The functionality of VeriIA is structured around a straightforward, three-step process: pasting the content, initiating the detection scan, and then reviewing the detailed output. Users can analyze content via direct pasting or by uploading common file types such as .txt and .docx. The system automatically identifies the language, optimizing analysis for both Spanish and English submissions, and provides a high-level probability percentage indicating the likelihood of machine generation. Crucially, sensitive content uploaded for analysis is treated with strict confidentiality; the data is encrypted, never shared, and is explicitly not used to train other models, thereby securing user trust.
Beyond its core detection service, VeriIA offers an integrated toolkit to enhance overall text quality and credibility. This suite includes a plagiarism checker to verify originality against web and academic sources, a text compare function to track revisions between drafts, and a word counter for adherence to specific length requirements. This comprehensive approach ensures that once a text passes the originality check, it can also be polished for structure and compliance, supporting various professionals from university students and educators to content creators, journalists, and marketing teams in safeguarding their published material.
