Framea
Search your Photos, Videos and Media with Natural Language.
Framea is a searchable media cloud for your photos and videos. Instead of scrolling through thousands of files to find one moment, you just type what you remember a place, a person, a color, a feeling and Framea finds it. No folders. No albums. No tagging. Built for iOS.
Features
- Search your photos and videos by typing what you remember
- Works across your entire library like photos, videos, screenshots, clips
- No manual tagging, albums, or folders required
- Private cloud storage for your media
- Fast results, even on large libraries
- Built for iOS
Use Cases
- Find a specific photo in seconds by describing what's in it. A red dress, a beach sunset, your dog on the couch. No scrolling through thousands of images.
- Creators pulling B-roll or reference shots from months of footage without naming, tagging, or organizing anything.
- Locating an old screenshot (a receipt, a ticket, a Wi-Fi password, a message) by typing what you remember.
- Resurfacing memories by feeling or moment ("birthday with mom", "that trip to Goa") instead of scrolling through date-sorted albums.
- Finding a video clip by what happens in it, not by filename or date.
- Replacing folders, albums, and manual tagging with one search bar across your entire photo and video library.
Comments
This platform makes it incredibly easy to find photos, videos, and media using natural language. Instead of digging through folders, you can simply describe what you’re looking for and get accurate results instantly. It’s a smart, time-saving solution that makes managing large media libraries feel effortless.
The natural language search approach for media is genuinely clever - "sunset at the beach" is so much more intuitive than folders and albums. The iOS-first decision makes sense given how most people actually capture memories. Would love to see this expand to team or shared libraries - content creators and ecommerce brands managing large product photo libraries would find this incredibly useful. How does the search handle non-English queries?
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Comments
This platform makes it incredibly easy to find photos, videos, and media using natural language. Instead of digging through folders, you can simply describe what you’re looking for and get accurate results instantly. It’s a smart, time-saving solution that makes managing large media libraries feel effortless.
The natural language search approach for media is genuinely clever - "sunset at the beach" is so much more intuitive than folders and albums. The iOS-first decision makes sense given how most people actually capture memories. Would love to see this expand to team or shared libraries - content creators and ecommerce brands managing large product photo libraries would find this incredibly useful. How does the search handle non-English queries?
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