Unlock the full potential of your eye-tracking research with asc2csv, a Python package designed to transform raw EyeLink .asc files into clean, structured CSV datasets.

Are you tired of manual parsing and inconsistent data formats? This tool automates the conversion process, extracting gaze coordinates, timestamps, and critical behavioral events—blinks, saccades, and fixations—into an intuitive, analysis-ready format.

Key Features

Effortless Conversion: Rapidly convert complex `.asc` files into organized CSV outputs, preserving every detail for seamless integration with tools like Pandas, R, or Excel.

– Event-Driven Insights:

Capture precise behavioral metrics, including `EBLINK` (blinks), `ESACC` (saccades), and `EFIX` (fixations), to explore attention patterns and cognitive processes.

– Temporal Precision

Align all timestamps relative to trial start times, enabling consistent cross-session and cross-participant temporal analysis.

– Data Integrity:

Intelligently handle missing data by merging event metadata with sample-level gaze points, ensuring no critical detail is overlooked.

Why Choose asc2csv?

Whether you’re studying visual attention, usability, or experimental psychology, asc2csv eliminates the friction of preprocessing. Spend less time wrangling data and more time uncovering insights. Built for researchers by a researcher, this tool empowers you to focus on what matters: turning raw eye-tracking data into compelling scientific stories.