🤖 AI Text Cleanup

Clean Text for ChatGPT & AI

Remove markdown, emojis, and formatting noise. Normalize bullet points and estimate tokens. Get cleaner, more effective AI prompts.

Paste the text you want to clean for AI prompts...

Cleanup Options

Quick Presets

Common Use Cases

📋 Clean Copied Text

Before:
# **Important** Notes 🎉
• First point
  → Nested detail
Extra    spaces
After:
Important Notes
- First point
- Nested detail
Extra spaces

📝 Clean Code Comments

Before:
// TODO: fix this 🐛
/* Complex **logic** here */
#### Important section
After:
TODO: fix this
Complex logic here
Important section

Why Clean Text for AI?

Large Language Models (LLMs) like ChatGPT, Claude, and Copilot work best with clean, structured text. Formatting noise can confuse the AI, waste tokens, and reduce response quality.

What Gets Cleaned

❌ Removed by Default:

  • • Markdown formatting (**, *, #, `)
  • • Emojis and special characters
  • • Extra whitespace and tabs
  • • Inconsistent bullet points
  • • Formatting artifacts

✅ What Stays:

  • • Your actual content
  • • Paragraph structure
  • • Simple bullet points
  • • Natural line breaks
  • • Meaning and context

Token Estimation

This tool provides a rough estimate of tokens using a 4-characters-per-token approximation. Actual token counts vary by model:

  • GPT-4: ~$0.03 per 1K tokens (input)
  • GPT-3.5: ~$0.002 per 1K tokens (input)
  • Claude: ~$0.01-0.08 per 1K tokens

Best Practices

  1. Clean text before pasting into AI chat
  2. Remove unnecessary formatting that adds tokens
  3. Keep structure (bullets, paragraphs) for clarity
  4. Use presets for specific AI models
  5. Check token count to optimize prompts

Works With All AI Platforms

🤖
ChatGPT
OpenAI
🧠
Claude
Anthropic
💼
Copilot
Microsoft
🔮
Gemini
Google

Frequently Asked Questions

Why should I clean text before sending to AI?

Removing formatting noise helps the AI focus on your actual content, saves tokens (= costs), and often produces better, more relevant responses.

How accurate is the token estimate?

The estimate uses ~4 characters per token, which is accurate within 10-20% for most English text. Different models tokenize slightly differently.

Will this work with any AI chatbot?

Yes! Clean text works better with all LLMs: ChatGPT, Claude, Copilot, Gemini, and others. The tool is model-agnostic.

What if I want to keep some formatting?

Use the "Minimal" preset or uncheck specific cleanup options. You have full control over what gets cleaned.