation, preview, or template. It remains useful even if the task only occurs once and no broader production workflow is needed.

HyperCrop becomes more practical when the same job turns into batch-cropping, resizing, organizing, naming, and exporting complete image sets in Figma. At that point, keeping the work close to the Figma source reduces repeated exports, copy-and-paste steps, inconsistent decisions, and handoff drift.

Before adopting any workflow, compare the time spent on the recurring manual process with the setup and review required by the tool. The goal is not to add another application; it is to remove repetitive work while preserving the quality checks that still need human judgment.