Stop Losing Track of What Changed in Your Research

Tracking Revisions Across Drafts

Academic writing accumulates versions faster than almost any other kind of document. A manuscript goes out to co-authors, comes back from three of them in different files, gets restructured for a different journal's requirements, and returns from peer review with revisions that must be demonstrably addressed. Somewhere in that cycle a citation changes, a figure reference shifts, or a methodological qualifier is dropped.

LineDiff compares drafts directly, including Word manuscripts and PDF submissions, so a revision round can be reviewed as a change set rather than a re-read. For supervisors, this makes it possible to see exactly what a student changed between chapters instead of reconstructing it from memory. For response-to-reviewer letters, it produces the evidence that a specific requested change was actually made.

The AI Academic domain focuses on what matters in scholarly text: changed claims, altered hedging, modified citations, and shifts in stated methods. Because unpublished research is sensitive before it is public, the comparison runs locally and cloud storage is encrypted client-side.

Common Questions from Researchers

Can I compare a Word manuscript with a PDF submission?

Yes. Text is extracted from both formats first, so cross-format comparison between a working draft and a submitted PDF works normally.

Is this useful for response-to-reviewer letters?

Yes. The comparison provides a precise record of what changed between submission and revision, which is exactly what a response letter needs to evidence.

Is unpublished work sent to a server?

No. The diff runs in your browser, and if you enable cloud features the content is encrypted client-side before it leaves your device.