Stun LLMs with thousands of invisible Unicode characters
I made a free tool that stuns LLMs with invisible Unicode characters. *Use cases:* Anti-plagiarism, text obfuscation against LLM scrapers, or just for fun! Even just one word's worth of “gibberified” text is enough to block most LLMs from responding coherently.
Stun LLMs with thousands of invisible Unicode characters launched on November 24, 2025 with 206 votes, #130 of 9,795 launches that month and more than 95% of that year's launches.
In plain words
Gibberifier is a free tool that embeds invisible Unicode characters into text to disrupt large language model processing. It's designed for writers, content creators, and website owners who want to protect their work from LLM scraping, prevent plagiarism detection bypass, or simply experiment with how LLMs handle obfuscated text. Even minimal gibberification can render LLM responses incoherent, making it useful for those seeking privacy or anti-scraping measures.
written from the facts on this page · September 2026
From the sources
Gibberifier - Block AIs and web scrapers from reading your text with invisible Unicode characters while preserving meaning for humans.
Block AIs from reading your text with invisible Unicode characters while preserving meaning for humans. LLMs (Large Language Models) like ChatGPT don't actually read text like we do. They only understand words translated into lists of numbers called "tokens." Every word in the English language can be split up into these tokens, and each token is associated with the meaning of that word (or the parts of the word) in the model's training. However, invisible Unicode characters like the ones Gibberifier uses aren't used in real text often enough to warrant their own tokens, so the tokenizer (the algorithm that turns words into tokens) just represents them as the raw UTF-8 byte data that they…from gibberifier.com
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