Jev in production › Document and record classification

Jove

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).

Open on GitHub ↗

The source publishes no measured number.
Use
Document and record classification
Industry
Data and analytics
Form
Open-source tool
Stage
Announced
Listed
2026-10-23
Found via
github
Repository
discover-legal/Jove
Stars
5
Forks
0
Last push
2026-10-23
Language
Python
License
Apache-2.0

The README opens with

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.

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For the project's own README, linking back here:

Listed in Jev in production

Also used for document and record classification