CheckforAi

CheckforAi is a web tool that analyzes written content and estimates the likelihood it was generated by AI. It returns a risk score, highlighting potential AI content in essays, reports, or other texts.

Pricing Model: Free

Category: Ai Detection & Plagiarism Checkers

https://checkforai.com/

Release Date: 12/10/2023

• AI vs human text classification
• Risk scoring for content authenticity
• Sentence-level analysis and highlights
• Text input via copy-paste or upload
• Simple UI to view flagged segments
• Explanation of score interpretation
• Confidence thresholds to allow user judgment
• Lightweight and fast processing
• Nonprofit / free tool orientation
• Notification of service sunset/shutdown

CheckforAi was launched as a free nonprofit AI content detection project intended for individuals wanting to check whether a piece of writing was AI-generated. The service allowed users to paste or upload text and receive a “risk score” indicating the likelihood that the content was machine generated versus human authored. Under the hood, CheckforAi employed a combination of models—such as a Roberta-base classifier for GPT detection and custom models built by its team—to analyze linguistic patterns, vocabulary, syntax, and other signals to distinguish AI output from human writing.

Users could view per-sentence highlights showing which sections seemed more likely to be AI driven. The tool converted model probabilities into an interpretable risk score, giving users context for how confident the system was. While the system offered guidance, it also cautioned that no detection score is definitive and that decisions should not rest solely on the score itself. Over time, CheckforAi served educators, writers, and content publishers who needed a lightweight check for AI content.

However, CheckforAi has now been sunset: the site’s homepage indicates that the service has been retired so the team can focus on new projects. Thus it is no longer actively available. While the tool’s approach was promising for casual verification, it had inherent limitations—false positives, false negatives, and evolving AI generation techniques could reduce reliability. Its transparency about risk scoring and caveats around absolute confidence were a responsible signal for users interpreting the results.

In sum, CheckforAi represented an early, accessible attempt at democratizing AI content detection. Although it is no longer operational, its model of combining open classifiers with user-facing risk scores offers a blueprint for future detection tools that seek to balance interpretability, usability, and technical rigor.

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