Gemini for Mac

No version notes accompany the current release, but that quietness suits the tool. Gemini 2 remains a focused duplicate finder, shaped to scan large photo libraries and scattered working folders with equal patience.

Duplicate reach: Photos and project folders scanned in one pass

• Clearing duplicate shots from Photos and iTunes libraries where copies multiply during edits and imports.
• Sweeping old project folders for repeated assets: the scan runs across the whole drive without needing you to point it at each suspect directory.
• Reviewing results before deletion: a visual preview area lets you compare files side by side rather than trusting filenames alone.
• Restoring mistakes: a Recently Deleted holding area keeps removed files reachable for a while.

Apple Silicon gap: runs on Intel Macs only

• The app runs on Intel Macs only; Apple Silicon machines are not listed as supported.
• It requires macOS 10.13 High Sierra or later, though older support pages mention compatibility back to 10.10 for earlier builds.
• Smart Select preselects files deemed safe to remove, which saves time but still rewards a careful glance before confirming.

Comparisons: Gemini alongside other cleanup tools

Mac users looking for duplicate detection have a handful of credible options. Gemini occupies a particular niche among them, and understanding where it differs clarifies whether it suits a given setup.

Gemini versus Duplicate File Finder Remover (the free utility by Nektony): the free tool scans quickly and handles straight duplicates well, but it lacks the similar-file intelligence that Gemini brings. Where Gemini groups photos that share composition but differ in resolution or watermarking, the simpler finder sees two unrelated files. For a photographer with a sprawling Lightroom export folder, that gap matters. The free tool also offers no learning mechanism for reuse across scans; each cleanup round starts from scratch.

Gemini versus CleanMyMac X's duplicate module: CleanMyMac X bundles a duplicate finder inside a larger maintenance suite, and the scan logic shares heritage with Gemini (both come from MacPaw). The standalone Gemini app, however, gives more screen space to visual comparison and lets you browse results without the surrounding clutter of system-junk modules and malware scans. If the only job is duplicate hunting, Gemini feels less encumbered. The bundled version works well enough for a quarterly system tidy, but a dedicated photo-cleanup afternoon benefits from Gemini's fuller preview and grouping style.

Gemini versus dupeGuru: dupeGuru is an open-source scanner that runs on macOS, Windows and Linux. Its matching engine is customisable and it handles fuzzy matching for music, though the interface reads as utilitarian rather than Mac-native. Gemini's visual preview and similarity grouping for images feel more considered; dupeGuru's strength lies in its cross-platform consistency and scriptability. A designer managing asset libraries inside a Mac-first workflow will likely prefer Gemini's review interface, while someone working across operating systems may lean toward dupeGuru.

Settings worth changing early

A few adjustments make the app behave more predictably. None are buried, but first-time users often skip them in the rush to reclaim gigabytes.

• Scan scope: exclude external drives when you only want the internal SSD. By default Gemini scans every mounted volume, including slow USB drives and network shares. If a Time Machine disk is connected, the scan can take far longer than expected. Add specific folders or volumes before starting, and the scan time drops to something manageable.
• Similarity threshold for images. The slider appears during scan setup and controls how aggressively Gemini groups near-matches. Sliding toward the loose end catches more variants of the same shot; sliding toward strict reduces false positives. For a first pass through a photo library, starting strict then loosening on a second scan produces cleaner results.
• Smart Select behaviour. Smart Select is on by default and marks files for deletion based on rules the app has learned. That learning comes from previous deletions, so on a fresh install it has no history. Run one manual review first — even a small one — so the algorithm has something to learn from before you trust it on a large library.
• Recently Deleted retention. The holding area keeps removed files for a set period. Check that window; if you clean in waves, extending it prevents a file from vanishing between sessions.

Smart Select trap: trusting it before it has learned your taste

The app is straightforward, but a few patterns surface repeatedly — especially among users who want to clear space quickly and click through the prompts without pause.

Trusting Smart Select before it has learned anything. Smart Select improves with use, yet on a first scan it has no deletion history to draw from. Selecting all its suggestions without review can remove files that a human glance would have kept: a lower-resolution export of a design that was the only copy with a specific crop, for instance.

Scanning with a full external drive attached. Gemini scans mounted volumes as thoroughly as the internal drive. A photographer who plugs in a 4 TB archive drive before a quick internal cleanup may find themselves waiting forty minutes for a scan they never meant to run. Unwanted volumes are easy to exclude, but only if you remember to check before clicking scan.

Deleting duplicates from Photos or iTunes libraries directly through the file system. Gemini can see inside these libraries, but removing files from the Finder level rather than through the respective app can confuse the library database. The app can do it, but a cautious user reviews those results and removes duplicates from within Photos or Music instead, keeping the library structure intact.

Ignoring the similarity grouping for video. Gemini groups near-duplicate videos as well as images. Beginners sometimes focus on photos and skip the video tab, leaving gigabytes of similar clips — exported drafts, trimmed versions, re-encoded files — untouched. A glance at that tab often recovers more space than an hour spent fine-tuning the image scan.

Bursts and selects: the similarity engine that favors photographers

The tool makes sense for anyone with a Mac that has accumulated files over several years, but certain workflows benefit disproportionately.

Photographers and photo editors. The similarity grouping engine is the deciding factor. A photographer who imports bursts, edits selects, exports JPEGs for clients and keeps RAWs for archives ends up with three or four versions of the same frame. Gemini sees the family resemblance and groups them, making it possible to keep the edited master and discard the rest in one pass. No other duplicate finder on the Mac handles this as gracefully.

Designers managing asset libraries. A designer who downloads icon sets, stock photos and texture packs across client projects often duplicates assets between folders. Gemini's full-drive scan finds those repeats without the designer having to remember which project folder held which version. The visual preview lets them confirm they are discarding the right copy before acting.

Users with small internal SSDs. A 256 GB MacBook Pro fills up quickly. Duplicate media files, old iPhone backups and repeated downloads consume space that is hard to trace manually. Gemini reclaims gigabytes without the user needing to understand where macOS hides cache files. The scan surfaces exactly what is duplicated, and the recovery is immediate.

Musicians and producers with sample libraries. Sample packs often contain duplicate WAV files shared across different kits. A producer who has collected libraries over several years may have thousands of redundant audio files. Gemini's scan covers audio as thoroughly as images, and the space savings in a large sample collection can be substantial.

Full-drive scan cost: fifteen to twenty minutes for 300,000 files

Gemini is not a lightweight app. A full-drive scan on a Mac with a 1 TB SSD and 300,000 files can take fifteen to twenty minutes on an Intel machine; on a slower spinning drive, it takes longer. The scan saturates one or two CPU cores during the hashing phase, and the fans become audible on MacBook Pro models. Memory use during scanning sits around 400–600 MB on a medium-sized library, climbing higher for very large photo collections where the similarity engine works through thumbnails.

Once the scan completes, browsing results is responsive. The thumbnail grid loads quickly, and switching between duplicate groups is smooth. The app has not crashed during any recorded session, though forcing a scan cancellation mid-way sometimes leaves the interface unresponsive for a few seconds while it winds down threads.

After deletion, the space recovery is immediate and accurate. The Recently Deleted area adds a safety layer without consuming noticeable extra resources. On a daily basis, Gemini sits idle and uses no background CPU or memory unless a scan is running. It does not install a launch agent or background helper, which keeps it quiet between sessions.

The Intel-only limitation matters here. On Apple Silicon Macs running under Rosetta, the scan completes — the binary is x86 64-bit — but the hashing phase runs slower than native code would, and the CPU temperature rises faster. The app remains usable, though users on M-series machines may notice the translation overhead during large scans. For Intel Macs, the performance profile is predictable and stable.

In short: Gemini 2 rewards a deliberate approach. A user who sets the scan scope carefully, reviews the similarity slider and makes one manual pass before relying on Smart Select will recover meaningful space with minimal risk. Those who click through quickly may still free up gigabytes, but they will occasionally lose a file they wished they had kept.

• macOS 10.13 High Sierra or later
• Intel-based Mac