Get LLM output ready for an originality scan
Plagiarism and AI-detection tools work on plain prose. Paste raw LLM output into them and the markdown headings, bullet symbols, code fences, and repeated boilerplate can throw off the comparison. This tool strips all of that away and removes duplicate sentences, leaving the clean text a scanner actually wants — so your similarity score reflects the writing, not the formatting.
How it works
The cleaner runs a sequence of passes. It removes markdown syntax — heading hashes, bold and italic markers, link wrappers (keeping the visible text), inline code backticks, and fenced code blocks. It collapses runs of whitespace and blank lines into normal spacing. Then it splits the text into sentences and removes exact duplicates, keeping the first occurrence of each, which catches the restated conclusions that long LLM responses tend to produce. The result is a single clean block of prose with a word and character count so you know what the scanner will receive.
Tips and notes
Run this just before pasting into your plagiarism or originality detector for the cleanest comparison. Because the tool only strips formatting and verbatim repeats, it never alters your actual wording — what comes out is the model’s prose without the markup. Everything runs locally, so it is safe for confidential drafts. If you need to keep structure for a different purpose, keep the original and use this cleaned copy only for the scan. Remember that no automated detector is definitive; treat its score as one signal among several.