Count tokens for GPT-4, Claude, Gemini and more. Paste any text or entire documents to see exact token usage before sending to an AI model.
Convert large JSON datasets into clean, token-efficient AI prompts. Perfect for feeding structured data to ChatGPT, Claude, or Gemini without wasting context.
Transform CSV files and large tabular datasets into AI-ready prompts. Control which columns to include, row limits, and output format to stay within token budgets.
Generate professional system prompts for AI assistants, chatbots, and agents. Choose persona, tone, domain, and constraints to produce a production-ready system prompt instantly.
Calculate whether your text fits within any AI model's context window. Compare token usage across GPT-4o, Claude 3.5, Gemini 1.5 Pro, Llama 3, and more.
Compare GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3, Mistral, and more side-by-side. Context window, pricing, strengths, speed, and best use cases.
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Structure your prompts with proven engineering principles. Toggle sections on/off, fill in what you need, and copy a production-ready prompt in seconds.
Role first, always
Starting with a specific expert persona consistently improves output quality — even for simple tasks.
Examples beat instructions
Showing 2–3 input/output examples is more reliable than describing the format in words.
Watch your token budget
Each section adds tokens. Use the token counter to ensure your full prompt + data fits the model's context window.
Constraints matter
Telling the AI what NOT to do (no jargon, no bullet points, no markdown) prevents common output issues.