Free AI Detector 2026: AI Text Checker, No Signup | EyeSift

What

EyeSift is a free, no-signup, browser-first AI text detector for reviewing whether a text sample shows signs of AI writing. It is positioned as a triage tool for educators, reviewers, publishers, and other users who need a quick risk screen with caution around false positives, especially for short, translated, technical, or heavily edited text.

Features

• Client-side text analysis: Analyzes pasted text in browser-side JavaScript rather than uploading it to an EyeSift server, which helps users run private checks.
• AI-risk and reliability reporting: Returns an AI-risk score alongside confidence and reliability labels so users can judge whether the result is strong enough to inform review.
• Signal-level breakdown: Shows factors such as perplexity, burstiness, vocabulary richness, repetition, sentence-level signals, and human-writing indicators to explain the score.
• Short-sample and context warnings: Flags low-reliability cases such as under-50-word samples, informal chat, translated text, code, tables, and technical prose to reduce over-interpretation.
• Copyable review summary: Provides a summary users can reuse in documentation or review workflows when they need to explain the detector output and its limitations.

Helpful Tips

• Use 50+ words for directional screening and 150+ words for stronger confidence; shorter samples should be treated as weak evidence.
• Treat the score as a review trigger, not proof; for academic, hiring, legal, or editorial use, pair it with drafts, revision history, source checks, and human judgment.
• Be especially cautious with non-native English, translated writing, formal prose, and heavily edited text, since these can raise false-positive risk.
• For structured inputs like code, JSON, lists, and tables, interpret the result as formatting-sensitive and context-dependent rather than authorship-ready evidence.