About us
English
AI Blog Posts Detector
Accurate AI Detection for Blog Posts
Our AI Detector is advanced, but no detectors are 100% reliable. Never use AI detection alone to make decisions that could impact a person's career or academic standing.
By clicking on "Analyze content", you agree to our Terms of Service and have read our Privacy Policy.
Trusted by Millions Worldwide
4.4
2,100+ reviews on G2
4.4
8,200+ reviews on Capterra
4.4
73,000+ reviews on App Store
248M
Registered Users
5B
Notes Created
2M
Notes Created Daily
Frequently Asked Questions
The tool analyzes blog text for AI-generated patterns like consistent structure and predictable language. It checks for human-like elements like varied tone, unique expressions, and personal anecdotes.
AI indicators in blogs include repetitive phrasing, consistent paragraph lengths, and overly formal tone. Human-written blogs often have personal voice and varied sentence structures.
Blogs can be posted on personal websites, platforms like WordPress, Medium, or LinkedIn. They can also appear as guest posts on other websites or collaborative blogs.
While the tool detects AI patterns, it doesn't specifically identify sponsorship. However, AI-generated text may appear in sponsored content when it lacks personalized touches.
Yes, the AI Blog Posts Detector operates entirely online. You can input text directly into the browser and receive an analysis without the need for app installation.
Free users can run analyses, but full results with detailed indicators and reasoning require logging in. This includes access to full AI probability scores and classification.
While the tool doesn't create content, it helps refine your writing by identifying AI-like patterns to adjust, promoting more human-authentic style before publication.
The system classifies text as AI_GENERATED, HUMAN_GENERATED, or MIXED based on detected patterns, probability scores, and presence of specific AI or human indicators.
It's a numerical representation (0-1) indicating the likelihood of AI-generated content, with higher scores suggesting more AI characteristics are present.
Yes, blogs on AI topics can be analyzed for AI text patterns. The system focuses on the stylistic elements rather than the topic itself to identify AI usage.
Yes, the detector analyzes AI patterns across multiple languages, assessing structural and stylistic characteristics typical in AI-generated language.
No, the tool cannot identify the particular AI model behind the text. It provides a general analysis of AI-generated traits rather than pinpointing exact technology.
No, the tool is designed for single-text input at a time. To analyze multiple blog posts, each must be input and assessed individually.
The tool does not maintain a history of analyses. Each session is independent, and results are accessible until the browser is closed unless saved to Evernote by logged-in users.
No, this detector focuses solely on identifying AI-generated elements, not on assessing plagiarism or duplicated content across other sources.