Search by meaning, not exact words. Tagga understands the feeling, mood, and context of every photo — so a search like "cozy morning with coffee" actually works.
No setup fee. Cancel anytime.
Keyword search only finds a photo if it was labeled with that exact word. Semantic search understands what you mean and matches photos on meaning, mood, and context instead.
"Photos that feel like summer" or "cozy indoor moments" return real, relevant results.
You don't have to guess whether a photo was tagged "party" or "celebration" — describe it your way.
Combine a semantic query with date, person, or rating filters to narrow results further.
None of these photos are tagged "cozy" or "winter" — matched by mood and content.
Every file joins your archive the moment it finishes uploading.
Description, mood, and context are captured — not just a list of keywords.
Search by feeling or context and get matches even without the exact words.
It's search that matches meaning instead of exact words. Instead of only finding photos tagged with the precise word you typed, it finds photos whose content and mood match what you described.
Keyword search requires the exact term to appear in a tag or filename. Semantic search understands related ideas and context, so "cozy winter evening" can match a photo that was never tagged with any of those words.
Yes — layer a semantic query with date, person, rating, or mood filters to narrow results further.
No. Every photo is analyzed automatically on upload, so semantic search works across your whole archive from day one.
Semantic photo search is included in every Tagga plan.
See pricing