ImageTagger

For Mac · Open source

Keywords for every photo, without typing one.

ImageTagger looks at your photos with a deep learning model that runs on your Mac, suggests keywords like flower, nature and outdoors, and saves them where Lightroom, Capture One and Photo Mechanic find them.

Download for Mac View on GitHub

Free download · macOS 26.5 or later · Apple silicon and Intel

ImageTagger showing a photo of orange berries. The inspector lists its tags: close, day, flower, freshness, growth, leaf, nature, no people, outdoors, petal and plant, followed by the camera, lens and exposure.

How it works

From a folder of photos to searchable keywords.

No account and no setup. Open your photos and ImageTagger gets to work.

  1. Add your photos

    Choose File › Add Images…, drag photos or whole folders onto the window or the Dock icon, or use Open With in Finder. Folders are searched with all their subfolders.

  2. Review the tags

    Photos are analyzed in the background, several at a time. The inspector shows each photo’s tags next to its camera, lens and exposure.

  3. Save or copy them

    Save the tags into your files with ⌘S, or let ImageTagger save them as soon as each photo is analyzed. Or copy them for your next post.

Features

Made for photographers’ files.

ImageTagger writes keywords the way photo apps expect them, and treats your originals with care.

Runs on your Mac

The model runs on your Mac with Core ML. The app has no network access, so your photos never leave it.

Safe for RAW

CR2, CR3, NEF, ARW, RAF, ORF, RW2, DNG and other RAW files are never modified. Their keywords go to an XMP sidecar next to them.

Keeps your keywords

New tags are merged with the keywords already in the file. Nothing is removed, and tags that are already there aren’t added again.

No quality loss

JPEG, HEIC and TIFF images get the keywords without being compressed again, and every file is checked before it replaces the original.

Whole shoots at once

Drop a folder and every photo in it is analyzed in parallel, with progress in the sidebar. Press ⌘. to stop at any time.

Photo details

The inspector shows the dimensions, date taken, author, camera, lens, focal length, aperture, shutter speed and ISO.

Saving tags

Keywords where your tools look for them.

Tags go into the standard keywords field, XMP dc:subject, and into the IPTC keywords when the file already has them. The apps you use can then search and filter by them.

  • Lightroom
  • Capture One
  • Photo Mechanic
  • Adobe Bridge
  • Finder and Spotlight
  • Windows
  • DSCF5857.jpeg Keywords inside
  • IMG_1235.CR2 Never modified
  • IMG_1235.xmp Sidecar with keywords 
<dc:subject>
  <rdf:Bag>
    <rdf:li>architecture</rdf:li>
    <rdf:li>building exterior</rdf:li>
    <rdf:li>tower</rdf:li>
  </rdf:Bag>
</dc:subject>

Copying tags

Ready for your catalog, or your next post.

Copy tags separated by commas or spaces, or as hashtags with multi-word tags joined together. Press ⇧⌘C to copy, and ImageTagger remembers the format you chose.

1,708 keywords, from sunset and portrait to street, wedding and coffee.

DSCF5857.jpeg 11 tags

close, day, flower, freshness, growth, leaf, nature, no people, outdoors, petal, plant

Command line

Tag a whole shoot from the Terminal.

The imagetagger command comes with the app you download here. It uses the same model and saves tags the same way, so you can tag a folder right after an import, or from your own scripts.

Add --dry-run to only print the tags, and --format hashtags to print them ready to post. To install it, choose Install Command Line Tool… in the ImageTagger menu.

Your photos stay on your Mac.

ImageTagger doesn’t collect any data. There are no accounts, no analytics and no uploads, and the app only reads the photos you give it.

Read the privacy policy →

Start tagging your photos.

ImageTagger is open source under the GNU General Public License v3. It’s a native Mac version of the original ImageTagger, written in SwiftUI.

Download for Mac Source code

Requires macOS 26.5 or later