ClipNText
Search tools...
Blog About
100% Local / Zero Upload

Prompt Privacy & PII Scrubber for AI Tools

Mask API keys, Bearer tokens, emails, phone numbers, and IPv4 addresses before submitting to ChatGPT or Claude.

AI Tuning:
Enter Text or Transcript
Words: 0 Characters: 0
Sanitized Output
● Live Engine (Ready)
Words: 0 Characters: 0
0 lines • 0 words • 0 characters
0 items detected • 0 chars saved
DEVELOPER CLI & REGEX
One-Line Terminal & Code Equivalents
const cleaned = text.replace(/(?:sk-[a-zA-Z0-9_-]{20,}|(?:Bearer\s+)[a-zA-Z0-9._-]{20,})|[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}|\b(?:\d{1,3}\.){3}\d{1,3}\b/g, '');
LLM TOKEN TELEMETRY
Context Window & Token Economics
OpenAI o200k_base & Claude 3.5
23.4% Reduction Formatting Bloat Excised
~16 Tokens Saved Context Window Budget
< 15ms Latency Client Web Worker Speed
0 Bytes Transferred 100% In-Browser Privacy
Target Model:
Est. Savings: $0.00 / 1k queries
Deterministic Preservation: Code blocks, LaTeX math ($...$), Markdown data tables, and ISO-8601 timestamps are strictly preserved.
HOW IT WORKS

Deterministic Sanitization Specification & Live Diff

Character-level comparison between authentic platform input and sanitized output:
Original Messy Input (Delimiters Highlighted)
Please debug this issue for user support@example.com connecting from 192.168.1.45 with API key sk-proj-abc123456789XYZ12345.
Deterministic Sanitized Output (Clean)
Please debug this issue for user [REDACTED] connecting from [REDACTED] with API key [REDACTED].
Quick Summary

How to Clean Prompt Privacy & PII Scrubber for AI Tools Online

ClipNText Prompt Privacy & PII Scrubber for AI Tools is a client-side text sanitizer that strips Exposed Secrets & Personally Identifiable Information (PII), orphaned delimiters, and syntax clutter from ai. Executing locally via asynchronous browser Web Workers (scrub.worker.js), the utility processes multi-megabyte payloads in under 15 ms without transmitting sensitive prompt data to external servers. Sanitizing formatting noise reduces downstream API context window consumption by 18% to 52% while preserving code blocks, citations, and table structures for clean documentation or RAG ingestion.

Target Artifact Regex / Pattern Signature Sanitization Behavior
Please debug this issue for user support@exam /(?:sk-[a-zA-Z0-9_-]{20,}|(?:Bearer\s+)[a-zA-Z0-9._-]{20,})|[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}|\b(?:\d{1,3}\.){3}\d{1,3}\b/g Developers accidentally paste production logs containing API keys, private IPs, or customer emails into public AI chat windows.
Please debug this issue for user [REDACT ​ /[ \t]{2,}|\u200B/g Collapses redundant whitespace and purges invisible zero-width tokens.
Anatomy of the Artifact

Exposed Secrets & Personally Identifiable Information (PII)

Developers accidentally paste production logs containing API keys, private IPs, or customer emails into public AI chat windows.

Deterministic Pattern / Regex Applied: /(?:sk-[a-zA-Z0-9_-]{20,}|(?:Bearer\s+)[a-zA-Z0-9._-]{20,})|[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}|\b(?:\d{1,3}\.){3}\d{1,3}\b/g
Sponsored Utilities Developer & Creator Ecosystem
Cloud CDN
Edge Compute Host
Deploy static applications globally with sub-millisecond edge latency and zero server overhead.
Transcription
Creator Audio Studio
Automated speech-to-text and subtitle generator with 99.4% multi-language transcription accuracy.
SEO Analytics
SERP Intelligence Suite
Monitor zero-click keyword shifts, search intent vectors, and AI Overview citation appearances.
Dev API
High-Speed Vector DB
Sub-millisecond semantic retrieval engine optimized for documentation and technical knowledge bases.

Recommended Next Steps in Workflow

Continue your text sanitization pipeline with related tools in this cluster and downstream workflow actions:

LLM LLM & Generative AI Sanitizers
Remove ChatGPT Markdown Formatting & Asterisks

Strip bold asterisks, headers, horizontal dividers, and conversational markdown clutter from OpenAI ChatGPT outputs in 1 click.

Open Workbench →
LLM LLM & Generative AI Sanitizers
Strip Perplexity Citations, Footnotes & Brackets

Purge bracketed source citations like [1], [2][4], and source chips from Perplexity AI answers for clean publishing.

Open Workbench →
LOG ai
GitHub Copilot Chat Code & Diff Cleaner

Strip '### filepath:', code fences, and conversational explanations to extract pure, runnable code.

Open Workbench →
LLM LLM & Generative AI Sanitizers
Remove Zero-Width Spaces & Invisible Characters from AI Text

Scrub hidden Unicode characters (U+200B, U+200C, U+200D, U+FEFF, and non-breaking spaces) from LLM text.

Open Workbench →
LLM LLM & Generative AI Sanitizers
Clean Claude Markdown & Artifacts to Plain Text

Convert Anthropic Claude artifacts, bullet points, headers, and code backticks into clean clipboard prose.

Open Workbench →
LLM LLM & Generative AI Sanitizers
NotebookLM Transcript & Study Notes Cleaner

Clean Google NotebookLM study guide exports, source reference markers, and audio podcast transcripts into unified summaries.

Open Workbench →
Browse all 32 ai tools in Directory →
Also try our Video & Document Tools
From subtitle converters to PDF line-fixers, explore 150+ free browser utilities.
Browse All Tools →
Edge Cloud Infrastructure
Zero-Compute Global Application Hosting & Serverless Workers
Explore Platform →

Technical Edge-Case FAQ

Common engineering questions regarding character preservation, encoding boundaries, and browser worker performance:

Why does Prompt Privacy & PII Scrubber for AI Tools occur in conversational AI outputs?
Large language models format text in Markdown syntax for rendering inside chat web interfaces. When copy-pasted into professional documents, raw asterisks (**bold**), hashes (###), and footnote chips remain as unwanted syntax clutter.
What are invisible zero-width spaces (U+200B) and why do LLMs generate them?
Zero-width spaces (U+200B), non-breaking spaces (U+00A0), and byte-order marks (U+FEFF) are frequently inserted during token generation or clipboard copying. While invisible on screen, they disrupt word counts, code compilers, and search indexing.
How does ClipNText preserve code blocks while removing general markdown?
Our regex pipeline preserves the internal code indentation and text within triple-backtick code blocks while stripping outer conversational markdown hashes, bold asterisks, and blockquote chevrons.
Can I remove citation brackets without corrupting bracketed numbers in math or code?
Yes. ClipNText targets citation patterns (e.g. [1], [2][3], 【4†source】, [Source 1]) specifically without stripping array index notation or mathematical formulas.
Action completed