What it is
EyeSift is a web-based suite for detecting AI-generated content across text, images, video and audio. The platform centers on a Detection Engine v3.2 and four specialized analysis engines that apply statistical and forensic methods to identify patterns consistent with synthetic media.
It provides a collection of 21 free tools accessible without signup, API keys or usage limits. For text it reports metrics such as perplexity, burstiness, vocabulary diversity and entropy and produces an AI confidence percentage indicating likely AI generation. The site reports it has performed over 2.8 million analyses and cites an approximate 75–85% detection rate.
EyeSift is aimed at professionals who need to verify the authenticity of digital content, including educators, editors, reporters, recruiters and legal practitioners. The product is presented as a verification and writing-assistance resource rather than a content-creation tool.
Key features
EyeSift’s Detection Engine v3.2 comprises four specialized engines tuned to different media types. For text, the system applies statistical analysis and linguistic fingerprinting, producing measures such as perplexity scoring, burstiness evaluation, vocabulary diversity and n-gram pattern detection. Results include composite indicators like an AI confidence score and per-metric diagnostics.
Image analysis combines metadata and EXIF inspection with artifact detection and GAN fingerprint recognition. Video analysis uses frame-by-frame examination to evaluate temporal coherence and motion patterns for deepfake indicators. Audio analysis performs spectral analysis, voice-pattern comparison and synthesis-marker detection to identify synthetic or manipulated audio.
The site groups 21 tools across detection, writing and utilities. Writing and analysis tools listed include an AI Humanizer, plagiarism and grammar checkers, a paraphraser, summarizer, readability and tone analyzers, and keyword-density measurement. Utility tools include counters, case conversion, text comparison, PDF-to-text extraction, duplicate removal, text-to-speech, an embed widget and a Verified Human badge for integration.
Use cases
In education, instructors and institutions can use EyeSift to assess whether student submissions contain AI-generated text or other synthetic media, supporting academic integrity processes and investigative workflows.
In publishing and journalism, editors and reporters can screen manuscripts, articles and multimedia assets for signs of AI generation, including image artifacts and video deepfakes, before publication or during source verification.
In recruitment and legal contexts, recruiters and hiring managers can evaluate writing samples and cover letters for authenticity, while attorneys and compliance teams can examine filings and documents for synthetic content. Fact-checkers and content-moderation teams can add detection capability to review workflows via the site’s embed widget.
