Error Analyzer is an open-source, AI-assisted web application developed to make qualitative error analysis faster, clearer, and more rigorous. The application is designed to support systematic annotation and to lower the degree of subjectivity that often accompanies manual analysis, while still preserving the researcher’s interpretive role.
The platform provides a structured environment in which researchers can upload texts, compare paired versions, highlight and consistently tag errors, and generate detailed reports. Unlike commercial software, it is entirely free to use and runs locally on your own computer, ensuring both data privacy and full user control.
By combining the precision of traditional linguistic annotation with the speed and depth of modern AI-driven insights, Error Analyzer enables researchers to identify patterns that are frequently overlooked in manual workflows. Automated suggestions, summaries, and visualizations reduce repetitive tasks, allowing users to concentrate on interpretation, theoretical development, and pedagogical applications. With its reproducible workflows, transparent tagging system, and flexible project management, the tool provides researchers, educators, and students with a powerful means of advancing the study of language without financial or technical barriers.
