朱雀AI检测助手

Platform introduction:

Tencent 朱雀AI检测助手 is an identification hub created to solve the problem of "blurring the boundaries between AI-generated content and human creation (the accuracy rate of professional identification is less than 60%), academic fraud (AI writing papers), false AIGC content dissemination (false images on social platforms), and data quality Hidden dangers (AI data causes model collapse)" and positioning "an 'objective screening tool' for AI content." Its core logic is to "achieve high-precision detection with 'multi-algorithm + big data training'": through complex algorithms such as text feature extraction, semantic understanding, and image analysis, combined with massive training covering academic, novel, news, photography, and art fields. Data, learn the difference model of human-machine creation; at the same time, continuously update the model and adapt to new AI generation technology, allowing users to quickly identify the source of content without professional knowledge, and provide free quotas to lower the threshold of use.

Core functions:

1. Two core testing capabilities (clearly presented in the document)

1. Text analysis: Recognize AI-generated text

   • Detection scope: Supports recognition of mainstream text generation AI models, including GPT series, Claude, DeepSeek, Tencent Hunyuan, Wenxinyiyan, Doubao, etc.;
   • Core competencies:
     • Accurately identify AI-generated papers, novels, essays, news and other texts, mark suspicious paragraphs, and generate detection reports (including data such as "AI generation probability" and "suspected AI proportion", such as "AI generation probability 64.44%" in the example);
     • Support uploading text files (txt, docx formats) or directly pasting text, with a detection accuracy rate of over 92%, providing protection for academic integrity;
   • Precautions: Test results are for reference only, and false positives may appear in simple common texts (such as online novels and primary school compositions).

2. Image analysis: Identify AI-generated images

   • Detection range: Support the identification of mainstream image generation AI models, including Tencent Hunyuan, Doubao, Wenxin ERNIE-VILG, Midjourney, Stable Diffusion, StyleGAN, Flux, etc., covering diffusion models and DeepFake technology;
   • Core competencies:
     • Detect fake AIGC pictures on social platforms (such as fake news pictures and fake portraits generated by AI), with an accuracy rate of 98%+;
     • Support drag-and-paste upload images (png, jpg, webp formats) to quickly output "AI generation probability" and identification results;
   • Precautions: Easy-to-edit anime pictures and realistic portraits (such as PS embellishments) may show false positives.

2. Other key capabilities and characteristics

1. Multiple algorithms and continuous updates : Adopt text detection algorithms, image feature extraction algorithms, semantic understanding algorithms, and big data analysis algorithms, combined with massive human-machine data for training; the detection model is regularly updated and new AI model data and algorithms are integrated to improve the ability to identify content generated by new AI.
2. Diversified application assistance :
   • Generate detailed inspection reports: text detection marks the proportion of "artificial/AI/suspected AI", and image detection clarifies the "AI generation probability" to facilitate users to trace suspicious content;
   • Privacy protection: The materials uploaded by users are only used for real-time detection and are not used for model training. Relevant records are automatically cleared after the detection is completed to ensure data security.
3. Interactive experience function : Built-in "AI Detection Challenge" Mini games, users can participate in the challenge of "judging whether content is AI-generated" and compare their own recognition accuracy with professional models (such as "accuracy rate 81% exceeds 83% challengers"), which is both interesting and popular.

Typical application scenarios:

• Academic integrity protection : Before students submit their papers, use tools to detect whether there are AI ghosted paragraphs (such as detecting academic content generated by GPT), mark suspicious parts and modify them to avoid academic violations;
• Social media content review : Platform operators detect pictures/news posted by users (such as false scenic spots and false event reports generated by AI), screen illegal AIGC content, and reduce the risk of false information dissemination;
• Enterprise data quality audit : Before model training, enterprises use tools to filter "human creation data" to avoid problems such as model collapse and factual errors caused by the use of large amounts of AI to generate data;
• Ordinary user content identification : Users receive text (such as suspicious papers, marketing copywriting) or images (such as online hot maps) from unknown sources, and use tools to quickly determine whether they were generated by AI to avoid misleading.

Applicable population:

• Student group : It is necessary to test whether papers and assignments contain AI-generated content to ensure academic integrity;
• Enterprise/institution : Data annotation team (screening human data), content review department (screening AI false content), scientific research team (verifying data authenticity);
• Social media platform operators : content reviewers on platforms such as Douyin, Weibo, and public accounts need to identify AIGC materials posted by users;
• Ordinary users : Individual users who want to determine whether the texts (such as online texts, copywriting) and images (such as hot maps, illustrations) they come into contact with in daily life are generated by AI.

Unique advantages:

1. Comprehensive coverage of multiple models : Supports mainstream text/image AI model detection at home and abroad (such as GPT, Midjourney, Mixed Origin, and Wenxinyiyan), which meets the detection needs of most users, without needing to switch multiple tools;
2. High accuracy and free quota : The text detection accuracy rate exceeds 92%, image detection exceeds 98%, and 20 free text +30 image detections are provided every day, which can be used at zero cost for individuals and small and medium users;
3. Privacy and security are guaranteed : Make it clear that user data is not used for training, and records are automatically cleared after real-time detection to avoid the risk of data leakage;
4. Continuous iteration to adapt to new AI: The detection model is optimized with the update of AI generation technology, which can identify the content generated by new models (such as Flux and the latest version of GPT) and avoid technical lag;
5. The operating threshold is extremely low : It supports drag-and-drop uploading and pasting of text. No professional knowledge is required. The test is completed in 1 minute. It is friendly to novices.

Note: The document clearly states that "the test results are for reference only, and there is the possibility of false positives"(such as simple universal texts and easy-to-edit images may be misjudged), and manual screening must be combined when used.