jev-information-extraction

Project facts

Relationship to Jev

Jev application

Evidence

Documented

Language

Python

License

Not reported; check the repository

Origin

Original repository

Repository status

Not archived

Created

2026-09-20

GitHub stars

2

Evidence checked

2026-09-24T12:12:35.000Z

Metadata checked

2026-09-24T12:12:35.000Z

Check status

current

Stars measure the whole repository, including work unrelated to Jev.

Evidence and scope

Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.

This interactive demo uses **TypeSafe's `jev-latest` model** through the Python SDK's `system_one` API. It turns extracted PDF text into candidate answers for natural-language questions such as ?What is the GST number?? or ?What is the total invoice amount??. A FastAPI service runs the evaluation and serves the Oat UI frontend from one URL.

Evidence commit: e60f12b67e674182c2b39762002fc5b14c0f389c

Discovered through: awesome-jev.