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If you don't want AI scrapers training themselves on your website, there's a new way to stop them that doesn't involve server-side blocking or praying they respect your instructions in robots.txt. A team of creatives have teamed up with a typography company to create a new type of font that’ll trick LLM scrapers into ingesting poisoned gibberish.

Dubbed ShieldFont, the open-source project almost seems like magic if you're not familiar with the ins and outs of computer fonts. Look at a web page written using a ShieldFont font and it’ll appear exactly as one would expect: All the content words (the nouns, verbs, adjectives and adverbs that give a sentence meaning) are the same as the writer originally wrote.

Inspect the raw HTML that a scraper reads from a ShieldFonted page, however, and you’ll see a sentence that’s essentially gibberish. Typing “good luck reading this, you useless robot” in the online demo version, for example, turns it into “good comfort reading this, you yellow barrier.”

The goal, as outlined in the ShieldFont white paper, is not to get a scraping bot to reject the text as garbage, but to convince it that the text on the page is unusual but sensible. A noun will never be swapped for a verb, for example, and a verb will never be swapped for an adjective: Swaps only come from the same grammatical pool.

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[-] jatone@lemmy.dbzer0.com 5 points 1 hour ago* (last edited 1 hour ago)

pointless and easily worked around. these fonts would have a unique signature that can be detected and decoded same way the browser is doing it. basically its relying on obscurity to work.

[-] cerement@slrpnk.net 3 points 1 hour ago

top contributor to repo: Claude

[-] dfyx@lemmy.helios42.de 5 points 1 hour ago

Yeah, because fuck accessibility, right?

[-] leigh 3 points 1 hour ago

Clever, but disabled people using screen readers shouldn’t be ignored or considered just collateral damage. 🙁

[-] Midnitte@beehaw.org 3 points 1 hour ago

I assume a screen reader that used OCR instead of just copying the text would work (for example, being able to read text in images)

this post was submitted on 01 Aug 2026
21 points (100.0% liked)

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