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.
Desktop AI workspace app 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.
EU AI routing
Document.Bot can run online model calls through EURouter when EU data residency and GDPR-sensitive workflows matter. Teams can also connect EU-hosted Azure, AWS, or Google Vertex environments while keeping provider choice visible inside the same document workspace.
Offline and self-hosted
For higher-sensitivity data, Document.Bot also supports local and self-hosted AI models through LM Studio and Ollama, so teams can work without sending prompts or document context to an online model.
Industry deployments
Document.Bot can be packaged as a white-label document AI workspace for teams that serve regulated customers. Bring your industry content, workflows, and integrations; we adapt the product around the documents your customers already depend on.
Private research, matter-specific workspaces, and review flows around contracts, policies, discovery, or regulatory files.
Controlled document workflows for clinical, quality, training, and compliance teams that need clear model and data boundaries.
Custom integrations for manuals, procedures, compliance libraries, and operator documentation where traceability and review matter.
How does it compare?
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.