Detector de IA

Detector de IA is a Spanish-first bilingual web project for reviewing pasted text or supported documents with probabilistic AI-likelihood signals. Users can paste 300 to 100,000 characters or review extracted text from PDF, DOCX, TXT, MD, Markdown, and plain-text files under 12 MB. The report separates verdict, risk, AI-generated and likely-human scores, evidence strength, reliability notes, analysis bullets, sentence highlights, and limitations so people can inspect context instead of relying on one number. The project addresses a practical review problem for students, teachers, editors, content teams, researchers, and multilingual reviewers: a single detector score is hard to interpret. Detector de IA provides sentence-level context, lets users copy the report summary, and supports printable report export for a structured first pass. Results may include false positives or false negatives and should support manual review, not serve as proof of authorship, plagiarism, misconduct, or definitive AI use. Its source-confirmed implementation is a public web application with Spanish and English interfaces. PDF and DOCX text is extracted in the browser before detection, while TXT and Markdown inputs follow the document workflow. The profile intentionally omits unverified framework, hosting, adoption, and maker-biography details.