AI-Content Detector ML vs Detecto

AI-Content Detector ML is a free browser tool and extension that estimates whether text was generated by AI models. It identifies GPT-3, GPT-4, Claude, Gemini, Llama, and other models, showing color-coded badges and a live confidence display. Supported material includes social posts, articles, comments, and emails. The detector handles German, English, and Vietnamese with automatic language detection, and the extension offers dark mode and a blur effect. Its machine-learning model was trained on 15,234 human and AI samples. The maker reports about 92% accuracy on test data but says results vary by text length, language, and complexity; at least 50 words are recommended, while shorter text may have lower confidence. After an initial download of about 25 MB, analysis runs locally in the browser. The maker says data is not sent to its servers or third parties, with only settings and a whitelist stored locally. Chrome, Firefox, Edge, Opera, and Brave are listed among supported browsers.

Detecto is a web service that estimates AI-generation likelihood for text, images, video, and audio, returning calibrated probabilities, supporting evidence, and reviewer reports. Text reports can highlight sentences and show perplexity, burstiness, and a confidence band. Image reports include generation likelihood, a region heatmap, surface-artifact flags, and metadata-integrity checks. Reviewers can add notes, save reports, export PDFs, and share controlled links. Scans and reports are private to the account by default; ephemeral mode allows scanning without storing content or reports. Detecto says submissions are never used to train its detection models. The service is aimed at editors, educators, newsroom verification desks, PR teams, agencies, publishers, and universities. A free tier includes starter credits and full report fidelity without a card. Student costs $6.99 a month billed $83.88/yr; Pro costs $19.99 a month billed $239.88/yr; Max costs $59.90 a month billed $718.80/yr. Scores are probabilistic, not proof, and short or translated text can affect detection.