Ship step · clean launch copy

Prompt formatter online & AI prompt cleaner

Polish App Store / Play Store blurbs, landing-page hero copy, and launch prompts before you ship. Paste a messy AI draft, strip chat junk, then copy or Download .md — nothing leaves your browser.

Empty canvas — load a messy App Store subtitle + description draft (chat crumbs, smart quotes, markdown), clean in one tap, then paste into App Store Connect / Play Console / your landing page.

  1. 1Paste or load store blurb
  2. 2Clean or pick a preset
  3. 3Copy or Download .md

Presets run on the current input. Empty? Use Load store blurb & clean above.

After clean

Empty — load the store blurb or paste launch copy.

in: 0 chars out: 0 chars saved: 0% ~0 words
What it does
  • Collapse runs of spaces / blank lines
  • Strip zero-width chars, smart quotes → ASCII
  • Remove common chat UI crumbs (“Copy”, “Regenerate”, timestamps, “You said:”)
  • Aggressive: also drops bullet noise and markdown fence wrappers
  • Strip markdown: removes fences, **bold**/*italic* markers, and heading hashes for plain-chat paste
  • Structure / JSON / System: add scaffolding only when missing

FAQ

How do I remove markdown from a ChatGPT prompt?

Paste the text, then click Strip markdown. That preset removes code fences, bold/italic markers, and heading hashes so you can paste into a plain chat box. Prefer Aggressive strip if you also want chat UI crumbs and bullet noise cleaned.

Is this prompt cleaner online private? Does data leave the browser?

Yes — cleaning runs in your browser only. This page does not upload the prompt you paste. Pair with the ChatGPT token counter & LLM cost calculator (also client-side) if you want a rough size check before sending.

How do Minimal, Aggressive, and Structure presets differ?

Minimal clean normalizes whitespace, smart quotes, and common chat crumbs. Aggressive strip also drops markdown fence wrappers and bullet noise. Strip markdown focuses on fences / emphasis / headings for plain-text paste. Role / Context / Task wraps cleaned text into a simple scaffold when those labels are missing (JSON and System presets add output or hard-rule scaffolding instead).

Related playbooks

Guides are curated playbooks tied to this tool — not an endless blog feed.