This is a detector-vs-detector comparison. Both tools tell you whether writing reads as AI-generated, so the question is not which one is a detector but which shape fits your work. Winston is one of the more polished detectors in the category, with a clean interface, OCR that reads scanned PDFs and handwriting (rare in this market), and broad language coverage, priced on a credit model with the rewriter sold as a separate product. TextSight comes at the same job from a different angle: sentence-level evidence with a per-line reason for every flag, a flat subscription that is easy to budget, a permanent three-scans-a-day free tier, and a rewrite tool bundled in every paid plan. This page is the honest comparison: where Winston's OCR and credit model win, where TextSight's evidence and flat bundled pricing win, and how to choose on input format and how you like to pay.
A short table first, focused on product shape rather than accuracy claims. The narrative sections below go deeper on each row, with the parts where Winston is genuinely the better call flagged clearly.
| What matters | TextSight | Winston AI |
|---|---|---|
| Product type | AI detector with a bundled rewrite tool | AI detector with OCR and a separate paraphraser |
| Sentence-level highlights | Yes, colour-coded per sentence | Yes, sentence highlighting in the result view |
| Per-line reason for each flag | Yes, rhythm, vocabulary, cadence and length variance per sentence | Highlighting without a per-line reason |
| Pricing model | Flat subscription, easy to budget | Credit-based, you spend credits per scan |
| Rewrite tool bundled | Yes, in every paid tier on the same login | Separate paraphrasing product, billed on its own |
| Free tier (no signup) | 3 scans/day, no card for first scan, permanent | One-time trial, then paid credit plans |
| REST API | Business tier, detection + rewrite + bulk in one key | Detection API on higher tiers; no rewrite endpoint |
| OCR for scanned / image PDFs | No OCR for image-based pages today | Yes, OCR on scanned PDFs, photos and handwriting |
| Dashboard and language coverage | Competitive UI, fast scan-to-result, English-first | Polished dashboard and broad multi-language coverage |
| Best fit | Writers, freelancers and teams who want per-sentence evidence and flat bundled pricing | Workflows with image-based PDF inputs or a need for broad language coverage |
"Win" markers reflect our reading of which tool fits a given job, not a third-party audit. Check Winston's pricing page for current credit tiers before subscribing.
Four things Winston does better than TextSight today. Acknowledging them is the point of writing this page in the first place.
Winston has been shipping since 2023 and the workflow UX shows it. The scan view, the result dashboard, the team workspace and the report exports are polished in the way that only years of iteration deliver. For an editor inside a newsroom or a compliance lead running checks for a school district, the product feels like vendor software built for that audience. TextSight ships a competitive UI and the scan-to-result loop is fast, but the dashboard surface area Winston has built across teams, history and exports is genuinely deeper.
This is the single biggest reason to pick Winston, and it is not a gimmick. Winston's OCR pipeline reads scanned PDFs, photographed documents and handwritten essays scanned to PDF, then runs detection on the extracted text. Journalism source documents, academic exam scans and legal correspondence routinely arrive as images rather than text-layer files. Winston serves that workflow. TextSight does not. If even a third of your weekly inputs are image-based, Winston is the right pick and the rest of this page is informational.
Winston's Advanced tier and up include a deep web-source plagiarism engine that surfaces matched passages with source URLs alongside the AI score. For citation integrity inside academic or newsroom workflows, that bundle is the right shape of product. TextSight ships a plagiarism-risk indicator inside the same scan, which catches obvious copy-paste, but it is not a full source-URL audit engine. If your workflow centres on plagiarism evidence rather than catching AI in original drafts, Winston is the more mature engine.
Winston supports detection across a broad set of languages, with the strongest coverage on widely-spoken European languages like Spanish, French, German, Portuguese and Italian. TextSight is English-first today, with multi-language support on the roadmap rather than shipped. If your weekly content mix includes non-English drafts at any volume, Winston is the right call.
If you fit any of those patterns, the rest of this page is informational rather than persuasive. Winston is the tool for the job.
For freelancers, agencies, SEO teams, editors and students checking their own English drafts, here is where TextSight's shape beats Winston's on the work that matters.
Every TextSight scan returns a sentence-by-sentence colour map with a short reason per line covering rhythm, vocabulary patterns, paragraph cadence and sentence-length variance. You can act on the specific sentences that flag instead of rereading the whole draft. Winston returns a document-level score with highlighted regions, which is useful but less granular than a per-line reason. For a writer iterating on a draft, the per-sentence reasons make the edit list concrete.
Many detectors lean heavily on how predictable each next word is, a signal that single-pass editing can shift quickly. TextSight weights sentence rhythm, clause structure and paragraph cadence as primary signals, which are harder to change with a light edit. That design choice is why TextSight aims to hold up on drafts that have already been touched by hand, where a word-level signal can move more than the underlying writing did.
Word-level predictability tends to over-flag formally-taught English from non-native writers and casual first-person voice, because both can read as more predictable. By weighting structure over vocabulary choice, TextSight aims to separate honest non-native writing from AI patterns more cleanly. For editors and teachers making calls about international students, that design goal is the point: fewer wrongful flags on honest drafts.
Winston's free path is a one-time trial gated behind signup. TextSight's free tier is 3 scans a day, permanent, with no card and no signup for the first scan. For ongoing evaluation, occasional student use, or a freelancer between drafts, the permanence is the real differentiator, and a flat plan means usage does not draw down a credit balance.
Winston does not include a rewrite tool in its detection plans; adding rewriting means a separate paraphrasing product or a third-party tool. TextSight bundles a rewrite tool in every paid tier on the same login, framed around improving the sentences that flag. For a writer or agency whose workflow is detect then revise, that removes a second subscription and a second tab. For a team that only ever verifies, the bundle is not an advantage.
The two detectors weight different signals. Knowing how each one looks at text helps you read its results and decide which suits your content.
Winston leans on how predictable each next word is given the words before it, cross-referenced against patterns associated with AI writing. That reads raw, un-edited model output well. The thing to keep in mind is that word-level signals can move when text is paraphrased or edited, and conversational or non-native writing can read as more predictable for reasons unrelated to AI authorship.
TextSight weights sentence-length variance, clause-structure patterns and paragraph cadence as primary signals, with vocabulary patterns as one input among several. Structural signals are designed to be harder to shift with a light edit, and to separate honest non-native or conversational voice from AI patterns more cleanly. The trade-off is that structure needs a few sentences to read, so very short snippets are harder than for a token-level detector.
If your drafts are raw model output you want a fast verdict on, both tools serve you. If your drafts have already been edited by hand, or your writers are non-native English speakers, TextSight's structure-first design is aimed squarely at those cases, and the per-sentence reasons let you check the call yourself. The honest way to settle it for your own content is to run a sample through both.
TextSight Pro is $19.99 monthly or $14.99 monthly on annual billing, with unlimited scans and the rewrite tool in one plan. Winston prices on credits you spend per scan, with rewriting sold as a separate product, so check its pricing page for current tiers. The deciding factor is usually the model: flat is easier to budget for steady use, credits can be cheaper for light use.
Billed $89.88/year — Save $30
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Billed $359.88/year — Save $120
Yearly billing saves 25% on every TextSight tier. Winston prices on credits and sells rewriting separately, so check its pricing page for current tiers. View full pricing →
Both products are built by serious teams solving different problems. The honest answer is workload-specific. Use this picker to match the tool to the work you actually do.
If your work spans both image-based and typed inputs, running Winston for OCR and TextSight for typed-draft detection covers the full image-to-final-draft pipeline without forcing one tool to do a job it was not built for.
The honest pick depends on input format and how you like to pay. Three concrete profiles, three concrete answers.
Receives source material as scanned PDFs and photographed papers, and needs to check whether sections were AI-generated before quoting them. Winston is the fit. OCR plus detection in a single workflow is the realistic option for image-based inputs, and the polished dashboard suits an editorial process. TextSight does not read image-based pages today, so this workflow stays on Winston regardless of how the typed-draft detection compares.
Some drafts started as AI-assisted outlines, then got hand-edited, and each delivery has to read as the writer's own work under whatever check the client runs. TextSight is the fit. Detection on every draft with sentence-level reasons, a bundled rewrite tool for the lines that still flag, and a flat plan that does not draw down a credit balance on a busy week. Winston can do the detection too, but rewriting is a separate product and the credit model is harder to predict at volume.
Mostly typed submissions plus a handful of handwritten exam scans. The honest answer is both tools, by format: Winston for the scanned pile through OCR, TextSight for the typed essays with sentence-level reasons to guide a fair conversation about a flagged draft. Each tool handles the input it was built for, rather than forcing one to cover both.
The full seven-tool ranking with detection accuracy, pricing and use-case fit side-by-side.
See the ranking →The classroom-detector head-to-head. ESL, perplexity and bundled AI rewriter compared.
Read the compare →How the TextSight AI rewriter differs from a paraphraser, mode by mode, with sample scores.
Read the guide →Full tier breakdown for Free, Starter, Pro and Business. Annual billing saves 25%.
See pricing →Start with TextSight's free tier. No card, no signup, no commitment. Your first scan in about six seconds.
Honest head-to-heads with other detectors and humanizers.