Winston AI

Winston AI

Winston Labs · AI Detection

Winston AI is an AI content detector that scores text from ChatGPT, Gemini, and Claude. It adds a plagiarism checker, AI image detection, and shareable reports for schools and publishers.

Interface preview of Winston AI

About Winston AI

What Is Winston AI

Winston AI is a content detector built by Winston Labs. It takes a piece of writing and returns a score from 0 to 100 that estimates the odds the text came from a human or an AI writer. It reads the same ground as ChatGPT, Gemini, Claude, and Llama, then maps the result sentence by sentence so you can see which lines look synthetic.

The selling point is accuracy with few false alarms. Winston AI says its model hits 99.87% detection accuracy and leans on a large set of human reviewed samples to keep the false positive rate low. For a teacher grading a paper or an editor checking a draft, a wrong accusation costs more than a missed one. That balance is the pitch.

It's not just a text checker. The same account runs a plagiarism checker, an AI image and deepfake detector, and a website certification tool called HUMN-1. The core detector is what most people sign up for, and the extra tools are there when you need them. The catch: the free plan is a 14 day trial with 2,000 credits, and heavier use needs a paid plan.

Getting Started

  1. Create a free account at app.gowinston.ai with an email address.
  2. Paste text into the quick scan box, or upload a .docx, .png, or .jpg file.
  3. Let the OCR pull text from scans or handwriting, then run the scan.
  4. Read the 0 to 100 score and the sentence level AI Prediction Map.
  5. Turn on the plagiarism checker for a second pass, then export a PDF report.

Product Information

A quick look at Winston AI's pricing, supported platforms, and performance.

Free PlanYes
Paid Plans$9 - $49/mo
PlatformWeb
DeveloperWinston Labs
CategoryAI Detection
Release DateFeb 2022
Latest UpdatedOct 2025
Website Visits522.9K
Website Global Rank86.3K
API AvailabilityYes

Best for

The users, tasks, and scenarios where this tool fits best.

Users

  • Teachers and schools
  • Publishers and SEO teams
  • Freelance writers
  • Researchers

Tasks

  • Checking a student submission
  • Screening a draft before publishing
  • Detecting AI images
  • Embedding detection in a product

Scenarios

  • An academic integrity review
  • A busy publishing week
  • Building a detection feature

Key features

AI Content Detection

The core scan takes text and returns a human or AI score from 0 to 100, split into a sentence level AI Prediction Map. It covers ChatGPT, Google Gemini, Claude, Llama, and other major models, and flags paraphrased or heavily edited content rather than only raw output. That sentence view is what sets it apart from a single blunt number.

Plagiarism Checker

A built in plagiarism checker runs alongside the AI scan and points to the original sources behind copied passages. Having detection and originality in one workflow saves the step of moving text between tools, which matters when you screen many drafts in a week. The feature is part of the paid plans rather than the free trial.

AI Image and Deepfake Detection

Winston AI reads images, not just text. It inspects C2PA, Exif, and IPTC metadata for signs of AI generation and covers tools like Midjourney, DALL-E, Stable Diffusion, and Nano Banana. For editors handling mixed media, that closes the gap a text only checker leaves open.

HUMN-1 Website Certification

HUMN-1 is a certification that marks a site as largely human written, aimed at publishers worried about rankings. It's part of the Advanced and Elite plans and runs on a trial basis on the free tier. It gives content teams a public signal rather than just an internal score.

Developer API

A separate API plan returns JSON with an overall score, per sentence scores, and credit usage. The endpoints cover AI detection, plagiarism, fact checking, and image detection, so a team can wire detection into its own product. Signing up grants 2,500 test credits, which is enough to try an integration before committing.

Multilingual and OCR Scanning

Detection runs across English, French, Spanish, German, Portuguese, Dutch, Polish, Italian, Romanian, Indonesian, Tagalog, and Chinese (Simplified). An OCR layer pulls text from scans and handwriting, so a photographed worksheet or a signed document still gets scanned.

Pros and cons

Pros

  • As an AI content detector, it returns a sentence level map, so you can see which passages look synthetic instead of trusting one number.
  • It bundles a plagiarism checker, AI image detection, and reports in one account, which cuts tool switching for editorial teams.
  • A documented developer API covers AI detection, plagiarism, and image checks, giving product teams a direct integration path.
  • GDPR compliance and a no training on your data policy make it easier to justify in schools that handle sensitive student work.

Cons

  • The free plan is a 14 day trial with 2,000 credits, so there's no permanent free tier and heavy users hit a paywall fast.
  • A single account can only hold one of the tool sets at a time, and some features like HUMN-1 certification sit behind the higher priced plans.
  • Detection scores are estimates, and a low score isn't proof of authorship for a student, so results still need human judgment.
  • Accents remain on the higher tiers for the plagiarism checker and team seats, so small teams pay for features they may not use.

Frequently asked questions

It's an AI content detector that scores text to estimate whether a human or an AI wrote it. It also includes a plagiarism checker, an AI image detector, and shareable reports, and it's aimed at schools, publishers, and writers.

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