Batch Resize

Batch Resize is an image-resizing app for iOS and macOS, best suited to people who want to change dimensions across a large group of images. Its batch capacity and five resizing modes make it practical for repeat jobs, while the device-dependent output ceiling and advertising may make other options a better fit.

Overview

Batch Resize focuses on resizing multiple images to a chosen pixel size. It is a focused utility rather than a broad image-editing app: the appeal is handling a group of images in one pass, with several ways to define the result.

Key features

Five modes cover common resizing needs: fixed width, fixed height, maximum pixel, aspect fill and aspect fit. This gives users a choice between setting a dimension directly and fitting images to a target, without suggesting a wider set of editing tools.

The app can resize up to 500 images at once, a generous batch for people working through large photo sets. Output is capped at 4,000 × 4,000 pixels on 32-bit devices and 8,000 × 8,000 pixels on 64-bit devices, so users handling high-resolution images should check that their device's limit suits the job. Results can be saved to Camera Roll or a custom album.

Batch Resize contains advertising, with an in-app purchase to remove it. It supports English, Dutch, French, German, Italian, Japanese, Korean, Portuguese, Russian, Simplified Chinese and Spanish. The developer indicates usage data may be used to track users and may be collected for third-party advertising and analytics; Apple says this information has not been verified by Apple.

Pricing

The Free plan costs nothing. It is a free download with advertising and provides the core resizing utility; there is no free trial because the app already has a free plan. Remove Ads costs $34.99, paid once and removes the advertising. That one-time purchase is the relevant choice for users who expect to use the app regularly and prefer an ad-free experience; it does not change the published output limits.

Platforms

Batch Resize is available on iOS and macOS, and is categorized as mobile software. It is not a choice for users who need a Windows or Linux version.

Who it's for

Choose Batch Resize for resizing sizable groups of images on Apple devices when dimension-based controls and saving to Camera Roll or a custom album meet the need. Look elsewhere if the output cap on a 32-bit device is too low, if advertising is unacceptable and the removal purchase is not worthwhile, or if the disclosed data practices are a concern.

Pros and cons

• Pro: Up to 500 images per batch makes it suitable for large collections rather than one-at-a-time resizing.
• Pro: Five resize modes and two save destinations give useful control over dimensions and organization.
• Con: Output limits vary by device architecture, with a lower ceiling on 32-bit devices.
• Con: The free download contains advertising, and the developer's disclosure says usage data may be used for tracking and third-party advertising and analytics.

Alternatives

Photo Resizing Software is a useful place to compare other image-resizing options. PixelMod is worth considering for users who need macOS, web and Windows coverage; its free plan includes 5 web downloads per month, unlimited desktop downloads and a 0.5 MP maximum. XnConvert suits people seeking Linux, macOS or Windows support, with freeware for private, educational and non-profit use. Converseen is another free option for Linux, macOS and Windows users.

Desqueeze is an iOS alternative. Fotosizer is for Windows users, with a free Standard Edition and paid personal and business options. Photo Size Optimizer offers a free Mac-only option. Cantaloupe is a free self-hosted or web image server, rather than a direct desktop or mobile resizing-app match. FastStone Photo Resizer is a Windows alternative free for personal and educational use.

Verdict

Batch Resize is a sensible pick for Apple-device users who need to resize large batches with straightforward dimension controls. Its 500-image capacity is the clearest reason to choose it; the device-dependent output cap, ads and disclosed data practices are the main reasons to compare alternatives.