What it is
A Python library, CLI, and local app that classifies a PDF, DOCX, or PPTX against natural-language category rules, or splits a packet into ordered sub-documents with page ranges. Built for document-pipeline developers.
How it uses Jev
Jev predicts the document category or the boundaries between component documents from LiteParse page text. Classification returns one category, probabilities, and review flags; splitting returns ordered categories and page ranges, optionally exporting per-document PDFs.
Primitives:choice
Technique worth stealing
Separate OCR and decision timing, and keep continuation pages together while treating different references as separate documents.
Try it
uv sync && uv run docjev doctor --smoke, then classify or split with rules YAML.
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricyes0.80
- Shows a System One patternno0.22
- Handles uncertaintyno0.04
- Measuredyes0.96
- Runnableyes0.91
- Worth recommendingyes0.63
- Model replicaunclear0.49
- Problem scopescore on a 0–2 scale1.59
- About Jevyes0.97
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 21 Sept 2026.