Originality.ai is the established commercial publishing detector. Trade book editors at HarperCollins-scale houses, online media desks at the Atlantic and the Guardian, and educational publishers like Pearson and McGraw-Hill have run Originality inside their editorial workflows since 2023. TextSight is the newer publisher-grade tool built around sentence-level evidence for contributor revision conversations, a per-scan audit log for editorial-defence paper trail, ESL-aware tuning for international author submissions, a flat-rate $39.99 monthly Business plan, and a REST API with a bundled AI rewriter endpoint. This is the honest publisher comparison: where Originality is still the right call, where TextSight wins, and why many mature mastheads just run both.
A short feature table first, scoped to the work a publishing house editor actually does. The narrative sections below go deeper on each row, with the parts where Originality.ai is genuinely the better call called out clearly.
| Feature | TextSight | Originality.ai |
|---|---|---|
| Primary product | AI detector with sentence-level evidence, bundled AI rewriter, audit log | Plagiarism plus AI dual-detector for commercial publishing and SEO |
| Detection type | DeBERTa plus ELECTRA ensemble with per-sentence confidence | Document-level AI score plus crawled-web plagiarism index |
| Free tier | $0 forever, 3 scans per day, 5,000 chars per scan | No persistent free tier, credits required after trial |
| Pricing model | Flat-rate monthly or annual, no credit meter | Pay-per-scan credits at $0.01 per 100 words |
| Entry price | $9.99 monthly Starter | $14.95 monthly Base for 2,000 credits |
| Pro annual effective | $14.99 monthly on annual billing | $30 monthly Pro for 15,000 credits, no annual discount on credits |
| .edu discount | $13.99 monthly Pro with .edu verification | No published .edu discount |
| Sentence-level evidence | Per-line confidence and rationale for editor pushback defence | Document-level score with highlighted segments |
| ESL FPR (100-passage benchmark) | 6 percent on formally-taught non-native English | 19 percent on the same passage set |
| Native FPR (100-passage benchmark) | 3 percent on US college essays | 4 percent on the same passage set |
| GPT-4 TPR | 92 percent catch on 100 GPT-4 passages | 95 percent catch on the same set, plus 3 pp on raw AI |
| Claude TPR | 90 percent catch on 100 Claude passages | 93 percent catch on the same set |
| Bundled AI rewriter | Included on all paid tiers, single REST key for detect plus rewrite | Sold as a separate product on a separate subscription |
| REST API | Business tier, detect plus AI rewriter plus bulk behind one key | Mature detection API, AI rewriter billed separately |
| Best fit | Publishers needing audit log, ESL tuning, WordPress plugin, flat-rate | Trade and commercial publishers needing source-URL plagiarism evidence |
Prices verified May 2026. Verify on each tool's pricing page before subscribing. Win markers reflect our reading of the feature gap, not a third-party audit.
Three genuine publisher-side reasons Originality is still the default detector inside large commercial publishing houses, and why an established editorial team should not switch on price alone.
Originality.ai has been deployed inside large trade book publishers and online media desks since 2023. Trade publishing houses at the HarperCollins, Penguin Random House, and Simon & Schuster scale have run Originality during agency-written contributor vetting and manuscript intake. Online media properties such as the Atlantic, the New York Times, the Washington Post, and the Guardian have shipped editorial AI policies that, while rarely naming a specific tool publicly, in practice draw on Originality reports in the contributor review pipeline. Educational publishers like Pearson, McGraw-Hill, Wiley Education, Cambridge University Press, and Oxford University Press apply Originality at author manuscript intake and chapter-level revision review. When an editorial standards document names a detector, Originality is the product that appears most often, and the brand recognition carries weight inside a procurement review or a contributor dispute.
Originality plagiarism is a mature product with a deeper crawled-web index that returns explicit source-match URLs. This matters specifically for publishers because content licensing reviews, sponsored content vetting, and copyright-dispute defence all require a URL list of overlapping text, not a publish-or-not signal. TextSight ships a Plagiarism Risk indicator in every scan that flags stock phrasings and generic definitions, but it is a lighter check and does not output source URLs. For book publishers vetting an agency-written manuscript against potentially lifted passages, for trade magazines screening freelance contributor submissions for licensed content, or for any editorial workflow where the legal team needs traceable plagiarism evidence, Originality is the better tool today.
Originality sells credits at one credit per 100 words. Base is $14.95 monthly for 2,000 credits (200,000 words), Pro is $30 monthly for 15,000 credits (1.5 million words), and unused credits roll forward on most plan variants. For book publishers with very spiky release calendars (a quiet month between major launches, then a 500,000-word manuscript intake during fall list season), a credit pack does not waste money on the quiet month. For seasonal magazine publishers running heavier issues in spring and autumn, the credit-based shape matches the editorial calendar. TextSight flat-rate Business at $39.99 monthly is predictable but assumes consistent contributor volume; if your masthead runs in spikes, the credit math can land cheaper on Originality.
If your publishing house fits any of those three patterns, the rest of this page is informational rather than persuasive. Originality.ai is the tool for the job, and the honest recommendation is to stay there.
For independent mastheads, online media properties with international author rosters, and any editorial team that wants a defensible per-scan audit log, here is where TextSight beats Originality on the publishing work that matters.
Every TextSight scan returns a sentence-by-sentence colour map with per-line rationale (rhythm flat, vocabulary cluster, paragraph cadence). When a section editor asks a contributor for a revision or sends a kill-fee note, the editor forwards the specific flagged sentences with the model reasoning quoted, and the contributor sees the same evidence the editor saw. That removes the ambiguity that creates contributor disputes. Originality shows a strong document-level score with highlighted segments, which is great for the published-deliverable scan but less actionable when a section editor has fifteen minutes to write a revision note before deadline. Publishers that operate on sentence-level evidence report fewer kill-fee disputes than publishers that share only a single percentage score.
The Business tier logs every scan with the editor, timestamp, document title, confidence score, and downloadable CSV export. If a published piece is later challenged by a reader for AI content, if an aggrieved contributor disputes a kill fee, or if a public correction is required, you can pull the audit row that shows who scanned what, when, and at what score. For an editorial-defence paper trail that holds up in a contributor arbitration or a standards-desk review, an exportable log is the artefact procurement, legal, and the standards desk actually want. Originality has team workspace history; TextSight ships the exportable audit log at $39.99 monthly (or $29.99 on annual).
TextSight Business is $39.99 monthly or $29.99 monthly on annual billing for effectively unlimited scans inside fair-use, plus the REST API, audit log, and the WordPress plugin. There is no credit meter to top up and no surprise overage when a launch-heavy month doubles your manuscript intake. For a publisher with consistent contributor load (online media desks with weekly assignment volume, magazine publishers running monthly issues, trade houses with steady backlist revision work), the flat-rate math is cheaper than the equivalent Originality Pro at $30 monthly once you count the credits a busy month actually burns and the AI rewriter subscription Originality bills separately.
Originality classifier was tuned primarily for native-English SEO content, and on formally-taught English from international author submissions it over-flags clean human prose. TextSight tuned its detector in 2025 against writing samples from Indian universities (IIT, IIM, DU, JNU), Filipino education programmes, and Chinese postgraduate writing. On identical-quality essays our internal false-positive rate is roughly 40 percent lower. For book publishers handling translation editing, for online media with a global contributor roster, for educational publishers with international textbook adaptations, and for academic publishers reviewing manuscripts from non-native English researchers, the calibration gap means fewer false escalations on clean human submissions that simply read in a different register.
The Business REST API exposes detection, the AI rewriter, and bulk scanning behind a single key. A contributor submission form on WordPress, a Ghost editorial intake hook, a Substack newsletter pre-publish step, or a custom CMS slush-pile integration can all call the same endpoint to score a draft and request an AI rewriter rewrite in the same workflow. The bundled bulk endpoint runs through a 100-piece backlist scan in one job. Originality exposes detection via a mature API, but the AI rewriter is a separate product on a separate subscription. For publishers integrating detection into the editorial pipeline through automation, the TextSight bundled endpoints cut both code and total tool spend.
TextSight ships an official WordPress plugin that adds a scan button inside the Gutenberg editor. A section editor reviewing a contributor draft in WordPress can run a detection pass without copy and paste, and the result is logged to the same Business audit log. A Chrome extension covers Ghost, Substack, Notion, and Google Docs for editors working outside WordPress. For an online media property whose entire editorial CMS lives in WordPress, the plugin removes the most common friction step in the contributor review loop. Originality has a Chrome extension and an API, but its native WordPress plugin story is lighter.
Internal benchmark run on 100 passages per generator (GPT-4, Claude 3.5, native human, ESL human). True-positive rate (TPR) is catch rate on AI passages, false-positive rate (FPR) is the share of human passages incorrectly flagged. Lower FPR is better. Originality lands 3 pp higher on raw GPT-4 catch; TextSight lands 13 pp lower on ESL false positives.
| Tool | GPT-4 TPR | Claude TPR | Native FPR | ESL FPR | Combined |
|---|---|---|---|---|---|
| TextSight | 92% | 90% | 3% | 6% | 91% / 4.5% |
| Originality | 95% | 93% | 4% | 19% | 94% / 11.5% |
| Copyleaks | 94% | 92% | 4% | 16% | 93% / 10% |
| Quillbot | 86% | 83% | 8% | 14% | 84.5% / 11% |
| GPTZero | 89% | 86% | 5% | 22% | 88% / 13.5% |
| ZeroGPT | 85% | 82% | 6% | 21% | 83.5% / 13.5% |
| Grammarly | 80% | 77% | 7% | 20% | 78.5% / 13.5% |
For a publishing house running contributor vetting at the intake step, the meaningful number is not the headline GPT-4 catch rate, it is the false-positive rate on the writers your masthead actually publishes. A 19 percent ESL false-positive rate on Originality means that for every 100 clean human submissions from an international contributor pool (book translations, online media columnists writing in formally-taught English, educational publishers reviewing manuscripts from non-native researchers), roughly 19 will be wrongly flagged as AI. At a 6 percent ESL FPR on TextSight, the same 100 submissions yield about 6 false escalations. Across a 300-submission magazine issue or a 100-manuscript book list, that gap compounds into hours of unnecessary contributor disputes that erode editorial trust.
Online media properties screening freelance pieces at 50 to 200 submissions per week, magazine publishers running monthly issues with 30 to 80 contributor pieces, and trade book houses processing seasonal manuscript intake all share the same throughput shape: the editorial team cannot manually adjudicate a 20 percent false-positive rate. The combined 4.5 percent FPR on TextSight against 11.5 percent on Originality is a roughly 60 percent reduction in escalations that require a section-editor conversation, a contributor revision, or a kill-fee discussion. On the catch-rate side, the 3 to 5 pp difference on raw AI passages matters less in practice because contributor-submitted AI prose rarely lands inside the borderline confidence band that separates a 92 and a 95 percent detector.
For publishers facing legal exposure around AI-attributed content (a reader challenge, a defamation suit citing fabricated facts, a content-licensing dispute), the artefact that matters is the per-scan audit log. TextSight Business ships an exportable CSV of every scan with the editor name, timestamp, document title, confidence score, and the sentence-level reasoning the model returned. For an archive scan of legacy content across a back catalogue of 5,000 to 50,000 pieces, the bundled bulk endpoint runs the job in batches and writes every row to the same audit log. Originality has team workspace history but the editorial-defence story leans on the document-level score and the source-URL plagiarism list. Both artefacts have legal weight; the audit log is what holds up in a kill-fee arbitration or a standards-desk inquiry.
TextSight Business is $39.99 monthly or $29.99 monthly on annual billing, flat-rate. Originality.ai uses credit packs: Base at $14.95 monthly for 2,000 credits, Pro at $30 monthly for 15,000 credits, with one credit scanning 100 words. The AI rewriter is a separate Originality product.
Billed $89.88/year, Save $30
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Yearly billing saves 25%. Originality.ai Base is $14.95/mo for 2,000 credits, Pro is $30/mo for 15,000 credits at the time of writing, with the AI rewriter billed as a separate product. View full pricing →
The cleanest publisher answer in 2026 is belt-and-suspenders: Originality on the published-deliverable scan and the content-licensing check, TextSight on the contributor-vetting pre-flight and the audit-log paper trail. Here is how that split works inside a working editorial desk.
Originality stays as the canonical published-deliverable scan and the plagiarism-source-URL check. The bundled crawled-web plagiarism index is what content licensing and copyright-dispute defence actually need, and the brand recognition carries weight when the standards desk or the legal team reviews an artefact. For trade book publishers handling agency-written manuscripts, for online media properties vetting freelance contributor pieces, and for educational publishers screening textbook author submissions, that side of the workflow does not need to change. Originality stays as the canonical detector named in the editorial standards document.
Before the piece reaches the canonical Originality scan, the section editor runs it through TextSight first. The sentence-level highlights tell the editor exactly which lines to ask the contributor to rewrite, the bundled humanizer rewrites those lines in the same workflow, and the audit log records who scanned what at what score. By the time the piece hits Originality for the published-deliverable scan, the contributor has already revised the flagged sentences and the score lands clean. The combined cost is around $70 monthly per workspace and the editorial-defence story (two independent detectors agreeing on the same piece) is meaningfully stronger than either tool alone.
The split lines up cleanly with the editorial-defence audit-log story. When a published piece is later challenged for AI content by a reader, when an aggrieved contributor disputes a kill fee, or when a public correction is required, you have a TextSight audit row showing the section editor scanned the draft clean before publication, plus the Originality published-deliverable scan that was the canonical artefact at the time. For a procurement review, a content-licensing dispute, or a standards-desk inquiry, having two independent detectors and an exportable audit log is the editorial-defence record the legal team and the standards desk actually want.
Both detectors are good products built by serious teams. The honest answer is publisher-shape specific. Use this picker to find the tool that fits your masthead, your contributor roster, and your editorial-defence posture.
The full general-audience compare with credit math, plagiarism notes, and migration steps.
Read the compare →Six detectors ranked for trade book, online media, and academic-journal editorial workflows.
Read the ranking →Contributor vetting workflow, audit log, and the editorial pipeline built around sentence-level evidence.
Read the guide →Full tier breakdown for Free, Starter, Pro, and Business. Annual billing saves 25%.
See pricing →Start TextSight free, no card. Upgrade to Business when you want the per-scan audit log, the REST API, and the WordPress plugin for your editorial pipeline.