Redact

Redact
redact.clearformlabs.comA privacy guard browser extension for LLM chats, catching credentials and PII locally.

Redact
redact.clearformlabs.comA privacy guard browser extension for LLM chats, catching credentials and PII locally.
A privacy guard browser extension for LLM chats, catching credentials and PII locally.
redact.clearformlabs.comMomentum rises when people search, view, like, share, claim, or save this profile.
Redact is a browser extension that intercepts pasted content into popular LLM chat interfaces like ChatGPT, Claude, and Gemini. It uses an on-device neural network to scan for credentials and Personally Identifiable Information (PII) in about 150 milliseconds. Users can then decide to block, warn, send a redacted version, or send the original, ensuring sensitive data doesn't leave their device. The tool is free, open source, runs entirely locally without network calls or telemetry, and is auditable on GitHub.
Individuals and professionals who use large language model (LLM) chat services and are concerned about accidentally leaking sensitive information or PII during their interactions.
Redact addresses a critical and growing privacy concern for anyone using LLMs, offering a robust, on-device solution that builds trust through its open-source nature and 'no telemetry' policy. Its seamless integration with major chat platforms and local processing makes it a compelling and timely tool for data security in the age of AI.
AI-assisted scores estimated from public website information only.
Redact is a highly polished, genuinely useful tool that solves a significant and growing privacy problem for LLM users. Its on-device processing and open-source nature build strong trust. The $75,000 estimate reflects the strong product execution, clear market need, and high utility. However, the explicit 'free, open source' model with 'no telemetry' means there's no direct monetization path for Redact itself, capping its standalone business valuation despite its impressive technical merits and market relevance.
Valuation date: 2026-06-05. Estimate generated from public signals.
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