About · Product and principles
Product scope and publishing principles
GenDetect is a free browser-based tool and publishing brand for screening AI-content signals. The current public version emphasizes explainability, local processing, and human review. It does not present a heuristic score as a calibrated source verdict or claim model and backend capabilities that have not shipped.
01 · Product scope
The site places a working detector, methodology, and verification guidance together so a user can see both a score and what that score can and cannot establish.
The current version requires no login, sign-up, or stored history. Text, images, and video are analyzed in the current browser for a quick initial screen. It is not an identity, academic-discipline, hiring, or legal decision system.
Open the GenDetect detectorText screening examines repetition, sentence length, punctuation, and character structure. Image screening samples color, brightness, texture, and edges. Video screening reads duration, resolution, bitrate, and container metadata. The scores are not interchangeable and cannot attribute a specific generator.
The score and factor list flag material worth reviewing. A stronger conclusion also needs the original file, content credentials, version history, an author explanation, publishing provenance, and contextual evidence—not a single detector result treated as a final verdict.
Read the AI content verification guide02 · Method and limits
The current implementation is a front-end heuristic demonstration, not a source classifier trained, calibrated, and continuously monitored on a representative dataset. Product copy and structured data must preserve that boundary.
Each input receives a score from an explicit combination of observable features, and the interface exposes supporting factors. The rules are inspectable, but language, genre, editing, compression, transcoding, sample length, and device processing can all change them.
Read the methodology and limitationsHuman writing can be repetitive or highly regular, real photos can be heavily processed, and ordinary video can have unusual bitrate. AI content can also be rewritten, edited, or transcoded to weaken signals. A high score is not proof, and a low score does not rule generation out.
Review accuracy and false positivesGenDetect currently compares features inside the submitted material. It does not search the web, paper repositories, or publishing databases for matching sources. AI detection, plagiarism checking, fact-checking, and provenance verification address different questions and may need to be combined.
Compare AI detection and plagiarism checking03 · Publishing and upgrade principles
GenDetect uses production code and public pages as the reference. A change to the algorithm, data flow, supplier, or account capability requires corresponding methodology, privacy, and interface updates.
Product pages and guides do not present a planned deep model, frame-by-frame video analysis, content-credential verification, or generator attribution as a current feature. A page date identifies the public disclosure version; it is not independent certification or an accuracy endorsement.
A future algorithm upgrade should document input scope, feature or model version, threshold rationale, representative test sets, false positives and false negatives, language or media differences, and uncovered cases before methodology and score explanations change.
Detection input is not currently uploaded to a backend. Before a recognition API, account, or cloud task launches, the interface must name submitted fields, purpose, suppliers, retention, deletion, training use, and user controls, with a synchronized privacy notice.
Read the current privacy notice