DocBento AI Document Management

Thu, 01 Oct 2026 01:33:30 +0000

Private document AI with page-level citations

DocBento started from a practical problem: teams often have thousands of PDFs, scans, Office files and email attachments, but finding a trustworthy answer still means opening documents one by one. Generic chat tools can summarize text, yet they frequently lose the connection between an answer and the exact source page.

DocBento is a self-hosted document management platform that combines OCR, full-text retrieval and semantic search. Its AI assistant answers questions against the organization’s own library and cites the pages it used, so reviewers can verify the result instead of trusting an unsupported summary.

Core capabilities

PaddleOCR, Tesseract and optional cloud OCR engines
Hybrid full-text and semantic document search
AI answers with page-level citations
Folders, tags, approvals and document expiry reminders
Granular roles, restricted folders and audit logs
Support for PDF, images, Office files, email and other formats
FastAPI, React and Docker deployment for self-hosting

The platform is designed for teams that need control over data location, model providers and access policies. It can serve internal knowledge bases, compliance archives, client-document portals or review workflows. Administrators can choose offline components where privacy matters and connect external AI services only when their policies allow it.

The package includes editable source code and deployment documentation. See the complete feature list and screenshots on Codester.

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DocBento AI Document Management

Private document AI with page-level citations

Core capabilities