AI-powered keyword generation for photos and videos
By Tanmay Verma, Founder · Last verified 03 Jun 2026
In short
PhotoTag.ai — AI-powered keyword generation for photos and videos. Best for Photographers submitting to microstock sites needing bulk keyword generation, E-commerce teams automating product image metadata for SEO, Real estate professionals tagging listing photos efficiently. Free to use.
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A solid choice for photographers and e-commerce teams needing bulk AI tagging, especially for stock photo optimization. Its Lightroom plugin and API add flexibility, but pricing details aren't transparent from the page. Consider if manual metadata is a bottleneck.
Compare with: PhotoTag.ai vs SnowSEO, PhotoTag.ai vs Mangools, PhotoTag.ai vs INK Editor
Last verified: June 2026
PhotoTag.ai stands out for its focus on keyword and caption generation for both photos and videos, with specific support for stock photography and e-commerce product tagging. The Lightroom plugin is a major plus for Adobe users, and the API enables integration into existing workflows. It appears to target users who need scalable, batch processing—ideal for large libraries or regular uploads to microstock sites. However, the website lacks clear pricing tiers (only a /pricing page exists but no details provided), and there's no mention of free trial or freemium. Competitors like Imagen or AutoTag often offer more transparent pricing or deeper platform integration. If you need a lightweight, specialized tagging tool and don't mind opaque pricing, PhotoTag.ai is worth trying. But for full DAM solutions, you might look elsewhere.
Skip PhotoTag.ai if Skip PhotoTag.ai if you want a fully managed tagging service that doesn't require you to set up an external AI API key or if you need collaborative DAM with role-based permissions.
How likely is PhotoTag.ai to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
PhotoTag.ai is an AI-driven tool that automatically generates keywords, captions, and metadata for photos and videos, designed for photographers, e-commerce businesses, stock contributors, and DAM managers. It integrates as a Lightroom plugin and offers an API for bulk processing. Key features include batch image processing with XMP/IPTC metadata, AI-generated vector SVG keywords, and support for multiple languages. The tool helps boost SEO for visual content, streamline photo library management, and increase stock photo sales by automating metadata workflows. Compared to manual cataloging, PhotoTag.ai can process 1500 photos in 90 minutes, saving time and improving consistency.
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Concrete scenarios for the personas PhotoTag.ai actually fits — and what changes day-one when you adopt it.
You have 1500 new stock photos to tag for microstock sites.
Outcome: Upload images, run batch AI keywording via the web app or Lightroom plugin, export XMP metadata, and submit to stock agencies – all in under 2 hours instead of days.
You need to add SEO-friendly metadata to 200 product images for your Shopify store.
Outcome: Use the web app to generate keywords and captions, then export as CSV/XMP and import into your product feeds, potentially boosting search visibility.
You want to automate metadata for a large image library in your DAM system.
Outcome: Integrate the PhotoTag.ai API into your pipeline, send images programmatically, receive keywords and captions, and ingest into your database – no manual tagging needed.
Pricing transparency is poor; only a free tier is listed without detailed feature limits. Requires you to bring your own OpenAI or Gemini API key, incurring separate inference costs. No direct integrations with popular platforms like Shopify or WordPress; relies on the new API for custom connections. The website requires JavaScript to function fully, which may affect accessibility. No information on maximum file size, batch size limits, or supported video formats beyond MP4, MOV, AVI.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published PhotoTag.ai tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free Tier
Free
Ideal for
Individual photographers or sellers wanting to try AI keywording on a small batch before committing
What this tier adds
Free entry point with unspecified limits – no paid tiers currently published
The company stage and team size where PhotoTag.ai's pricing actually pencils out — and where peers do it cheaper.
PhotoTag.ai's free tier offers a cost-effective entry for individuals, but the hidden cost of a separate API key means total spend can vary. For high-volume users, a paid tier (if introduced) would need to compete with one-time purchase tools like Aftershoot or DAM subscriptions like Cloudinary.
How long it actually takes to get something useful out of PhotoTag.ai — broken out by persona, not the marketing-page minute.
Stock photographers with a Lightroom workflow can install the plugin and start tagging in under 15 minutes after adding their API key. The web app requires just an account and API key – first tags in 5 minutes. API integration may take a few hours for developers.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
AI-generated titles, descriptions, and keywords for photos and videos. Use the Lightroom Classic plug-in or API endpoint for a seamless workflow.
AI-generated titles, descriptions, and keywords for photos and videos. Use the Lightroom Classic plug-in or API endpoint for a seamless workflow.
Common stack mates teams adopt alongside PhotoTag.ai, with the specific reason each pairing earns its keep.
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Last calculated: June 2026
AI-generated titles, descriptions, and keywords for photos and videos. Use the Lightroom Classic plug-in or API endpoint for a seamless workflow.
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