mazzzystar/Queryable
Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos. observed · 2026-08-28
Health v2 · maintenance only
62/100
- Activity 74
- Release rhythm 35
- Longevity 82
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1152
- days_rel: n/a
- days_push: 157
- n_releases_24m: 0
Adoption not part of the score
2977 stars · 452 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Queryable is an open-source iOS app that runs Apple's MobileCLIP (formerly OpenAI's CLIP) entirely on-device to search your photo album with natural language descriptions. All indexing and search happen offline, so photos never leave the device.
Use cases
- find photos by natural language description on iphone
- search photo album offline with text like 'a brown dog on a bench'
- run CLIP model on iOS for semantic photo search
- private on-device photo search without uploading to cloud
- search photos in non-English languages on device
- build an image embedding index of an iOS photo library
When to choose
- you want privacy-preserving, fully offline natural-language photo search on iPhone or Mac
- you want a reference implementation of running CLIP/MobileCLIP on-device with Core ML
- you prefer a one-time purchase app with open-source code
When to avoid
- you need photo search on Android or web (see the companion PicQuery project for Android)
- you need server-side or cloud-scale image search across large datasets
- you need a reusable library or SDK rather than a standalone app
Facets
application · maturity active
search-engine machine-learning image-processing nlp machine-learning image-processing privacy mobile-development clip mobileclip semantic-search photo-search offline swiftui natural-language-image-search on-device-ai ios macos swift
2 sources
- readme: https://github.com/mazzzystar/Queryable · fetched 2026-08-28 · 2ad29ff5fa19
- homepage: https://apps.apple.com/app/id1661598353 · fetched 2026-08-29 · 67ee444a000e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mazzzystar/Queryable | main | 62 |
For agents
markdown · JSON · MCP: product_card(name="mazzzystar/Queryable")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem