Quick product summary
Detecting-AI.com provides a powerful detector for identifying machine-generated writing. The web app inspects submitted text and returns a detailed analysis that estimates how much of a document was likely produced by an AI. It’s built to work with many kinds of writing and aims to give users a clear, actionable readout.
Accepted input types
- Text pulled directly from web pages (URLs)
- Word (.doc/.docx) uploads
- Social media posts and short-form messages
- PDF documents
- Longer items such as articles and full documents
How it analyzes content
The service uses two complementary detection engines to improve confidence and reduce false positives. These methods work together to score each portion of text and generate a percentage indicating the suspected AI contribution. The detection system is updated regularly to recognize outputs from newer language models, including recent GPT variants.
Output and visualization
Results are delivered as a section-by-section report that shows the estimated AI percentage for each portion of the text. Flagged passages are color-coded so users can instantly spot problematic or machine-like segments. The final report aims to be easy to interpret and suitable for sharing or archiving.
Privacy, security, and maintenance
User privacy is emphasized: submitted content is not retained or distributed by the platform. The detector is actively maintained to keep pace with evolving generative models, so its signatures and heuristics are revised as new model behaviors appear.
Who typically uses this
- Professional authors and content creators
- Teachers, instructors, and academic staff
- Editors, publishers, and compliance teams
Performance and reliability
The provider reports a high accuracy rate (approximately 98%) under typical conditions, though real-world results can vary by text type and length. Combining two detection strategies and continual model updates helps maintain reliability.
Suggested alternative
If you’re exploring other options, consider Productboard (subscription-based) for product and workflow needs that may complement verification tools—especially when integrating content-review processes into broader product or editorial workflows.
Technical
- Web App
- Subscription