PhotoTag.ai

PhotoTag.ai

Transform digital chaos into searchable libraries with AI-powered tagging.

AppCritica Score 3.6/5

What is PhotoTag.ai?

PhotoTag.ai automatically generates relevant keywords, titles, and descriptions for photos and videos using AI algorithms. The tool analyzes visual content to assign accurate metadata, enabling users to organize large digital libraries without manual keywording. It supports multiple image formats including TIFF and offers both web and API interfaces. The platform exports files with embedded metadata or custom CSVs for direct upload to stock photo platforms or asset management systems.

More About PhotoTag.ai

Use Cases & Applications:

  • Automated keywording and SEO optimization for stock photography.
  • Metadata creation for e‑commerce product images and catalogs.
  • Batch tagging for large photo and video libraries.
  • Workflow integration for creative professionals via Lightroom and API.
  • Export searchable metadata for digital asset managers.
  • Prepare content for stock platforms (Adobe Stock, Shutterstock, etc.)

What Makes It Different:

  • Batch processing up to 1,500 files at once.
  • Pay‑as‑you‑go credits with no subscriptions or expiration.
  • Lightroom Classic plug‑in for seamless in‑software keywording.
  • API access for automated and scalable tagging workflows.
  • 15+ languages supported for global metadata needs.

Pros & Cons

Pros:

Export metadata in IPTC/XMP/EXIF formats.

Credits don’t expire after purchase.

Paid plans are pay‑as‑you‑go credits.

Custom context control improves tag relevance.

Speeds tagging vs manual metadata work.

Cons:

Requires internet connection for use.

Free credits limited to small batches.

Unusual or niche content may mis‑tag.

Doesn’t edit photos only metadata.

PhotoTag.ai Reviews

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