Free tools

Free Prompt Formatter

Turn rough prompts into clean, model-ready structures with deterministic formatting patterns.

Copy-paste outputs

Win high-intent buyers from ChatGPT, Gemini, Claude, Perplexity, and AI Overviews before your competitors do.

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Tool 01

Prompt Formatter

Turn rough prompts into model-ready formats for ChatGPT, Claude, Gemini, and structured workflows.

Prompt Formatter
Transform a raw prompt into cleaner, model-ready structures (generic, ChatML, Claude XML, Gemini style).
// Normalized prompt will appear here

How it works

Prompt Formatter: methodology and worked example

How this tool computes its result

normalizePrompt collapses \r\n to \n, trims every line, and removes consecutive blank lines, then four generators wrap that normalized text in different fixed scaffolds: "Structured" (ROLE/TASK/CONTEXT/CONSTRAINTS/OUTPUT FORMAT sections, where TASK is just the first line truncated to 80 characters), "ChatML" (<|system|>/<|user|>/<|assistant|> tags), "Claude XML" (<instructions><role><constraints><task> with each line indented), and "Gemini" style (SYSTEM INSTRUCTION / USER REQUEST / RESPONSE REQUIREMENTS). All four reuse the exact same generic role/constraint boilerplate text regardless of what the prompt is actually about.

Worked example

Input "Summarize this article about Q3 earnings.\n\nFocus on revenue growth and margin trends." normalizes to two lines. The Structured tab's TASK section becomes "Summarize this article about Q3 earnings." (first line, under 80 chars so untruncated), and CONTEXT reproduces the full normalized text below it. The ChatML tab wraps the same text between <|system|> boilerplate and <|user|>/<|assistant|> markers.

When not to use this tool

This is template wrapping only — it never calls a model to rewrite, clarify, or improve the prompt's actual wording, and it does not check token counts against any target model's context window. If your goal is to improve prompt quality rather than restructure its packaging, this tool will not do that.

Common mistakes

  • - Expecting the four output formats to differ in content quality — they are identical text run through different wrappers; none of them add missing context you did not already type in.
  • - Writing a first line longer than 80 characters and expecting the full sentence in the TASK field — extractTaskTitle truncates it to 77 characters plus "...".
  • - Pasting a prompt with inconsistent blank-line spacing and expecting it preserved — normalizePrompt collapses any run of blank lines down to a single blank line.

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