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Stop wasting hours manually tagging photos! Photo Assisted Keywords is a native macOS app that brings the power of AI directly to your Mac. By leveraging a local 12B parameter model via Apple’s MLX framework, it analyzes your RAW files on-device—no cloud uploads, no privacy risks, and absolutely no subscriptions. It automatically generates precise metadata and writes standard XMP sidecar files that sync instantly with professional catalogs like Capture One and Lightroom.
Hi Product Hunt! 👋 I'm Maik, the solo developer behind Photo Assisted Keywords.
For years, coming home from a long photo walk with my Sony Alpha 7R II meant one thing: hours of agonizing, manual data entry. Staring at hundreds of massive RAW files and typing "architecture," "summer," or "pedestrian" into Capture One was killing my creative energy. I wanted an AI to do this, but I completely refused to upload my massive, uncompressed RAWs to any cloud service or pay a monthly subscription for it.
So, as a passionate "tiny old Xcoder" closing in on 63, I decided to build the solution myself.
Photo Assisted Keywords leverages Apple's MLX framework to run a massive 12-Billion parameter AI model (Gemma) entirely locally on Apple Silicon.
Here is what it does:
Local RAW Processing: It analyzes heavy formats (ARW, CR3, NEF, DNG, etc.) directly on your Mac. No cloud, 100% privacy.
Smart Context: It grabs EXIF data (time/date) to give the AI context (e.g., knowing it's "sunset" in "summer").
Lightning Fast "Fuzzy" Logic: It detects similar images in burst shots and instantly copies keywords to save massive amounts of compute time.
Pro Workflow Ready: It writes standard XMP sidecar files (Dublin Core & Lightroom schemas) that instantly sync with Capture One, Lightroom, or Photo Mechanic.
Building this pushed me to my limits, and getting a personal congratulatory email from Tim Cook for this very app back in May was a surreal moment I’ll never forget.
I built this to get my creative time back, and I hope it helps you do the same. If you want a deeper look at the tech behind the local MLX integration, check out the YouTube link in the gallery!
I’ll be here all day to answer your questions and talk about Mac development, AI, and photography! 📸
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About Photo Assisted Keywords on Product Hunt
“100% Local AI Auto-Tagging for RAW Photos on Mac”
Photo Assisted Keywords was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #160 on the daily leaderboard. Stop wasting hours manually tagging photos! Photo Assisted Keywords is a native macOS app that brings the power of AI directly to your Mac. By leveraging a local 12B parameter model via Apple’s MLX framework, it analyzes your RAW files on-device—no cloud uploads, no privacy risks, and absolutely no subscriptions. It automatically generates precise metadata and writes standard XMP sidecar files that sync instantly with professional catalogs like Capture One and Lightroom.
Photo Assisted Keywords was featured in Mac (103.6k followers), Photography (143.1k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 126k products, making this a competitive space to launch in.
Who hunted Photo Assisted Keywords?
Photo Assisted Keywords was hunted by Maik David. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Photo Assisted Keywords stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Maik David