This free online AI prompt cleaner is specifically designed for the AI era, helping developers and professionals sanitize text before pasting it into ChatGPT, Claude, Gemini, Copilot, or any large language model. It strips personally identifiable information (PII), API keys, Bearer tokens, URLs, code comments, and excessive whitespace — then estimates the token count so you know the cost before you send.
Step-by-Step
Paste your text — Copy the code, log file, document, or data you want to send to an AI assistant.
Review the cleaned output — The tool shows the sanitized text with a summary of what was removed.
Check token count — See the estimated GPT-4 token count for both the original and cleaned text to understand cost savings.
Copy and paste — Copy the cleaned prompt and paste it safely into your AI tool of choice.
Features
PII removal — Detects and replaces email addresses, phone numbers, IP addresses, and credit card numbers with placeholder tokens like [EMAIL], [PHONE], [IP], and [CARD].
API key detection — Identifies common API key formats (AWS, Stripe, GitHub tokens, generic key patterns) and Bearer tokens, replacing them with [API_KEY] or [BEARER_TOKEN].
URL stripping — Removes or masks URLs that might contain sensitive query parameters, session tokens, or internal endpoints.
Code comment removal — Strips single-line (//) and multi-line (/* */) comments that often contain developer names, TODO notes, or internal references.
Whitespace normalization — Collapses excessive blank lines and trailing spaces to reduce token waste.
Auto-structure mode — Adds clear formatting with section headings and bullet points to make your prompt more effective for AI consumption.
Token count estimation — Approximates GPT-4 token usage for both original and cleaned text using the ~4 characters per token heuristic.
Client-side processing — All cleaning happens in your browser. Your text is never sent to any server.
Common Use Cases
Safe AI Code Review — Before asking ChatGPT or Claude to review your code, strip API keys, database connection strings, internal URLs, and developer comments that might leak sensitive information.
Log File Analysis — Clean server logs by removing customer IP addresses, email addresses, and session tokens before asking an AI to analyze error patterns or suggest fixes.
Support Ticket Processing — Sanitize customer support tickets by removing personal details before using AI to categorize issues, draft responses, or extract trends.
Document Summarization — Before asking an AI to summarize internal documents, strip employee names, phone numbers, and confidential references that shouldn't leave your organization.
Prompt Cost Optimization — Use the token counter and whitespace normalization to reduce prompt size, saving money on API calls to GPT-4, Claude, and other token-priced AI services.
Tips for Power Users
- Always enable PII removal and API key detection when working with production code or real data — even a single leaked API key can compromise your infrastructure.
- Auto-structure mode can improve AI response quality by presenting your prompt in a clear, organized format that LLMs process more effectively.
- The token count estimation helps you stay within context window limits (8K, 32K, 128K) and estimate costs before making expensive API calls.
- Combine this tool with the Data Sanitizer for maximum protection when working with highly sensitive text.
- Review the cleaning summary to verify all sensitive data was caught — regex-based detection covers common patterns but may miss custom formats.
Why This Tool Is Unique
No other developer tool site offers an AI-specific prompt cleaner with token estimation. As AI tools become part of every developer's daily workflow — from code generation to debugging to documentation — sanitizing prompts is essential for security, privacy, and compliance. This tool fills a critical gap that traditional developer utilities don't address. Everything runs client-side in your browser, so your sensitive data never touches a third-party server.