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Scrollum: Stitch Screenshots
First look · iPhone

Scrollum: Stitch Screenshots

Review the seam and the data route before sharing the long image

Get it from the official store ↗

Scrollum combines screenshots or other images into a continuous result, using overlap detection with manual control over joins. Its official description is unusually specific about uncertain matches and an optional cloud-assisted fallback that starts enabled. This first look uses the App Store listing, not a stitching or privacy test.

The audience is someone preserving an article, conversation or tutorial in one view. The useful result is continuity without quietly losing a line or repeating the wrong section. A convincing long image is not automatically a faithful record, and the app's on-device-first wording should not be shortened into a guarantee that every matching operation remains entirely local.

Based on official store information. We have not tested this app hands-on.

What it does

The developer says only reliable joins verified against original images are applied automatically. Uncertain content remains intact for review. Users can reorder images, crop their upper and lower edges, drag a join or move it one pixel at a time, and undo or redo edits. Those controls provide a correction route rather than a promise that every automatic match is right.

Vertical and horizontal stitching are described, including direct joining when images do not overlap. PNG and JPEG output can be saved to Photos or shared through the system, with an output-size choice and no watermarks. We have not tested export fidelity, extreme dimensions or how different destination apps handle a very long image.

Matching begins on the device, while stitching, editing and export take place there. Cloud Matching Fallback is on by default. On supported devices and systems, reduced grayscale screenshots may be sent to Apple Private Cloud Compute when local assessment cannot resolve a match and verifiable candidates exist. The option can be disabled in Settings. Smaller grayscale images can still contain personal information.

Before you install

Begin with overlapping captures whose source order you know. Include enough repeated content to make the intended join understandable, then inspect the area around every seam. Dynamic elements, repeated lists and changed scale can require manual work. The description explicitly does not guarantee automatic stitching for every image.

Choose the data arrangement before importing sensitive content. Review the fallback setting and current privacy information, especially when a conversation or account screen contains names or private records. We have not audited the implementation, Apple's processing route or every fallback condition. A no-registration requirement is an access feature, not proof that no network operation can occur.

For the final image, compare meaning as well as visual smoothness. A repeated message, omitted qualification or misplaced total can change what the result appears to say. Keep the original captures when accuracy matters and describe the output as a stitched composition rather than an untouched single capture. The editor helps review that transformation; it does not independently establish authenticity.

Price and access

The official US App Store offer lists a free download. Free tasks support up to three images, with automatic stitching, manual correction and export. A one-time Scrollum Pro purchase raises the limit to twenty images per task. It is not a subscription, and image-size and processing limits still apply.

The exact regional Pro price is not established in the official description. Confirm the current purchase screen and supported requirements before upgrading. The limits count images within a task, not a promise of unlimited output dimensions or a defined number of daily tasks. No watermark is described for the export route.

Our take

Scrollum's strongest proposition is to make uncertain joins visible and editable. Automated matching is useful when it saves work, while pixel-level movement and preserved source content give the user a way to correct the difficult case. The explicit fallback disclosure is equally important because matching and final assembly have different data paths.

We have not tested accuracy, accessibility, privacy, reliability or output quality. Our take is to use a harmless sample, inspect the fallback setting and review the complete export against its sources. Choose Pro around a genuine need for more than three images, while retaining the size and processing qualifications.

A horizontal composition can serve a different purpose from a long scrolling conversation. Select the direction around the source and intended reader rather than assuming one orientation is always clearer. A smooth join is only useful when the resulting sequence remains understandable.

Language and appearance choices can make the interface more accessible to the user, but they do not change the sensitivity of the captured content. The listed English, Chinese and Japanese interface options should not be confused with a translation service for the screenshots themselves.

The qualified first-look verdict is a focused stitching tool with unusually concrete correction and privacy boundaries. Its value depends on an inspectable source-to-output chain, not just a long attractive image. The successful result preserves the intended content, uses an understood processing route and reaches only the audience the user chose.

A useful rehearsal should include one uncertain join, because that is where preserved source content and manual adjustment matter most. An ideal sample with obvious overlaps would not test the feature that distinguishes the workflow.

Sources

App Store ↗

App icon from the official store listing.