Copyleaks is the enterprise institutional detector. It is built for IT directors and procurement offices buying LMS connectors and a plagiarism-plus-AI bundle on multi-year per-seat contracts. That product makes sense at that scale. TextSight is the opposite product for the opposite buyer: an individual instructor, an ESL writing center, or a small team that needs sentence-level evidence per essay, a detector trained on second-language academic prose with its false-positive rate published, a bundled rewriter, and a flat per-user price of 19.99 dollars a month, with no IT involvement, no LMS project, and no procurement cycle.
Copyleaks is genuinely good at what it does. Almost everyone searching for an alternative is not looking for a "better Copyleaks": they are looking for a different category of product entirely. Here is what that looks like in practice.
Copyleaks does publish self-serve individual plans: Personal at 16.99 dollars a month, or 13.99 a month billed annually, and Pro at 99.99 dollars a month, or 74.99 a month billed annually with 25 seats included, both bought on a card. The sales-led part is the institutional side: the Enterprise and Education tabs are talk-to-sales only, and Education pricing is quoted on the number of full-time students at the institution. So the procurement friction is real once you need the LMS-integrated institutional product, but a single instructor or a small team can buy either vendor on a card today. At that size the difference is what the subscription gives you: TextSight Pro is flat unlimited scanning, while Copyleaks Personal meters 100 credits a month, about 25,000 words.
Copyleaks earns its institutional pricing through LMS connectors for systems like Canvas, Blackboard, and Moodle, and the bulk processing those connectors enable. If your workflow is not LMS-driven, you are paying for an integration layer you never use. A writing-center tutor reads one draft with one student. A freelance editor reviews a short post. Neither workflow benefits from an LMS sync that scores thousands of submissions in a batch.
At institutional scale, a false positive on a non-native English essay is a curve an admin dashboard smooths over. At individual scale, that same false positive is a specific student in your office at 4 p.m. whose grade you are about to question based on a number you are not sure about. We train on second-language academic prose precisely so that single-student case happens less often, and we publish how often it still happens: 5.85 percent of 1,180 human-written papers from 2018 were wrongly flagged. When the unit of work is one essay, the false-positive risk is the thing you feel.
Copyleaks bundles a deep plagiarism source-matching database with AI detection because universities buy them together for academic-integrity programmes. Writing centers, SEO editors, and freelance content reviewers usually do not need the database. A lighter, cheaper product that pairs AI detection with a rewriter in one tier, without the source-match infrastructure cost, fits the workload more cleanly.
If two or more of these describe your situation, you are not looking for a "better Copyleaks": you are looking for a per-user product. Keep reading.
Most of the differences below are not "better" or "worse". They are the consequence of two products serving two different buyers. We mark a green "win" only where the difference is meaningful for an individual or small-team buyer.
| Feature | TextSight | Copyleaks |
|---|---|---|
| Primary buyer | Individual instructors, ESL writing centers, small teams | IT directors, institutional procurement, multi-year contracts |
| Pricing model | Flat per-user subscription, paid on a personal card | Self-serve Personal and Pro subscriptions, plus enterprise per-seat contracts custom-quoted at scale |
| Published price you can read off the page | $19.99/mo Pro flat ($14.99 yearly) | Entry packs listed; serious volume is a custom quote |
| Free tier | 3 scans/day, 5,000 chars, no card, no signup | Ongoing free AI detector: up to 25,000 characters per scan with no login; a free account adds more monthly credits |
| LMS integrations | None (Chrome extension instead) | Connectors for Canvas, Blackboard, Moodle and more |
| Bulk processing | Batch scanning via Business REST API | Thousands of submissions per LMS sync |
| Admin dashboard | Per-user usage page | Institution-wide with per-class breakdowns |
| Multilingual coverage | English-focused detection | Broad multilingual support |
| Sentence-level evidence | Colour-coded per-sentence with per-line rationale | Available, oriented to institutional report download |
| ESL handling | Trained on second-language academic prose, false-positive rate measured and published | Capable, but we found no published false-positive rate |
| Bundled rewriter | Yes, 3 modes (Light, Standard, Maximum) | Detection-and-plagiarism product, no rewriter |
| Enterprise compliance posture | GDPR consent + data-hygiene baseline shipped; SOC 2 on roadmap | Mature enterprise security and compliance certifications |
| Best fit | One instructor, one essay, a conversation with one student | One LMS, one syllabus, thousands of submissions a term |
Copyleaks figures reflect public positioning and documentation. "Win" markers reflect our reading of the fit for an individual or small-team buyer, not a third-party audit.
Copyleaks lists entry credit packs but routes serious volume into custom enterprise quotes; check their pricing page for current numbers. TextSight is the opposite: every price below is the price you actually pay, every plan can be bought without a procurement cycle, and the Pro tier lets a single educator adopt it without involving central IT.
Billed $89.88/year, save $30
Billed $179.88/year, save $60
Billed $359.88/year, save $120
Yearly billing saves 25 percent. The honest framing is not "TextSight is always cheaper": at very large enterprise seat counts a negotiated Copyleaks contract can be efficient per student. It is that an individual or a small team can adopt TextSight today, at a price they can read off the page, without a quote, a contract, or an LMS commitment. Two products, two buyers. View full pricing
The clearest way to see whether TextSight or Copyleaks is the right tool for you is to walk through a normal day with each one. Below is the same imaginary essay submitted to a Canvas course and to a writing-center tutor.
A student uploads a Canvas assignment. The Copyleaks connector auto-scans every submission as it arrives. The next morning, an admin dashboard surfaces a list ranked by AI score. The institution has a written policy that papers above a set threshold get reviewed; everything else stays in the bucket. A teaching assistant works through the flagged papers, downloads the institutional report for each, and forwards anything still ambiguous to the academic-integrity office. The throughput is the product. Sentence-level reading only happens for the papers that survive the institutional filter.
The same student walks into the writing center. The tutor opens TextSight, pastes the draft into the scanner, and reads the per-sentence highlights together with the student. Three sentences light up amber, one red. The tutor and the student talk about why those four sentences read as machine-generated and what to change. There is no admin dashboard, no batch queue, and no institutional report. The unit of work is one essay, one conversation, one rewrite. Sentence-level evidence is the product.
If the first paragraph is your day, do not switch to TextSight. The LMS integration, the batch dashboard, and the institutional report format are exactly what your workflow needs and TextSight does not ship any of them. If the second paragraph is your day, TextSight will fit your hand in about ten minutes. If your day is a mix of both, the realistic answer is that the institution probably owns Copyleaks already for the bulk processing, and you adopt TextSight personally for the per-essay conversations.
Migration, for the individuals in the second paragraph, is approximately zero steps: paste essay, read highlights, done. There is no scan history to export and no SOP to rewrite because there was no institutional contract in the first place.
It would be easy to put up a chart claiming TextSight beats Copyleaks by some number of points. We are not going to, because we have not run a measured study against Copyleaks that we would stand behind. Here is the honest version instead.
Both tools are competent detectors. Copyleaks is a mature institutional product and its detection is good. The thing that actually differs for an individual buyer is not a percentage you would memorise, it is the false-positive experience on one student at a time. A product built for institutional throughput can treat a false positive as a rounding error across thousands of submissions. When you are reviewing one essay, a single false positive is a hard conversation, so we treat it as a first-order problem.
Formally-taught English-as-a-second-language prose often reads as more structured than native casual writing, which can trip any detector. We train on second-language academic prose specifically to lower that kind of over-flagging, and we have measured what that is worth rather than describing an intention. On 1,180 human-written academic papers published in 2018, before ChatGPT existed, so that every AI flag is wrong by construction, the detector wrongly flagged 5.85 percent, 95 percent CI 4.65 to 7.34, with a further 20 percent returned as Mixed or Uncertain. Looking for the ESL bias reported by Liang et al. (2023), we found no significant difference between the second-language and native arms of that sample.
The figures above come from a measured study on a real, documented corpus, with the per-document results downloadable at /benchmark/, and they are the only detection figures we quote. We have not run a head-to-head against Copyleaks and will not invent one. Beyond that, the strongest claim we will make on this page is the one we are confident in: TextSight is the affordable per-user tool with sentence-level evidence and a bundled rewriter, and Copyleaks is the institutional procurement tool with LMS reach and multilingual breadth. The right pick is decided by your buyer profile, not by a fabricated percentage.
If the per-user, sentence-level positioning above does not describe your job, here is a quick read on the rest of the detector market and which tool actually owns each lane.
Turnitin is the actual peer to Copyleaks. If your institution is shopping for an LMS-integrated AI-plus-plagiarism detector, Turnitin and Copyleaks are the two finalists; one will win on the integration footprint your IT team already has, the other on academic-integrity workflow depth. Neither competes with TextSight because the buying motion is the same procurement cycle. If your institution already runs Turnitin and you want a per-essay tool for office hours, TextSight sits on top, not underneath.
Originality.ai owns the SEO-agency lane. It is built around credit-meter scanning of large blog backlogs, freelancer-brief templates, and an audit posture that content marketing leads trust when they pay 30 freelancers a month. For a writing center reading drafts with students, it is the wrong product. For a content agency scanning 400 blog posts before a publish push, it is closer to right than TextSight. Read the Originality.ai vs TextSight take.
GPTZero owns the lowest-friction free-tier slot. A graduate student or a part-time teaching assistant who needs to check one paper without a card or a signup typically lands on GPTZero first. The product does what it advertises and the academic-integrity framing is honest. Where TextSight pulls ahead is the bundled AI rewriter (GPTZero is detection-only) and a false-positive rate we have measured on human academic writing and published in full. See the head-to-head.
Winston AI is the closest competitor to TextSight on consumer feel. Reader-friendly UI, reasonable individual pricing, no procurement layer. If your only requirement is "the prettiest AI detector for a single writer", Winston is a fine choice. TextSight pulls ahead on the bundled rewriter at the Pro tier, the REST API on Business, and a detector trained on second-language academic prose whose false-positive rate we have measured and published.
TextSight is the right pick when you need the specific combination of low ESL false positives, per-sentence highlights, a per-user flat price you can buy without a procurement cycle, and a bundled AI rewriter in the same tier. Every other detector on this list wins on one axis. We aim to win when the buyer is one person reading one essay at a time and that combination of axes matters more than any single one.
There is no universal "best detector". There is a buyer profile and a workflow. Pick the column that describes yours and the answer is one of the two products below.
A mixed case is common: institution buys Copyleaks for the LMS layer, individual instructors adopt TextSight personally for office-hours conversations. The two products coexist comfortably.
Deeper head-to-head with the full feature matrix and a tighter walkthrough of where Copyleaks genuinely outperforms.
Read the compareThe 7-tool ranking with detection accuracy, pricing, and the per-user vs institutional lens applied to every entry.
See the rankingIf you are comparing the Quillbot detector instead, here is the purpose-built detector take with sentence-level evidence.
Read the guideFull tier breakdown for Free, Starter, Pro, and Business plans. Annual billing reduces the per-month rate by 25 percent.
See pricingThe free tier needs no card and no signup. Paste one ESL or borderline essay, read the per-sentence highlights, and see how the detector handles a draft you already know well.
Honest comparisons vs other tools.