Productivity

Image Tagging AI

Upload an image and get a ranked keyword list ready for stock sites, DAM tools, or alt text.

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Image Tagging AI

What the Image Tag Generator does

Uploading a batch of photos to a stock site or a digital asset library and typing keywords one by one is slow, and it's easy to miss terms a buyer or search engine would actually use. This tool looks at an image and returns a single comma-separated list of 15 to 30 tags, ordered from most to least relevant, covering the subject, setting, color palette, mood, and visual style. It's built for stock contributors, DAM managers, and anyone writing SEO alt text who needs solid keyword coverage without brainstorming every term themselves.

Example result

See a sample result

Input: A blank white paper hang tag on a string, lying on rust-red fabric. Strong diagonal shadows cross the frame from window light, giving the plain tag and fabric a graphic, high-contrast look.

  • tag_coverage82%
  • subject_clarity88%
  • stock_suitability85%

hang tag, paper tag, blank tag, price tag mockup, gift tag, string tag, tag mockup, rust red fabric, textile background, diagonal shadow, window light, natural light photography, minimal still life, product tag, mockup template, tag on fabric, warm tone, red and white, negative space, top view, flat lay, blank label, packaging mockup, craft tag, retail tag, copy space, tag with string, shadow play, textured fabric, still life photography

The blank tag leaves clear room for text or a logo overlay, so tags lean toward mockup and template searches alongside the literal subject and color palette.

How it works

  1. 1

    Upload the image you want tagged

    Photos, illustrations, and graphics all work. A clear, well-lit image gives the model more visual detail to draw tags from.

  2. 2

    Add a note in the details box if useful

    If you're tagging for a specific platform or campaign, mention it in the details box so the tags lean toward terms that audience searches for.

  3. 3

    The model reads subject, setting, color, and style

    It identifies the main subject, background or location, dominant colors, overall mood, and visual style (photography, illustration, painting, and so on).

  4. 4

    Get a ranked tag list and quality scores

    You get a single comma-separated list of tags ordered by relevance, plus scores for tag coverage, subject clarity, and stock suitability.

Use cases

Stock photo and illustration uploads

Generate a starting keyword list for each new upload to a stock marketplace instead of typing tags manually for every file.

Digital asset management systems

Tag incoming brand or marketing assets consistently so they're findable by search inside a DAM, even months after upload.

SEO alt text and image metadata

Pull relevant keywords from the tag list to write accurate, search-friendly alt text or file names for images on a website.

Organizing a large personal or client photo library

Run older, untagged photos through the tool to make a disorganized folder searchable by subject, color, or style.

Tips for better results

  • Upload the highest-resolution version you have; heavy compression can obscure texture and color detail the model would otherwise pick up on.
  • If an image has more than one clear subject, mention the one you want prioritized in the details box, since tag order follows relevance.
  • Check the stock_suitability score before submitting to a marketplace; a low score usually means the subject is too abstract or unclear for buyers to search for reliably.
  • Combine the auto-generated tags with a couple of your own niche or brand-specific terms the model can't infer from the image alone.
  • Re-run the tool after cropping if your original photo includes distracting elements at the edges that pull tags away from the main subject.

Limitations

Tags are generated from what's visually present in the image; the model can't identify brand names, people's identities, exact locations, or licensing status. Always review the list before publishing tags publicly, since a generated term can occasionally be too generic or slightly off for a niche subject.

Frequently asked questions

How many tags does it generate?

Between 15 and 30 tags per image, ordered from most to least relevant, returned as a single comma-separated list.

Can it tag illustrations and graphics, not just photos?

Yes, it works on photography, digital illustration, paintings, and other static image types, adjusting the tags to match the visual style.

What do the tag_coverage, subject_clarity, and stock_suitability scores mean?

Each is a 0 to 100 estimate: tag coverage reflects how thoroughly the tags describe what's in the image, subject clarity reflects how identifiable the main subject is, and stock suitability estimates how easily a buyer could find this image by search.

Will it recognize a specific brand, logo, or named location?

It can note visible generic elements like a logo shape or color, but it won't reliably name a specific brand or exact location from the image alone.

Can I use the tags directly as alt text?

The tags work better as a keyword list to draw from when writing a natural alt text sentence, rather than pasting the raw list into an alt attribute.

Does it avoid duplicate or near-duplicate tags?

Yes, the tool is instructed to skip near-duplicates, like including both a broad and a narrower version of the same word, unless both add distinct value.

Plans start at $9 a month. See pricing