We built Docmods because Word documents are still the final boss in legal, ops, and enterprise workflows and existing tools treat them like dumb blobs. PDFs get all the love. .docx gets duct tape.
The pain was simple and very real: teams needed to review, edit, redline, and transform Word docs at scale without breaking formatting, losing track changes, or copy-pasting through five tools. “Just use ChatGPT” fails immediately once comments, revisions, styles, or real collaboration matter.
So we took a different approach:
Native .docx understanding, not text extraction hacks
Real track changes, comments, and redlines preserved
Deterministic edits you can trust, not vibes
Built for workflows, not demos
Think of it as “Lovable for Word documents”, but engineered for people who actually ship contracts, policies, and paperwork for a living.
We’re early and shipping fast. I’d love feedback on:
Where doc workflows still hurt the most
Features you wish Word + AI already had
Use cases we should obsess over next
Report
“Lovable for .docx” is a great way to describe it. In early usage, what did people find most valuable, editing with track changes or transforming/restructuring long documents quickly?
Morph: Subagents for Better Code Gen
“Lovable for .docx” is a great way to describe it. In early usage, what did people find most valuable, editing with track changes or transforming/restructuring long documents quickly?