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AI Flavor Detector

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Overview

Detect AI-generated text on any web page. Highlights AI-flavored segments and scores the AI flavor from 0 to 10 using major LLMs.

AI Flavor Detector is a browser-based intelligent detection tool that analyzes the text content of any webpage with one click. Leveraging state‑of‑the‑art large language models, it accurately identifies and highlights AI‑generated passages, helping you quickly distinguish the true source of information. In an era flooded with AIGC content, whether you're a researcher, content creator, hiring manager, or everyday reader, having a reliable way to detect the "AI flavor" in text is essential — and this tool is built exactly for that purpose. ✨ Key Features 🔍 One‑Click Detection Click the browser extension icon to instantly scan the main text of the current page for AI traces — no manual copy‑paste required. 🎨 Intelligent Annotation Highlighting: AI‑generated content is marked with prominent colors for instant visual recognition Confidence Scores: Each annotated section displays an AI probability percentage for informed judgment 📊 Statistical Report After each scan, a comprehensive report is automatically generated, including: Overall AI‑generated content ratio Number of suspected AI paragraphs ⚙️ Flexible Configuration Switchable backend LLM engines (OpenAI / Claude etc.) Bilingual support for both English and Chinese content

Details

  • Version
    1.0.0
  • Updated
    August 4, 2026
  • Offered by
    BianAn2011
  • Size
    53.19KiB
  • Languages
    English (United States)
  • Developer
    卞安
    北苑家园莲葩园 6号楼1701 朝阳区, 北京市 100012 CN
    Email
    bianan2011@gmail.com
    Phone
    +86 134 8875 0387
  • Trader
    This developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.

Privacy

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The developer has disclosed that it will not collect or use your data.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes
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