Find evidence in the real workspace
Index local PDFs, Word files, spreadsheets, Markdown, notes, and images once, then search them like one connected body of knowledge.
Local-first AI workspace for document-heavy work
Document.Bot helps you find answers faster, update existing files with AI, and keep sensitive document work local.
Built for researchers, legal and policy teams, and knowledge workers working across messy folders, mixed file types, and high-trust workflows.
Index local PDFs, Word files, spreadsheets, Markdown, notes, and images once, then search them like one connected body of knowledge.
Work against real documents while the surrounding context stays visible, so edits happen in place instead of in detached chat sessions.
Proposed changes, source references, and model choice stay visible, which matters when the work is sensitive or operationally important.
Positioning
Those tools each do part of the job. Document.Bot is for the gap between them: indexed workspaces, grounded retrieval, editing existing documents, and reviewable AI changes.
Excellent for codebases, but not designed for document-heavy legal, research, and policy work spread across office file formats.
Strong chat experience, but detached from the real workspace and repetitive when files need to be uploaded again and again.
Good editor, but limited in provider choice, workspace retrieval, and source-grounded AI review loops.
Combines indexed workspace access, evidence retrieval, in-place editing, model choice, and reviewable AI changes in one document-native workflow.