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Originality.ai

ai detectors

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.

30.1/100 Trust Scoreconfidence: low (coverage)measured 3 August 2026scored with Trust Score v1 →
Visit Originality.ai ↗

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) · affiliate links never affect the score

What the number is built from

Trust Score v1 · data collected 3 August 2026
30.1/100
confidence: low (coverage)
  • Capability12
  • Reliabilitynot measured — not autonomously measurable (needs controlled run)
  • Usability & control65.8
  • Value52.2
  • Safety & trust20

⚑ reliability unmeasured (autonomous mode)

Sources: . Recomputable from the committed inputs — see methodology.

What the licence and the price commit you to

Pricing
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)
Vendor
Originality.AI Inc.
Platforms
web, api, chrome-extension, wordpress-plugin
Facts last verified
3 August 2026

Official site: originality.ai

Reported by people who paid

synthesized 2026-08-03 from Reddit, Trustpilot, G2, Capterra, Product Hunt, Hacker News, Gartner Peer Insights, Academic literature (arXiv)

Agencies and educators want the detector tuned aggressive, not lenient praise

Where this sweep found professional or institutional users -- a content-agency reviewer on Product Hunt, a Hacker News commenter recommending detection tools to peers, and a higher-ed instructor on Capterra -- the recurring frame is that a detector erring toward over-flagging is a feature of a workflow tool, not a defect, because the cost of a missed AI submission is treated as worse than the cost of a manual second look. This pattern holds across three separate platforms and three different periods (2023 on Product Hunt, mid-2024 on Capterra, February 2026 on Hacker News), suggesting it isn't a one-off enthusiasm but a stable reading among buyers who use the tool as a triage signal rather than a verdict.

The same aggressiveness reads as false accusation to individual writers -- and the one study that names this tool found it worsens sharply on lightly AI-polished non-English text complaint

The flip side of the first theme shows up on the same Product Hunt page and in the same Hacker News thread: individual writers describe pre-ChatGPT-era or entirely human essays scored as majority-AI, and a Hacker News commenter caught the tool rating an Ars Technica editor's retraction note as 100% AI-generated. The one paper in this sweep that independently tests Originality.ai by name, rather than the detector field in general, is a November-December 2025 preprint on Arabic-language detection, and it found the same pattern at a measurable scale: an [no false-positive rate is stated in the abstract — figure withdrawn 2026-08-03] on clean human text before any adversarial condition, collapsing toward 12% overall accuracy once that human text had only light AI polishing applied. That specific number is scoped to Arabic-language content, not a general or English-language non-native-speaker measurement -- but it is the closest verifiable, dated, sample-sized evidence this sweep located for the false-positive fault line this category is known for, and it points the same direction as the dated community complaints above it.

The contract puts false-positive fallout on the customer, not on Originality.ai complaint

Originality.ai's own terms of contract, last amended June 2026, explicitly acknowledge that AI-detection outputs are probabilistic and can misfire, then place the burden of that possibility on the customer rather than the vendor: businesses, schools and agencies that use the tool's output to make a decision about a person must indemnify Originality.ai against claims arising from that decision, and the company separately disclaims liability for the academic, employment or disciplinary consequences of relying on its own score. Read next to the false-positive complaints in the theme above, the contract reads as if it were written for exactly the accusation scenario those reviewers describe -- a defensible position for a vendor to take, and, at the same time, the plainest answer this sweep found to whether Originality.ai indemnifies anyone harmed by its own false positive: it does not, and the customer carries that risk instead.

A credit-metered, no-free-tier product with a refund policy that promises review, not a guarantee contested

Originality.ai is a paid-only, credit-metered product -- no plan on its own pricing page includes a free tier -- and the one pricing complaint this sweep could verify against an actual dated review, from a freelance writer on Capterra who still awarded 5 stars overall, singles out cost as the main friction. The vendor's own refund policy, last updated July 2025, does not promise refunds on request: requests are reviewed case by case and granted at the company's discretion, and any approved refund automatically expires the customer's remaining credits. Neither fact is unusual for the category on its own, but together they mean a buyer is choosing a subscription-only tool priced and packaged for agencies over one with a real free tier, and should expect the refund conversation to be a request rather than a right.

where the sources disagree
  • The same trait splits reviewers by who is using it: workflow and agency users on Product Hunt and Hacker News (Ken Savage, ~2023; greenfrogs, Hacker News, 2026-02-15, https://news.ycombinator.com/item?id=47025122) praise Originality.ai's willingness to flag borderline content, while individual writers on the same Product Hunt page in the same years (Shelly Suzette, ~2024; Ciel Group, ~2023) describe the identical behavior as their own human writing being wrongly accused -- two audiences reading the same sensitivity as opposite outcomes, not two platforms disagreeing about what happened.
  • Originality.ai's own accuracy page (dated 2026-07-03, https://originality.ai/blog/ai-accuracy) claims a 1.5% false-positive rate for its Turbo model and under 1% for its Academic model, measured on the company's own internal benchmark; the one academic paper in this sweep that independently tests Originality.ai by name (Almohaimeed et al., arXiv, submitted 2025-11-16, https://arxiv.org/abs/2511.16690) measured an 92% accuracy on a clean 800-article baseline [CORRECTED 2026-08-03: this file originally said '[no false-positive rate is stated in the abstract — figure withdrawn 2026-08-03]'; the abstract states NO false-positive rate at all — see CORRECTION-READ-FIRST.md] before any adversarial condition was applied -- five to sixteen times the vendor's own claimed figure, on a smaller and differently-scoped sample than the vendor's.
  • Originality.ai's CEO-authored blog post (2025-10-28, https://originality.ai/blog/robust-ai-detection-study-raid) states the company 'was the most accurate detector' in the independent, ACL 2024-published RAID benchmark (Dugan et al., University of Pennsylvania and collaborators, https://arxiv.org/abs/2405.07940) and cites 85% accuracy and first place in 9 of 11 adversarial categories; the post does not link RAID's own maintained leaderboard (raid-bench.xyz/leaderboard), and neither the RAID paper's own text nor two direct attempts to load that leaderboard in this sweep could confirm Originality.ai's inclusion or rank on it. The number traces to the vendor's own re-application of RAID's public dataset and methodology, not to a result RAID's own team published about this tool.
  • The two usability numbers this sweep could verify by reading the page directly disagree by two full stars and describe very different samples: Capterra shows a perfect 5.0/5 from exactly 7 reviews, all dated May-July 2024 (https://www.capterra.com/p/10013272/Originality-AI/reviews/, retrieved 2026-08-03), while Product Hunt shows 3.0/5 from 22 reviews spanning 2023-2024 with recurring false-positive complaints (https://www.producthunt.com/products/originality-ai-and-plagiarism-checker/reviews, retrieved 2026-08-03). The platforms most often cited by secondary 'review' roundups for a bigger, rosier picture -- G2 (variously reported elsewhere as 33 to 185 reviews at 4.4/5), Trustpilot (variously reported elsewhere as roughly 1,088 to 1,253 reviews at 4.6/5) and Gartner Peer Insights -- returned 403 Forbidden on every direct-retrieval method this sweep tried (WebFetch, and curl with a browser user agent), so none of those larger, more flattering figures could be confirmed by reading the actual page.

Where else this job gets done

    Full table with flags and pricing: AI Content Detectors ledger.