TypeFlow

Aitor Garcés-Manzanera (University of Murcia) is the creator and lead developer of TypeFlow. Developed for academic research in collaboration with the L2WRITE Group.

L2WRITE Group

Keystroke logging for writing research

Record keystrokes, pauses, revisions and focus events in browser-based L2 writing tasks. Export research-ready XLSX data and final texts.

Open Core Manual No installation · physical keyboard recommended

TypeFlow Eye + Replay Studio

Eye tracking and keystroke logging, replayed together

This example was recorded with TypeFlow Eye, which synchronizes webcam-based eye tracking with keystroke logging. Replay Studio then reconstructs the session so gaze, pauses, revisions and the evolving text can be examined in sequence.

Explore Replay Studio
TypeFlow Eye session: webcam eye tracking synchronized with keystroke logging · 1 min 25 sec

Latest release

TypeFlow Research Suite V35 What’s new

Eye Engine 0.3.13 · Replay V35

One suite across writing environments
Core, Multi and Slides now share the same Eye data pipeline and research definitions while preserving the layout, objects and analytical context specific to each writing environment.
More consistent Eye capture
Eye Engine 0.3.13 strengthens frame, camera-timing and coordinate integrity. Raw samples and all calculable gaze, fixation, inter-fixation transition and AOI results remain available for later review.
Non-intrusive validation
Eye sessions use calibration and immediate validation before writing, followed by an optional post-task validation. No scheduled mid-session check interrupts the writing process.
Transparent quality evidence
Core, Multi and Slides report comparable evidence on sampling, missing data, off-screen gaze, tracking loss, reacquisition and spatial validation, with explicit denominators and exact provider, engine and model provenance. Low quality is reported without deleting recorded data or calculable results.
More reliable Replay
Replay reads the new quality evidence, remains compatible with earlier workbooks and improves the reconstruction of revisions and multilingual text, including Chinese, Japanese and Korean input.
Research status
TypeFlow Eye remains an experimental webcam-based research system. It has not yet been validated against a reference eye tracker, so researchers should pilot it in their target setting, report the exact version used and retain the exported quality evidence.