ashvardanian/SwiftSemanticSearch
Real-time on-device text-to-image and image-to-image Semantic Search with video stream camera capture using USearch & UForm AI Swift SDKs for Apple devices 🍏
This tool helps iOS app developers build on-device search experiences for images and video feeds. It takes in live camera input or existing image datasets and allows users to find similar images using text descriptions or other images, all in real-time. It's designed for developers creating robust AI-powered features for Apple devices.
149 stars. No commits in the last 6 months.
Use this if you are an iOS developer needing to integrate real-time, on-device semantic search for images and video into your Apple applications.
Not ideal if you are looking for a pre-built end-user application, as this is a developer's toolkit.
Stars
149
Forks
11
Language
Swift
License
—
Category
Last pushed
Dec 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/ashvardanian/SwiftSemanticSearch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ssrajadh/sentrysearch
Semantic search over videos using Gemini Embedding 2.
hayabhay/frogbase
Transform audio-visual content into navigable knowledge.
zilliz-bootcamp/audio_search
This project use PANNs for audio tagging and sound event detection, and finally get audio...
kyegomez/Pegasus
PegasusX: The Future of Multimodal Embeddings 🦄 🦄
tomfalainen/word_spotting
Semantic and Verbatim Word Spotting in Torch