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Winston AI

AI detection platform that identifies AI-generated text, images, and deepfakes with 99%+ accuracy, plus plagiarism checks, OCR, HUMN badges and team reporting to protect content authenticity across workflows.

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Key Features

  • AI Content Detection

    99%+ accuracy for ChatGPT, GPT-4, Gemini, Claude and Llama with word-level analysis.

  • Image & Deepfake Detection

    Scans images from Midjourney, DALL·E and Stable Diffusion; 300 credits per image.

  • Plagiarism Checker

    Integrated plagiarism scans at 2 credits per word for overlap and sourcing checks.

  • Writing Feedback

    Readability, engagement and SEO suggestions to improve human-like content quality.

  • HUMN Certification

    Issue HUMN-1/2 badges to verify human-generated website content.

  • Team Reports

    Shareable PDF reports, pooled credits, OCR for documents and multi-user collaboration.

  • Integrations

    API, Zapier and browser scanning to connect detection to existing workflows.

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Why Choose Winston AI

  • Superior accuracy:

    99.98% success rate on latest models; frequent updates keep pace with AI evolution.
  • Comprehensive toolkit:

    Detection plus plagiarism, image analysis, SEO feedback and OCR in one platform.
  • Flexible scaling:

    Credit-based usage, pooled team credits and API access for growing volume.
  • Cost-effective features:

    Pro features and multi-language support at competitive enterprise pricing.

Pricing

Free 14-day trial with 2,000 credits. Essential: $10/mo (annual, 80k credits) or $18/mo monthly. Advanced: $16/mo annual (200k credits) or $29/mo monthly. Elite: $26/mo annual (500k credits) or $49/mo monthly. Credits: 1/word text, 2/word plagiarism, 300/image.

About Winston AI

AI detection platform that identifies AI-generated text, images, and deepfakes with 99%+ accuracy, plus plagiarism checks, OCR, HUMN badges and team reporting to protect content authenticity across workflows.

What Winston AI Does

Winston AI performs AI detection for text, images and documents, flagging content generated by models like ChatGPT, Gemini, Claude and Llama. It delivers word-level analysis and humanized scoring to help teams spot synthetic content and maintain authenticity.

The platform integrates plagiarism checking, deepfake and image analysis, OCR for handwriting and shareable PDF reports. It supports bulk scans, pooled team credits, browser scanning, API access and Zapier integrations to fit existing workflows.

Common use cases include academic integrity checks, publisher verification, SEO/content auditing, legal evidence review and enterprise content compliance.

Try Winston AI

Pros & Cons

  • High accuracy

    99%+ detection rate; effective on humanized AI content per independent tests.

  • Easy interface

    Simple navigation and quick scans suited to non-technical users.

  • Multi-modal

    Combined text and image detection with granular word-level visuals.

  • Strong ratings

    Positive user ratings for ease of use and support on review sites.

  • Limited free

    Free trial provides 2,000 credits for 14 days, not long-term access.

  • Higher monthly

    Monthly rates are notably higher than annual equivalents; credits don't roll over.

  • Credit complexity

    Different credit costs per feature can make high-volume use unpredictable.

Frequently Asked Questions

Is there a free plan?

AI detection: Yes — Winston AI offers a 14-day free trial with 2,000 credits for basic text and image detection; it is a trial rather than an ongoing free tier.

What billing options are available?

AI detection billing: Winston AI supports monthly and annual subscriptions, with annual plans offering lower per-month rates (for example, Essential $10/month annual vs $18/month monthly).

Does it support team use?

AI detection supports teams: Advanced allows up to five members, Elite offers unlimited members, and credits can be pooled across team accounts.

What languages are supported?

AI detection supports 11 languages, including English, French, Spanish, German and Chinese for text detection across multiple models.

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