Automated README summary
Automatically summarized from the README on 26 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
DocJev is a Python library, CLI, and local app that classifies PDFs, DOCX, and PPTX files against natural-language category rules, or splits packets into ordered sub-documents with page ranges.
How it uses Jev
Jev predicts the document category from extracted page text, and for splitting predicts boundaries between component documents. Results appear as categories, probabilities, page ranges, and review flags; Jev supplies decisions and distributions, so the package does not invent explanatory rationales.
Primitives:choice
Technique worth stealing
Separate OCR timing from decision timing, and flag boundary scores within 0.1 of the threshold for review.
Try it
uv sync && uv run docjev doctor --smoke, then uv run docjev classify or split with --rules.
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectFound in material0.78
- Shows a System One patternnot found in the excerpt0.16
- Describes handling uncertaintynot found in the excerpt0.06
- Reports measured numbersFound in material0.96
- Is a runnable toolFound in material0.90
- Top-10 learning shortlist signalunclear0.51
- Is a replica of the modelnot found in the excerpt0.21
- Solves a common problem (0–2)score on a 0–2 scale1.56 / 2
- About JevFound in material0.98
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 26 Sept 2026.