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1 tool measured · Trust Score data collected 3 August 2026
Every detector publishes an accuracy figure about itself. This category scores them on figures published by people with nothing to sell — academic papers that state their corpus, their sample size and their method, and can be opened and checked. Two numbers matter and vendors tend to quote only the first: how often a detector catches AI text, and how often it accuses a human. The second is the one that ends careers and academic appeals, so it is published beside the first here rather than behind it.
AI-text detector, plagiarism checker, fact-checker and readability scorer sold to agencies, publishers and educators; scans are billed in credits, one credit per 100 words.
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The same tools side by side — every number dated, sourced and reproducible.
| # | Tool | Score /100 | Confidence | Flags | Pricing |
|---|---|---|---|---|---|
| 1 | AI-text detector, plagiarism checker, fact-checker and readability scorer sold to agencies, publishers and educators; scans are billed in credits, one credit per 100 words. | 30.1 | low (coverage) | — | Pro $14.95/mo — $12.95 billed annually (2,000 credits) · Enterprise $179/mo — $136.58 annually (15,000 credits) · pay-as-you-go credit packs · NO free tier (originality.ai/pricing, 3 August 2026) |
Before you buy, settle what happens when the tool is wrong about a person. Read the vendor's terms for who carries the liability when a detector's output is used in an academic, employment or disciplinary decision — some contracts put it on the buyer, not the company. And check what any published accuracy figure was measured on: a score from clean, unedited text says little about text somebody lightly rewrote, which is what a detector actually meets.
Capability is sourced from public output-quality arenas (blind pairwise votes), usability from review-crowd aggregates weighted by sample size, value from verified pricing, and safety & trust from indemnification terms plus consumer-trust records. Reliability requires a controlled benchmark run and is marked unmeasured until we run one. Full detail: methodology.