AI Content Detection for Publishers Who Need Editorial Trust
Screen freelance submissions and reader contributions for undisclosed AI content before it runs — with evidence, not just a score.
AI-use disclosure is becoming a baseline expectation for editorial trust, not an edge case. Whether you're vetting a freelance submission, checking a wire contribution, or spot-checking your own newsroom's output before publication, an AI content detector gives editors a documented first check — something to point to when a piece needs a second look, or when a contributor needs to be asked directly about their process.
ContentScan is built to support that editorial judgment rather than replace it. Instead of a single opaque percentage, you get a sentence-level breakdown of which parts of a submission read as AI-generated, so editors can distinguish between a lightly AI-assisted draft and one that's substantially machine-written — and decide, case by case, whether a piece needs more of the writer's own voice before it runs.
Built for editorial workflows
Documented pre-publication check
Run a quick scan before a submission goes live and keep a record of the result for your editorial process.
Sentence-level detail
See which specific passages triggered the AI signal, not just a single score for the whole piece.
Catches humanized AI text
Trained to recognize AI writing that has been run through paraphrasing or "humanizer" tools to evade simpler detectors.
No per-seat cost to start
Free, with no signup required for individual checks — useful for spot-checks without procurement overhead.