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PicPick

AI-powered photo curator using CLIP and face recognition

Details

External ID
46270340
Source
HN
Company
—
Product
PicPick
Website domain
github.com
Launched
Dec. 15, 2025
Cohort
—
Upvotes
5
Upvotes percentile
0.10400763358778627
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Hey HN! I built this after my wedding left me with 5,000 photos to sort through.The key insight: most photo sorting time is spent reviewing near-duplicates. Professional photographers shoot in bursts, so you get 10+ shots of the same moment.PicPick uses CLIP embeddings to cluster visually similar photos, then adds face recognition to keep groups coherent (so you don't mix up "bride with parents" and "bride with friends" just because they look similar).Tech stack: - CLIP for semantic similarity (not just perceptual hashing) - face_recognition (dlib) for person detection - DBSCAN clustering on combined features - FastAPI + vanilla JS for the UI - SQLite for everythingIt reduced my review set from 5,000 → ~1,000 clusters, which I then filtered down to 300 for the album in a few hours instead of days.The clustering parameters are tunable - tighter for professional shoots with many duplicates, looser for casual photos.Open to feedback! Especially around: 1. Better clustering algorithms (currently DBSCAN on CLIP embeddings + timestamps + face vectors) 2. UI improvements for rapid reviewing 3. Handling photos without faces (landscapes, food, etc.)Works entirely offline, no cloud uploads needed.

Enrichment

Theme
AI avatar and portrait tools
Vertical
Horizontal
Function
Content generation
Audience
B2C
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
ai photo curation using computer vision
Manually corrected
False

Could you build this?

Yes The project combines existing open-source ML models (CLIP embeddings and facial recognition libraries) with standard clustering algorithms (DBSCAN/k-means) in a Python or desktop UI.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 123 launches clear the similarity bar, closest 8 shown.

Attention rank: #119 of 124 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 47 days after the earliest competitor.

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