TidyByte Review: Is It the Best Free Photo Cleaner?

Your iPhone probably holds thousands of photos you will never look at again. Blurry shots, near-duplicates, screenshots you forgot to delete. TidyByte is a free, open-source app that helps you reclaim that space in minutes. This TidyByte review breaks down what the app does well, where it falls short, and whether it deserves a spot on your home screen.

What Is TidyByte?

TidyByte is a native iOS app built entirely in Swift and SwiftUI. It targets iPhone and iPad users who want to clean up their photo library without handing their images to a cloud service. The app launched as an open-source project under the MIT license, meaning anyone can inspect the source code, contribute features, or fork it for their own use.

The core mechanic is a Tinder-style swipe interface. You swipe left to delete a photo, right to keep it. This sounds simple, and it is, but the app layers intelligence underneath. Apple's on-device Vision framework analyzes each image for blur, exposure, and composition before surfacing it. The worst offenders appear first, so you spend your time on the photos most likely to be junk rather than scrolling through every shot chronologically.

TidyByte also includes specialized tools for duplicate detection (both exact matches via SHA-256 hashing and near-duplicates through Vision feature prints), screenshot cleanup, large video compression, and storage breakdowns. There are no accounts, no subscriptions, and no ads. The app weighs under 10 MB and runs on iOS 17 or later. For a full feature list, see the features page.

Key Features

TidyByte packs several distinct tools into a single tab bar. Here is what each one does and how well it works in practice.

Swipe Cleanup

The flagship feature. The app fetches your library, scores every photo by blur and exposure, then sorts the worst to the front. Swiping through 500 photos takes roughly 10 to 15 minutes depending on how decisive you are. The interface is smooth, with haptic feedback on each swipe and a clear undo path if you make a mistake. You can also tap "Select All" to bulk-delete an entire category at once.

Duplicate Detection

The duplicate finder uses two passes. First, it hashes every photo with SHA-256 to find exact copies. Then it runs Vision feature print comparison to catch near-duplicates, photos that look nearly identical but differ by a crop, filter, or recompression. In testing on a library of 8,000 photos, the tool surfaced roughly 340 duplicate clusters, freeing just under 2 GB of storage. The grouped view lets you pick the best shot from each cluster and delete the rest.

Screenshot Cleanup

Screenshots accumulate fast. TidyByte filters your library for screenshot media types and presents them in a dedicated review flow. This is useful for clearing out old app screenshots, conversation captures, and memes saved from messaging apps. The filter is reliable because it reads the media subtype directly from PhotoKit rather than trying to classify images visually.

Video Compression

Videos are often the single largest category in a photo library. TidyByte identifies videos over a configurable size threshold and re-encodes them at a lower bitrate using AVAssetExportSession. A 1.2 GB 4K clip typically compresses to around 300 to 400 MB with minimal visible quality loss. The app shows a live progress bar and lets you cancel mid-export. Compressed originals are saved to a separate album so you can compare before deleting the uncompressed version.

Storage Breakdown

The storage tab gives you a visual breakdown of how your library is distributed across photos, videos, screenshots, and other media types. It also surfaces the largest individual files. This does not clean anything by itself, but it helps you decide where to focus. If 60 percent of your storage is video, you know to start with the compression tool rather than swiping through photos one by one.

Privacy and Security

Privacy is the strongest argument for TidyByte over cloud-based alternatives. Every analysis task, blur detection, duplicate hashing, feature print generation, happens on-device using Apple's Vision and Core ML frameworks. No images leave your phone. No account is required. The app does not phone home, does not send analytics, and does not track you across sessions.

This matters more than most people realize. Many popular cleaning apps upload your photos to their servers for processing. Even if their privacy policy promises deletion, the images still transit the internet and sit in temporary storage you do not control. TidyByte eliminates that risk entirely because the architecture makes cloud transmission impossible, there is no server component.

The app stores its own metadata (swipe records, compression history, storage snapshots) in a local SwiftData database. None of this data is shared. The app requests photo library access and nothing else. It does not ask for contacts, location, network access, or any other permission. For users who want to verify these claims, the entire codebase is available on GitHub. You can also read the full privacy policy for details.

User Experience

The swipe interface is the heart of TidyByte, and it feels fast. Image loading uses an actor-based caching layer so thumbnails appear instantly once fetched. Large libraries do cause an initial load delay of a few seconds while the app indexes everything, but after that the swipe queue stays populated with no stuttering.

Navigation follows a standard tab bar layout: Swipe, Cleanup tools, Storage, and Settings. Each tab has its own navigation stack, so you never lose your place when switching between sections. The app supports both iPhone and iPad, with the iPad version adapting to wider screens. The design uses a dark theme with high-contrast text, which makes it easy to evaluate photo quality on screen.

One area where TidyByte could improve is onboarding. The app drops you straight into the swipe interface with minimal explanation. First-time users might not realize they can access the duplicate finder or video compressor from the Cleanup tab without some exploration. A brief tutorial overlay or tooltip sequence would help. That said, the interface is intuitive enough that most users figure it out within a minute or two.

Performance on older devices is worth noting. On an iPhone 12 or newer, the app feels snappy. On an iPhone SE (3rd gen), the initial library scan takes noticeably longer, though the swipe experience itself remains smooth once images are loaded. The app requires iOS 17, which cuts off devices older than the iPhone XS. This is a reasonable tradeoff since it lets the codebase use modern Swift concurrency features throughout.

Pros and Cons

No app is perfect. Here is an honest breakdown of where TidyByte shines and where it has room to grow.

TidyByte vs. Paid Alternatives

Verdict: Who Is It For?

TidyByte is best suited for iPhone users who want a fast, private way to reduce photo library clutter without spending money. If you have never done a cleanup and your library is full of blurry shots, duplicate bursts, and forgotten screenshots, TidyByte will save you real storage space in a single session. The swipe interface makes the process feel less like a chore and more like a game.

The app is also a strong choice for anyone who cares about privacy. Because all processing happens on-device with no cloud component, you never have to trust a third party with your personal photos. The open-source codebase means you can verify this claim yourself or hire someone to audit it.

Where TidyByte falls short is platform breadth and polish. If you need Android or desktop support, cross-device sync, or a highly guided onboarding experience, you will need to look elsewhere. Paid alternatives like Gemini Photos offer more polish and platform coverage, but they come with subscription costs and cloud dependencies.

For the specific use case of cleaning an iPhone photo library quickly and privately, TidyByte is hard to beat at any price. That it is completely free makes the value proposition even stronger. If you are curious, install it, grant photo access, and swipe through your worst 100 photos. You will know within five minutes whether it works for you. Check the changelog to see what features have been added recently, or visit support if you need help getting started.

Frequently Asked Questions