Redactify – macOS/iOS app to redact sensitive data before using LLMs
Hi HN, I built Redactify, a native macOS app that automatically scrubs sensitive personal and financial data, faces, and metadata from documents and images. The motivation: I frequently use Claude and ChatGPT to analyze invoices and contracts, but I hated the friction of sanitizing them first. I also didn't want to blindly trust the "we don't train on API data" promises of model providers when dealing with actual client data. How it works under the hood: Redactify flattens the document and permanently destroys the underlying text and EXIF metadata. It runs entirely on-device using Apple's…
What it does
In the maker’s words, at launch
Hi HN, I built Redactify, a native macOS app that automatically scrubs sensitive personal and financial data, faces, and metadata from documents and images. The motivation: I frequently use Claude and ChatGPT to analyze invoices and contracts, but I hated the friction of sanitizing them first. I also didn't want to blindly trust the "we don't train on API data" promises of model providers when dealing with actual client data. How it works under the hood: Redactify flattens the document and permanently destroys the underlying text and EXIF metadata. It runs entirely on-device using Apple's native Vision framework for OCR and CoreML for face detection. App Store: https://apps.apple.com/app/id6760609039 I'd love to hear your thoughts and wishes on the approach. Also, if you know of any nasty PDF edge cases (weird encodings, hidden layers) I should test against, please let me know! The possibility to clean your clipboard automatically for LLM Apps (Gemini, ChatGPT, Claude..) is currently in the Appstore review!
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