Tag, compare, and learn faster

Error Analyzer is an open-source, AI-assisted application for qualitative error analysis. It provides a structured environment where users can upload paired texts, highlight and tag errors, and generate detailed reports. Optimized for cases where variation, correction, or revision is the focus of study, it supports projects ranging from learner language analysis to textual revision and pedagogical feedback.

Unlike commercial software, Error Analyzer is free to use and runs locally, ensuring data privacy and full user control. By combining systematic annotation with AI-driven insights, it streamlines workflows, reduces subjectivity, and helps uncover patterns that manual analysis may overlook. With its project-based organization, precise tagging, and integrated summaries, the tool enables researchers, educators, and students to advance the study of language through more rigorous, transparent, and reproducible practices.