Universal ingestion
Centralize contracts, minutes, certificates, reports and attachments. PDF and image support — the original base is preserved while structural intelligence is added in parallel.
DocTree uses NER (named entity recognition) to extract entities — people, organizations, properties and others — and turns every occurrence into a relational layer across documents. The result is discovery through connections, not static folders.
Instead of treating documents as final storage items, DocTree converts them into a source for building an entity and connection structure that can be continuously explored.
Centralize contracts, minutes, certificates, reports and attachments. PDF and image support — the original base is preserved while structural intelligence is added in parallel.
People, organizations, properties, cases and custom entities stop being mere text mentions and become navigable objects with history, links and context.
The system connects documents based on entity recurrence and co-occurrence, revealing links and dependencies that traditional folder organization would never surface.
Query and interpret sets of related documents using only natural language.
Granular access control, full audit trail, encryption and data isolation for environments that require traceability and operational compliance.
Start with a few documents and expand to high-volume operations without losing connectivity logic, relational exploration and archive intelligence.
DocTree is not document management with AI. It is a relational intelligence layer for context discovery within your archive.
The limit only counts documents stored in your account. Documents received via sharing are not counted.
Starter plan for individual use.
More capacity for your operation.
Real scale for high-volume teams.
For specific needs and larger volumes.
Connect documents, entities and operational context in a single surface. DocTree turns dispersed archives into a structure ready for exploration and decision-making.