The score
The 0–100 “slop score” is a deliberately simple heuristic. It is not a probability that your name was generated by AI. Higher scores mean the name, or both parts of a full name, appear in stronger or more repeated documented patterns.
Is your character name already everywhere?
Language models reach for the same tiny pool of names — Elara, Marcus Chen, a hundred surnames ending in Voss. Type a name to see how worn-out it is before you put it in print.
Try:
Your verdict will be stamped here.
Before you rename everybody
What this checker actually tells you
This is a writing aid, not a uniqueness database. It looks for first names, surnames, and a handful of full-name pairings that have been documented as unusually common in AI-generated writing. A flagged name can still be a perfectly good human name; the useful signal is whether it has become a recognizable default in machine-generated fiction.
The best use
Use it as an early warning while brainstorming. If a name is heavily flagged, ask whether it is truly specific to your character or whether it was the first polished-sounding option a model handed you.
The limitation
Language models change, naming fashions change, and ordinary popular names will sometimes appear frequently for completely non-AI reasons. “Clear” means “not on the lists used here,” not “unique on Earth.”
- Tom Clive's five-model name-slop experiment, which generated 1,000 story openings and published ranked name counts and a blocklist.
- Laura Wattenberg's Namerology analysis of Elara and the broader naming pattern.
- The Ghost Couple, a 2026 preprint documenting model-family-specific name priors and recurring full-name combinations.
The checker runs the name comparison in your browser. The text you type into the checker is not submitted to Name Slop Checker. Third-party services loaded by the site, including advertising, may collect browser or device data as described in the Privacy Policy.
How this works & where the data comes from
Every name is checked locally against a curated list of names reported as over-represented in AI-generated writing. The source material includes a five-model experiment that generated 1,000 story openings, naming analysis by Laura Wattenberg, and the 2026 arXiv preprint The Ghost Couple, which documents recurring model-family-specific names and name pairings.
The score itself is this site's heuristic, not a statistic from those sources and not a detector of whether a particular story was AI-written. The “fresher starting points” are simply names that are not currently on this checker's flagged lists. A common name used with intention can be better than an unusual name chosen only to dodge a score.