Library/Queryable
Library/QueryableForked

mazzzystar/Queryable

Queryable

Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos.

Builder

mazzzystar

mazzzystar

mazzzystar • individual

Stars

2,931

Using upstream star count

Forks

451

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jul 9, 2023

Project creation date

README Summary

Queryable is an iOS app that enables users to search through their photo library using natural language queries by running OpenAI's CLIP and Apple's MobileCLIP models locally on device. The app provides offline photo search capabilities without requiring internet connectivity or sending images to external servers. It leverages Core ML to run machine learning models directly on iOS devices for privacy-focused image search.

AI Dev Skills

Unmapped

Vision-Language ModelsCLIP ArchitectureMobile AI DeploymentiOS Machine LearningSemantic SearchComputer VisionCross-modal RetrievalOn-device Inference

Tags

Vision-Language ModelsCLIP ArchitectureMobile AI DeploymentiOS Machine LearningSemantic SearchComputer VisionCross-modal RetrievalOn-device InferenceMultimodal ReasoningPhoto Library SearchPersonal ProductivityNatural Language Image RetrievalMultimodalImageMobile ApplicationsEdge ComputingEdge/MobileOffline Image SearchOn-device AIPhotographyPersonal Media OrganizationPrivacy-Preserving AITextConsumer TechnologySwift

Taxonomy

Recent Activity

Updated 1 years ago

7 Days

0

30 Days

0

90 Days

0

Quality

prototype
Quality
medium
Maturity
prototype

Categories

Inference & ServingPrimaryNLP & TextRAG & RetrievalEvals & BenchmarkingMultimodal AIEdge & Mobile AISearch & KnowledgeOther AI / MLComputer VisionRoboticsFoundation Models

PM Skills

Scale & ReliabilityCost & Efficiency

Languages

Swift100.0%

Timeline

Project created
Jul 9, 2023
Forked
Mar 13, 2026
Your last push
1 years ago
Upstream last push
15 days ago
Tracked since
Jan 4, 2025

Similar Repos

pgvector cosine similarity · $0

Loading…