Jev in production › Document and record classification
Jove offers Jev as an opt-in hosted chooser model to tag scanned pages against a JSON schema inside its document-tagging pipeline (Discover Legal).
Jove turns scanned documents into structured data and a knowledge graph. Give it scanned pages (PDFs or images) and a data schema (a JSON Schema). It tags every piece of text with the schema field that text gives a value for, and it emits a JSONL graph for downstream systems, with exports to Obsidian, FalkorDB and TypeDB. Each tag carries a hash that points back to the exact page and bytes it came from.
It is a general tool: the schema is yours, and nothing in the pipeline is tied to one kind of document or one jurisdiction. The repo ships example schemas for legal intake, court filings (with e-signing and production-stamp data), flyers and posted notices, and document structure.
For the project's own README, linking back here: