Launching today

Tag Your Photos

Launching today

AI-powered keywords for Apple Photos, 100% on your Mac

31 followers

AI-powered keywords for Apple Photos, 100% on your Mac

31 followers

Most AI photo taggers upload your images to the cloud or bolt on as a separate tool. Tag Your Photos doesn't: -100% on-device (Gemma 4 12B via Apple MLX) — no cloud, no upload - Works directly on your Photos library — no exporting, no duplicates - Keywords land in Spotlight system-wide — searchable right from the iPhone/iPad home screen, not just inside the app - Stays general when unsure — no falsely specific guesses

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Launch tags:Photography•Artificial Intelligence•Apple

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Tag Your Photos

Maker

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Hey Product Hunt 👋 I'm Maik, an indie developer building macOS apps around local, on-device AI. Tag Your Photos actually started with a question from a user in r/ApplePhotos — they were looking for something like this for Apple Photos specifically. That question gave me the idea, and the sense that there might be real demand for it, so I built it. It's the sibling app to my other project, Photo Assisted Keywords (PAK), which does the same AI keyword tagging for stock photographers working with folders and sidecar files. TYPh takes the same idea and wires it directly into your Apple Photos library — no exporting, no cloud, nothing leaves your Mac. It runs Gemma 4 12B locally via Apple MLX, and the keywords it writes are searchable system-wide through Spotlight, even from your iPhone/iPad home screen. I'd love to hear what you think, and I'm around all day to answer questions — technical or otherwise. 🙏

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16h ago

7.9 GB download size! Is that because it runs a fully embedded local Vision Model natively on-device? Love that it keeps everything 100% offline and private!

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4h ago

Tag Your Photos

Maker

@zeo81 Exactly right! The download includes Gemma 4 12B (5-bit quantized), running fully on-device via Apple's MLX framework — no separate model download after install, no cloud calls, ever. It's the trade-off for the "nothing leaves your Mac" part: a real, capable vision model bundled right in the app instead of a lightweight wrapper around an API. Glad that resonates. 🙏

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3h ago

@madaschi Hope more people will like it!

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3h ago

Tag Your Photos

Maker

@zeo81 Thanks, appreciate it! 🙏

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3h ago