How to Find and Remove Similar Photos on iPhone

Published June 13, 2026 · 8 min read

Your iPhone takes stunning photos, but every time you tap the shutter, you probably take two, three, or even five nearly identical shots. Over months, those near-duplicates pile up and silently consume gigabytes of storage. This guide explains what similar photos are, why they matter, and how to use an app to find similar photos on iPhone so you can keep only your best shots.

What Are Similar Photos?

Similar photos — sometimes called near-duplicates — are images that look nearly identical but differ in small, measurable ways. Unlike true duplicates, which are byte-for-byte copies of the same file, similar photos have distinct pixel data even though the subject, composition, and lighting are almost the same.

The most common sources of similar photos on iPhone are burst shots, HDR brackets, and the habit of taking multiple photos of the same scene to "get the perfect one." Apple's Smart HDR and Night Mode also capture several frames internally and may save more than one result. A 2024 analysis by the storage management app Gemini found that the average iPhone user has roughly 2,400 photos in their library, and about 22% of them — over 500 images — are near-duplicates.

These look-alike photos waste storage in a way that is hard to spot manually. Scrolling through thousands of thumbnails does not surface the subtle differences between a sharp shot and a slightly blurred one taken half a second later. That is why a dedicated app to find similar photos on iPhone is so valuable: it automates the comparison and surfaces groups of near-duplicates so you can quickly decide which version to keep.

How TidyByte Detects Visual Similarity

TidyByte takes a two-stage approach to finding similar photos. The first stage is an exact-match pass using SHA-256 hashes. This catches true duplicates — files that are binary-identical — in milliseconds, regardless of filename or metadata. The second stage is where TidyByte shines: it uses Apple's Vision framework to compare the visual content of every photo in your library and identify images that look alike even when the file data differs.

The similarity detection runs entirely on your device. No photos are uploaded to any server, and no internet connection is required. TidyByte processes your library in batches, yielding every 20 images to keep the UI responsive and your phone cool. On an iPhone 15 with a 10,000-photo library, a full similarity scan typically completes in under three minutes.

The detection pipeline

For each photo, TidyByte loads a downscaled version of the image — large enough for accurate analysis, small enough to keep memory usage low. It passes this image to the Vision framework's feature print generator, which returns a high-dimensional vector that encodes the photo's visual characteristics: edges, textures, color distributions, and spatial relationships between objects.

Once every photo has a feature print, TidyByte compares them pairwise. Two photos are considered similar when their feature prints produce a distance metric below a configurable threshold. The default threshold is tuned to catch photos that a human would call "basically the same picture" while ignoring photos that merely share the same location or subject. You can adjust this threshold in TidyByte's settings to be more or less aggressive depending on your cleanup goals.

Apple Vision Feature Prints Explained

At the heart of TidyByte's similar-photo detection is a technology from Apple's Vision framework called a feature print. A feature print is a compact mathematical representation of an image's visual content. Think of it as a fingerprint that captures what a photo looks like, not what its pixels literally are. Two photos of the same sunset taken seconds apart will produce feature prints that are very close together in mathematical space, even if the files differ by millions of bytes.

Apple introduced feature prints as part of its on-device machine learning stack. The model that generates them is a convolutional neural network trained on millions of images. It runs on the Neural Engine built into every iPhone since the A12 chip, which means it is fast — typically under 50 milliseconds per image — and energy-efficient. Because the model runs locally, your photos never leave your device during the analysis.

How feature print comparison works

When TidyByte compares two feature prints, it calculates the Euclidean distance between them. A distance of zero would mean the images are visually identical. In practice, burst shots of the same scene typically produce distances between 0.05 and 0.15. Photos taken a few seconds apart, where the subject moved slightly, usually fall between 0.15 and 0.30. Photos of completely different scenes have distances well above 1.0. TidyByte's default threshold groups photos with a distance below 0.30, which reliably catches near-duplicates without pulling in unrelated images.

One important limitation is that feature prints encode visual similarity, not semantic meaning. A photo of a red car and a photo of a red wall might produce a moderately low distance because they share color and texture, even though they are clearly different photos. TidyByte mitigates this by also factoring in capture metadata — if two photos were taken more than 60 seconds apart or in different locations, the similarity threshold is tightened. This hybrid approach keeps false positives low while still catching the near-duplicates you actually want to clean up.

Reviewing Similar Photo Groups

Once TidyByte finishes scanning your library, it presents the results as organized groups of similar photos. Each group contains two or more images that the algorithm identified as near-duplicates. You can browse these groups in a card-based interface where all the photos in a group are shown side by side, making it easy to compare them at a glance.

The review workflow is designed for speed. Swipe left on a photo to mark it for deletion, swipe right to keep it. TidyByte highlights the photo with the highest sharpness score in each group with a subtle badge, so you can quickly spot which shot is technically the best. If you are unsure, tap a photo to open it full-screen and zoom in to check details like focus and facial expressions.

Select All and batch operations

For large libraries with hundreds of similar-photo groups, TidyByte offers a Select All feature that marks every photo in a group except the best one. This lets you review an entire group in a single tap rather than swiping through each image individually. You can still override the selection on a per-photo basis before confirming the deletion. Batch operations are processed through the standard PhotoKit deletion API, which moves photos to the Recently Deleted album where they remain for 30 days before permanent removal.

TidyByte also respects your library's live photos, burst stacks, and edited versions. If a group contains both an original and an edited copy, the app defaults to keeping the edited version since that is the one you intentionally refined. Similarly, burst photos are analyzed as a single stack, and only the best frame from each burst is recommended for keeping. This intelligent defaulting means you spend less time making decisions and more time reclaiming storage.

Choosing the Best Shot

When you have a group of three or four nearly identical photos, picking the best one can feel tedious. TidyByte helps by automatically scoring each photo on technical quality. The primary metric is sharpness: the app analyzes the image's high-frequency content to estimate how well-focused it is. Photos with motion blur or soft focus score lower. For portraits, TidyByte also checks whether faces are in focus and whether eyes are open, using Vision's face detection and landmark capabilities.

Beyond sharpness, TidyByte evaluates exposure and white balance. An overexposed sky or a color cast from mixed lighting can make a photo less appealing even if it is sharp. The app flags these issues with small icons on each thumbnail, so you can see at a glance why a particular shot scored lower than its neighbors. These scores are suggestions, not mandates — you always have the final say.

Practical tips for choosing quickly

• Trust the sharpness badge first. A blurry photo rarely wins. If TidyByte flags one shot as the sharpest, start there.
• Check faces second. For group photos, zoom into each person's face. One shot where everyone has their eyes open is worth more than a technically sharper shot with a blink.
• Look at the background. Sometimes the "best" photo has a distracting element — a trash can, a photobomber, a car — that a slightly softer shot avoids.
• Consider the crop. If you plan to crop a photo for social media, a slightly wider framing might be more useful than a tighter, sharper shot.
• Use Select All for large groups. When you have five or more near-identical shots, let TidyByte pick the best one automatically and then only review the exceptions.

Space Savings from Similar Photo Cleanup

The storage savings from removing similar photos are significant. A typical iPhone photo taken with a modern iPhone 15 or 16 Pro averages 3–5 MB in HEIF format. If you take three similar shots of every scene — a conservative estimate for many users — you are storing roughly 6–10 MB of near-duplicates per moment. Over a year of daily photography, that adds up to 2–4 GB of redundant data from similar photos alone.

For users who shoot frequently — parents photographing kids, travelers documenting trips, content creators capturing dozens of angles — the numbers are even higher. TidyByte users with libraries of 10,000 or more photos routinely report reclaiming 15–30% of their photo storage after a single cleanup session. On a 128 GB iPhone where storage is at a premium, that can mean freeing up 5–15 GB without losing a single memory.

Beyond raw storage, removing similar photos also improves the experience of browsing your library. Fewer near-duplicates means faster scrolling, cleaner Memories, and less time spent searching for the one good shot among a cluster of look-alikes. TidyByte also offers video compression and screenshot cleanup tools, so you can tackle multiple sources of storage waste in a single session.

The best part is that TidyByte is completely free with no ads, no account required, and no usage limits. All processing happens on your device using Apple frameworks — your photos are never uploaded anywhere. If you are looking for an app to find similar photos on iPhone that respects your privacy and your wallet, TidyByte is purpose-built for exactly this task.

Frequently Asked Questions