PhotoTag.ai is live · pricing not published · last verified 26 Oct 2026 · viability monitor
PhotoTag.ai
Bulk AI photo and video keywording that writes XMP, IPTC, and EXIF metadata using your own OpenAI or Gemini API key.
If your bottleneck is hand-typing keywords for hundreds of files at a time, PhotoTag.ai removes that job and drops valid XMP/IPTC straight into the files. The bring-your-own-API-key model keeps the subscription low but passes inference cost to you, which changes the math at very high volume. It is a metadata engine, not a DAM — buy it for the pipeline, and look elsewhere if you need search and archiving in the same tool.
Verdict generatedVerified 4d ago · liveness 68/100 · cite: rightaichoice.com/tools/phototag-ai
- Stock photographers uploading at volume to microstock agencies
- E-commerce sellers with large product catalogs that need searchable image metadata
- Event photographers delivering thousands of images per shoot
- Stock video and motion-graphics contributors exporting through Motion Array
- Photographers tagging only a few dozen photos a month, where setup and inference costs outweigh the benefit
- Teams that need built-in DAM search and archiving in the same product
- Photographers who want a hands-on, editorial keyword-selection process
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Skip PhotoTag.ai if you want metadata generation and a searchable, archiving DAM in one product — this tool writes keywords into files and exports CSVs, and leaves cataloging to whatever system you already run.
You bring your own OpenAI or Gemini API key, so inference is billed by that provider on top of your subscription — large batches mean a second, variable bill you control but don't see on the PhotoTag.ai invoice.
PhotoTag.ai is subscription-priced and you supply model inference through your own OpenAI or Gemini API key, so total cost scales with volume rather than a per-image credit markup. That structure fits teams processing hundreds to thousands of assets weekly, where per-credit competitors get expensive fast. If you only tag a few dozen photos a month, the subscription plus API spend is hard to justify.
In short
PhotoTag.ai — Bulk AI photo and video keywording that writes XMP, IPTC, and EXIF metadata using your own OpenAI or Gemini API key. Best for Stock photographers uploading at volume to microstock agencies, E-commerce sellers with large product catalogs that need searchable image metadata, Event photographers delivering thousands of images per shoot. Pricing not published.
No head-to-head comparison for PhotoTag.ai yet — the alternatives below are the closest matches we list.
What is PhotoTag.ai?
PhotoTag.ai — Bulk AI photo and video keywording that writes XMP, IPTC, and EXIF metadata using your own OpenAI or Gemini API key. Best for Stock photographers uploading at volume to microstock agencies, E-commerce sellers with large product catalogs that need searchable image metadata, Event photographers delivering thousands of images per shoot. Pricing not published.
PhotoTag.ai handles bulk AI keywording for photo and video libraries. Point it at a folder, it analyzes each image or each video frame, then writes keywords, captions, and descriptions back into the files as XMP, IPTC, and EXIF metadata. A single session processes up to 1500 images, and paid accounts now run larger files through a batch after a recent upload size limit increase. The formats covered are the ones working libraries actually hold: JPEG, PNG, MP4, MOV, and AVI. An Adobe Lightroom plugin puts AI tagging inside your existing edit workflow, a REST API lets you automate metadata generation from your own scripts, and CSV export feeds spreadsheet steps or DAM imports. Vector SVG keyword and caption export handles vector contributors, multilingual keyword generation covers non-English marketplaces, and metadata can be applied to AI-generated photos. The people who get value here are the ones facing thousands of untagged assets: stock contributors pushing volume to microstock agencies, e-commerce sellers with sprawling product catalogs, event and real estate shooters delivering large batches. Motion Array contributors now have their own export path, since PhotoTag.ai added a Motion Array integration for enhanced metadata export. The scope is intentionally narrow. There is no digital asset management, no search, no archiving, and no catalog. You supply the OpenAI or Gemini API key, so inference is billed to you separately from the subscription. Compare it against AI tagging bundled into a broader editing suite, or against scripting a generic AI API yourself — PhotoTag.ai sells workflow glue around metadata, not model access.
Key features
- AI keyword extraction for image libraries
- Frame-by-frame keyword and caption analysis for video
- Batch processing of up to 1500 images per session
- Video metadata generation for MP4, MOV, and AVI files
- Writes XMP metadata readable by Adobe Lightroom and Photoshop
- Writes IPTC metadata for JPEG images
- Generates EXIF data automatically
- Adobe Lightroom plugin for in-app AI tagging
- REST API for custom automation and pipelines
- AI-generated captions and descriptions
- Multilingual keyword generation
- Vector SVG keyword and caption export
- CSV export of metadata for spreadsheets and DAM imports
- Motion Array integration for enhanced metadata export
- Adds metadata to AI-generated photos
Behind the verdict
We'd reach for PhotoTag.ai the moment a library outgrows manual keywording. The pitch is narrow and that's the point: feed it files, get keywords, captions, and descriptions written into XMP, IPTC, and EXIF so the metadata travels with the asset into Lightroom, Photoshop, or a microstock upload. Nothing here tries to be your catalog. Pick it when your bottleneck is metadata volume and you already have a place for the files to land. Stock contributors uploading in batches, e-commerce teams tagging product shots, event photographers delivering thousands of frames — those are the profiles where a 1500-image session pays for itself. The Lightroom plugin matters most for photographers who refuse to leave the editor, while the REST API and CSV export cover pipeline builders feeding a DAM or spreadsheet workflow. Video is a real differentiator. Frame-by-frame analysis of MP4, MOV, and AVI files is rare at this price point, and the newer Motion Array integration gives motion and stock video contributors a direct export path instead of a CSV detour. Paid accounts also got a raised upload size limit, which removes a practical snag when your source files are heavy. Where it bites: you bring your own OpenAI or Gemini API key. That is a genuine advantage if you already pay for one and a friction point if you don't — the subscription and your inference bill are two separate lines, and high-volume runs push the second one up. Budget accordingly before committing a large catalog. Pass on this if you want search, archiving, and metadata in a single product, or if you prefer an editorial eye on every keyword. There's no hands-on tag-curation step, and there are no connectors for Adobe Bridge or Capture One beyond a CSV handoff. Real estate and event shooters on a low monthly output
Models under the hood
as of 2026-10-23
Limitations
- PhotoTag.ai is web-based and requires you to bring your own OpenAI or Gemini API key, so inference is billed separately by that provider on top of your subscription — two bills, and your own key's rate limits apply.
- There is no digital asset management layer: no catalog search, no archiving, no cloud library.
- It does not integrate with Adobe Bridge, Capture One, or cloud DAMs, so those workflows need CSV export as a bridge.
- AI keyword output can read as generic, and photographers with a strong editorial voice may want to refine it by hand.
- Upload size limits apply, with a higher ceiling for paid users.
as of 2026-10-09
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Is PhotoTag.ai still active?
PhotoTag.ai is live · pricing not published · last verified 26 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is PhotoTag.ai? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about PhotoTag.ai?
What people actually say about PhotoTag.ai — is it worth it?
We scanned public community sources for PhotoTag.ai on Oct 9, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 1 of the posts we fetched could be positively tied to PhotoTag.ai. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about PhotoTag.ai— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified PhotoTag.ai 23 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed who it suits, our verdict, summary, features, description, who should skip it
- — changed summary, who should skip it, our verdict, setup time, pricing fit, features, description, switching out, hidden costs, switching in, limitations, use cases
- — changed use cases, who it suits, description, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing fit, setup time, summary
- — changed description, features, who it suits, who should skip it, our verdict, summary
- — changed domain expiry, SSL certificate
- — changed pricing page
Showing the 6 most recent of 23 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does PhotoTag.ai cost in 2026?
PhotoTag.ai: Pricing not published. Pricing last verified 26 Oct 2026.
Where the pricing makes sense
The company stage and team size where PhotoTag.ai's pricing actually pencils out — and where peers do it cheaper.
PhotoTag.ai is subscription-priced and you supply model inference through your own OpenAI or Gemini API key, so total cost scales with volume rather than a per-image credit markup. That structure fits teams processing hundreds to thousands of assets weekly, where per-credit competitors get expensive fast. If you only tag a few dozen photos a month, the subscription plus API spend is hard to justify.
Has PhotoTag.ai's pricing changed?
No plan price for PhotoTag.ai has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick PhotoTag.ai?
Pick PhotoTag.ai if you are Stock photographers uploading at volume to microstock agencies, E-commerce sellers with large product catalogs that need searchable image metadata, Event photographers delivering thousands of images per shoot, Stock video and motion-graphics contributors exporting through Motion Array.
Look elsewhere if you are Photographers tagging only a few dozen photos a month, where setup and inference costs outweigh the benefit, Teams that need built-in DAM search and archiving in the same product, Photographers who want a hands-on, editorial keyword-selection process, Workflows that depend on Adobe Bridge or Capture One connectors rather than CSV handoff.
Skip it if Skip PhotoTag.ai if you want metadata generation and a searchable, archiving DAM in one product — this tool writes keywords into files and exports CSVs, and leaves cataloging to whatever system you already run.
GeneratedReal-world workflow fit
Concrete scenarios for the personas PhotoTag.ai actually fits — and what changes day-one when you adopt it.
You finish a 900-image shoot and need keywords before uploading to Shutterstock, Adobe Stock, and Dreamstime. You run the batch through PhotoTag.ai (limit 1500 images per session), which writes keywords, captions, and descriptions as XMP/IPTC into the JPEGs.
Outcome: Files upload with metadata already embedded, so you skip hand-typing thousands of keywords and keep keyword style consistent across agencies.
A 5,000-SKU product catalog has no keywords or alt text. You point the REST API at your image pipeline so each new product photo gets keywords and a description on ingest, then export CSV for the on-site search team.
Outcome: Product pages get search- and SEO-ready metadata without a manual tagging queue, and the CSV becomes the handoff to your merchandising tools.
Twelve properties shot this week need MLS-ready keywords, including video walkthroughs in MP4. You use the Lightroom plugin for stills and the frame-by-frame video analysis for walkthroughs, then export keywords in the language the listing needs.
Outcome: Listings go up faster with consistent per-property keywords across photos and video, and the metadata stays inside the files for the MLS upload.
Use cases
- Tag thousands of stock photos with consistent keywords before submitting to Shutterstock, Adobe Stock, or Dreamstime
- Generate product metadata for large e-commerce catalogs to improve on-site search and SEO
- Catalog real estate property photos with consistent keywords for MLS listings
- Process concert or wedding photo sets with captions and keywords for faster agency submission
- Automate metadata for large image collections destined for a DAM via CSV import
- Add SEO-friendly alt text and captions to a blogger's image library
- Generate keywords and captions for AI-generated imagery before publishing
- Bulk-keyword video footage exports for stock video marketplaces
Setup time & first value
How long it actually takes to get something useful out of PhotoTag.ai — broken out by persona, not the marketing-page minute.
Stock photographers and Lightroom users: minutes to first value if you already edit in Lightroom — install the plugin, paste your OpenAI or Gemini API key, run a batch. Developers wiring the REST API: an afternoon to authenticate and script the first pipeline. DAM teams using CSV export: an hour or two, mostly mapping your CSV columns to the import template.
Switching to or from PhotoTag.ai
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual keywording in Lightroom: install the plugin, paste your OpenAI or Gemini API key, and run existing folders through a batch instead of typing keywords.
- →From generic AI scripts calling OpenAI directly: swap your ad-hoc prompt loop for the REST API so keywords land as XMP/IPTC metadata instead of loose text.
- →From spreadsheet tagging: export a CSV from your tracker, run the assets through a batch, and use CSV export to reconcile the new metadata.
- →From Adobe Bridge workflows: run the batch separately, then import the CSV export into Bridge as the metadata bridge.
- →From another AI metadata tool: re-run your library through PhotoTag.ai batches, since keywords write into the files themselves and carry over to your DAM.
- ↗To a full DAM (e.g. a cloud catalog with search and archiving): export CSV or rely on the XMP/IPTC already written into files, then import into the DAM.
- ↗To Adobe Lightroom Classsic plus a third-party tagging plugin: keywords written as XMP remain readable, so no re-tagging is needed.
- ↗To your own in-house pipeline: point scripts at the files' existing XMP/IPTC metadata instead of calling the PhotoTag.ai REST API.
- ↗To a general AI photo suite with built-in tagging: export CSV for the migration and let the new tool read the embedded keywords.
- ↗To Adobe Bridge: import the CSV export or read the XMP already written into the files.
Integrations
Resources & guides
- Resourcephototag.ai
Generate Keywords for Photos and Videos
AI-generated titles, descriptions, and keywords for photos and videos. Use the Lightroom Classic plug-in or API endpoint for a seamless workflow.
- Resourcephototag.ai
Generate Keywords for Photos and Videos
AI-generated titles, descriptions, and keywords for photos and videos. Use the Lightroom Classic plug-in or API endpoint for a seamless workflow.
- Resourcephototag.ai
Generate Keywords for Photos and Videos
AI-generated titles, descriptions, and keywords for photos and videos. Use the Lightroom Classic plug-in or API endpoint for a seamless workflow.
Tutorials & Learning
YouTube returned 6 videos for “PhotoTag.ai”, and we withheld 5: 5 could not be judged, because “PhotoTag.ai” is a single word that other videos use for other things. Showing the 1 we can prove is about PhotoTag.ai.
Official links
What are the best PhotoTag.ai alternatives?
The closest alternatives to PhotoTag.ai we list are Topaz Labs, Pixlr and Pixelcut AI Photo Editor. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Topaz Labs | Paid | Pricing not published | — |
| Pixlr | Paid | Pricing not published | — |
| Pixelcut AI Photo Editor | Freemium | Pricing not published | — |
Alternatives to PhotoTag.ai
View all
Topaz Labs
Topaz Labs AI photo and video enhancement: denoise, sharpen, and upscale images up to 16x in the browser, on mobile, or offline on desktop.
Pixlr
Pixlr is a free browser-based AI photo editor and image generator with 20+ AI editing tools, plus AI video and audio generation.
Pixelcut AI Photo Editor
AI photo editor for background removal, product photos, batch editing, and UGC ad videos
Tools that pair well with PhotoTag.ai
Common stack mates teams adopt alongside PhotoTag.ai, with the specific reason each pairing earns its keep.
Topaz Labs
Topaz Labs AI photo and video enhancement: denoise, sharpen, and upscale images up to 16x in the browser, on mobile, or offline on desktop.
Pixlr
Pixlr is a free browser-based AI photo editor and image generator with 20+ AI editing tools, plus AI video and audio generation.
Pixelcut AI Photo Editor
AI photo editor for background removal, product photos, batch editing, and UGC ad videos
Frequently asked questions
Topics
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