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Lokka: Offline AI photo library search

Search and chat with your photos and videos. 100% on-device.

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This is 1 of 160 launches in ai virtual try-on and styling — see how it stacks up on momentum and crowding →

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Details

External ID
1270571
Source
PH
Company
—
Product
Lokka: Offline AI photo library search
Website domain
producthunt.com
Launched
Oct. 6, 2026
Cohort
—
Upvotes
3
Upvotes percentile
0.8987138263665595
Tags
Productivity, Photography, Tech
Fetched at
Oct. 6, 2026, 5 p.m.
Updated at
Oct. 6, 2026, 5 p.m.

Description

Lokka finds any photo or video from a plain description. Type "receipt from a restaurant" or "dog running on the beach at sunset" and it finds it, even among thousands of photos. You can also chat with your library, like "show me whiteboard notes from meetings" or "find screenshots of flight bookings." An AI vision model runs entirely on your iPhone, so it understands what's in each picture. No cloud, no account, no uploads. Your photos never leave your device.

Enrichment

Niche
ai virtual try-on and styling
Vertical
Media & entertainment
Function
Search & retrieval
Audience
B2C
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
on-device ai search for personal photo libraries
Manually corrected
False

Could you build this?

Partial The UI and basic integration are standard, but running high-accuracy offline multimodal search and local LLM chat smoothly on-device across thousands of photos/videos requires platform-specific ML hardware acceleration.

What it would actually take: The implementation relies on desktop/mobile frameworks (Electron/Tauri or native Swift) integrating CoreML/ONNX Runtime to execute quantized CLIP models for image embeddings and Whisper for video audio transcription locally. The bottleneck is building an optimized local vector database (such as SQLite-vec or HNSWlib) and managing local memory/compute constraints so background indexing doesn't freeze the host machine.

Competitors

Other products that read as similar to this one — 104 launches clear the similarity bar, closest 8 shown.

Attention rank: #12 of 105 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 234 days after the earliest competitor.

Other launches for this product