Paste locally
Place the smallest useful excerpt into CleanShare instead of sending the original directly to an AI service.
Built for freelancers, consultants, support teams, and careful AI users
Clean common identifiers and secrets in your browser first, then paste only the context the AI task actually needs. No account, analytics, or server-side text processing.
A useful prompt can quietly include a customer email, phone number, case reference, IP address, payment-card value, or secret copied from the original material. Removing those details before the prompt leaves your device reduces unnecessary exposure while preserving the problem you need help solving.
CleanShare is a preparation aid. Review the result before you paste, upload, or send it.
Place the smallest useful excerpt into CleanShare instead of sending the original directly to an AI service.
Enable the relevant detectors and add exact names, organizations, projects, or phrases as custom terms.
Check placeholders, remove extra context, and make sure unusual identifiers were not missed.
Copy the sanitized text into your chosen AI tool. CleanShare never connects to it.
These examples are synthetic. Consistent placeholders keep the task understandable.
Email Morgan at morgan@example.com about case 246-80-1357.Email [CUSTOM_1] at [EMAIL_1] about case [SSN_1].The staging key is sk_live_xR8rP7eM5vQ2nL9z.The staging key is [SECRET_1].The free demo is designed for short pasted text. CleanShare Pro adds local TXT, Markdown, CSV, JSON, and log-file workflows, multiple-file processing, reusable rule packs, and downloadable results.
No. The free demo performs matching and replacement in your browser and has no endpoint for receiving your text. You copy the reviewed result to the AI tool yourself.
No. Pattern matching can miss unusual formats and context-dependent identifiers, and it can flag harmless text. Add exact custom terms and review every result before sharing.
No. CleanShare is a preparation aid, not legal advice, a compliance certification, or a substitute for an organization's approved data-handling process.