APPLORE vs Vidu Q4: Which Is Better in 2026?

APPLORE started as a place to look at real app icons before designing one. It is now a library of 18,000+ icons pulled from the App Store and Google Play, and when an app changes its icon the old one is kept, so you can scroll back through every version an app has shipped.

You can browse by color, by category or by style, which is handy when you are stuck on a palette or want to see how other apps in your category handle the same idea. Each icon opens at full resolution.

Next to the library there are tools for the rest of the icon job:

- AI app icon generator: describe your app, pick a style, and get icon drafts you can keep editing.
- App icon exporter: upload one image and download every size you need for iOS, Android adaptive icons and the web. This one is free.
- App icon preview: see your icon on a phone home screen next to real apps before you ship it.
- Logo animation: turn a static logo into a short animation and export it as Lottie or video.
- App Store screenshot generator: build store screenshots in the browser, free and without signing up.
- PNG to SVG converter, iPhone mockups and an app name generator, also free.

There is a blog too, with guides on icon sizes, Android adaptive icon safe zones and design trends, written from the data in the library.

Who it is for: indie developers and small teams who need an icon that looks right next to the competition, designers collecting references, and anyone shipping an app who does not want to deal with exporting thirty sizes by hand.

Pricing: free to start. Pro is $9.99/month and Max is $29.99/month for heavier AI use, and there is a one-time Founder plan at $49. The free plan shows the first 300 icons of each list; paid plans open the full archive.

What problem it solves

Designing an app icon usually means hunting for references across store pages, guessing what fits your category, then exporting dozens of sizes by hand. APPLORE puts real icons, past versions and the export step in one place.

Alternatives & competitors

People often use Dribbble or Pinterest for icon references and separate tools like makeappicon or Figma plugins for exporting sizes. APPLORE combines a real store-icon archive with those tools.

Vidu Q4 is an AI video generation model presented as a browser-based studio on viduai.net. According to the product page, the model turns written prompts and reference images into short video clips, with controls for shot style, motion and aspect ratio.

Teams usually arrive at Vidu Q4 with a specific shot in mind rather than a blank page. The practical workflow is to describe the scene, attach a reference frame if one exists, generate a few candidate clips, and then compare them against the original brief. Keeping the prompt and the reference constant while changing a single setting makes it easier to see which choice actually improved the shot.

For marketing and product teams the appeal is speed of exploration. A concept that would normally need a storyboard review and a shoot day can be sketched, reviewed and discarded in an afternoon. For independent creators the same loop works as a pre-visualisation step before committing to a full production.

The model is aimed at short-form output such as social clips, teaser shots, background plates and motion tests. Because the footage is generated, results are approximate by nature, so the sensible pattern is to treat early clips as drafts and only move forward with the ones that already match the intended framing and pacing.

Vidu Q4 also fits into an existing editing pipeline rather than replacing it. Generated clips can be reviewed, trimmed and combined with conventional footage, which keeps the final assembly under the team own control. Prompt text and reference frames can be reused across a series, so a campaign with several variants does not start from zero each time.

Anyone evaluating Vidu Q4 should read the product page for the current feature set, supported resolutions and access options, since a model like this is updated regularly. The most reliable way to judge it is to run one real brief through it and compare the result with what the team would otherwise have produced.