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SCM searches local photos and video frames with vision, OCR, and speech models

github.com 8 min read Editor score 6/10

SCM indexes local media for semantic, scene, OCR, and spoken-dialogue searches, using local inference and background re-embedding. Its combined multimodal pipeline and offline design are useful patterns for engineers building private AI applications.

What

SCM is a local-first macOS app for searching photos and video frames with vision, OCR, speech, and optional local chat.

How

It uses a vision model for semantic search, Tesseract for visible text, and Whisper for spoken dialogue; watched folders auto-import.

Why it matters

Local processing keeps media on the Mac, while scene search can take engineers directly to a matching video moment.

Read on github.com → Hacker News · 67 comments

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