Show HN: Local personal data redaction for any AI tools
github.comI built the desktop app that detects and redacts personal data (or PII) locally without sending any text to server. It supports rule-based filtering and AI model-based redaction (eg openai privacy filter). It's open source and free. Please check out the repo and https://pii-gui.vercel.app/
Here are the benchmark results. You can check more details in the repo. openai/privacy-filter on Apple M1 Max
I would love to have an option where instead of just redaction; I'd love to swap it with something else when it goes to AI and then swap it back when the AI returns it. Thanks for sharing the github. I might submit a PR if I don't find that feature
I wanted to implement the feature initially. i realized that it requires modification of coding agents (eg codex, claude code, opencode etc). hook or skills pass PII data into server eventually so i decided to share the standalone app first. Feel free to submit a PR!
Nice, local is the right call. What's the local AI model — a small NER model bundled in, or calling out to something? Curious about the size/footprint for a desktop app.
It use openai/privacy-filter which is smaller than 1GB in size. I haven't checked usage during inference. It rans at 1k toks/sec on my macbook. I will update the repo with benchmark results. Thanks for the comment
Local is the way. Any benchmarks on latency it has on CPU?
I just ran the benchmark on my macbook. 582 ms for 1k tokens and 4.64 s for 8k