Token Optimizer
Reduce token usage and API costs by optimizing your prompts without losing meaning.
Original Text
~67 tokensOptimized Text
💡 Token Optimization Best Practices
Remove Politeness in System Prompts
Models don't need 'please' or 'thank you'. Be direct and save tokens.
Instead of "Please analyze this text", use "Analyze this text"
Use Abbreviations
Use common abbreviations where context is clear.
Use "info" instead of "information", "docs" instead of "documents"
Eliminate Redundancy
Don't repeat the same instruction in different ways.
Instead of "Please help me understand and explain", use "Explain"
Use Bullet Points
Lists use fewer tokens than prose for multiple items.
Use '- Item 1\n- Item 2' instead of 'Item 1 and Item 2'
Direct Commands Over Questions
Use imperative mood instead of questions in prompts.
Use "List the benefits" instead of "Can you list the benefits?"
Remove Hedging Language
Avoid qualifiers that don't add value.
Use "This is important" instead of "This might be somewhat important"