Local AI PII blurring for screen shares

What to build

A browser extension for Firefox/Safari (or enterprise-managed Chrome) that runs a free, open-source local AI model via WebGPU to auto-detect and blur unstructured PII (names, addresses) during screen shares on Zoom, Teams, or Meet — targeted at compliance-sensitive teams in healthcare, legal, or customer support that the generic Show HN tool doesn't address.

A Show HN tool proved local-AI PII blurring works in-browser via WebGPU; a solo builder can win a narrower slice by targeting compliance-sensitive verticals or unsupported browsers instead of the general use case.

Demand

Privacy and compliance teams in healthcare, legal, and customer support routinely screen-share with sensitive data visible, and no major platform natively redacts PII in real time, making this a now-or-never window before Zoom, Teams, or Meet ship it themselves.

• Hacker News (Show HN)Product launch

  Show HN: Smart Blur – Auto-Blur PII in the Browser, with a OpenAI Local Model — 6 points, 4 comments on HN.

• Signal metadataSignal score

  Signal scored 0.56 with no historical match found, indicating a novel, emerging opportunity area rather than a saturated trend.

Stack

• WebGPU
• ONNX Runtime Web
• Chrome/Firefox WebExtensions API
• Apache-2.0 local PII detection model
• Stripe for licensing
• Plasmo (extension framework)

Solo + AI difficulty

Hard part is tuning real-time inference speed and accuracy across devices/browsers without a server; porting to Firefox/Safari extension APIs and manifest differences also takes real effort. Packaging the UI and blur overlay is easy with AI help. Rough time-to-MVP for one person: 3-5 weeks for a single-vertical or single-browser version.

Entry threshold

Low barrier: the underlying model is free and permissively licensed, Chrome Web Store distribution costs little, and in-browser WebGPU inference is already proven by this very extension, so a solo developer could ship an MVP in one to three weeks, but they would be entering a market that already has several regex-based blur tools.

Window

6-12 months

Where to find first users

• Show HN / Product Hunt launch
• Healthcare IT and legal ops communities (r/healthIT, legal tech Slack groups)
• Direct outreach to customer support teams via LinkedIn
• Firefox/Safari extension store listings

Competitors

• Smart Blur

Counter-signals & risks

• Running local AI inference for real-time PII detection via WebGPU may have inconsistent performance or accuracy across devices and browsers, leading to missed PII detections (false negatives) that undermine compliance claims.

• Large incumbents (Zoom, Microsoft Teams, Google Meet) could ship native blur/PII-redaction features directly into their platforms, eliminating the need for a third-party extension.

• Regulated verticals (healthcare, legal) may require formal compliance certifications (e.g., HIPAA attestations) or audit trails that a lightweight browser extension cannot easily provide, limiting enterprise adoption.