nutrientdocs/doc-split-v2

doc-split-v2 · commercial

One model that splits any document stream — short or long, English or not, forms or prose. The high-accuracy flagship for page-stream segmentation: hand it a merged/scanned PDF and it marks where each new document begins. Weights are commercial (not downloadable here); this page is a spec + scorecard.

It is the document specialist in a field of generalists — cloud VLMs and OpenPSS's own single-slice specialists each fall down somewhere; this one does short and long streams with one model. For the open-weight companion, see doc-split-v1.

• —🎯 Try it: doc-split-demo
• —🏆 Leaderboard: doc-split-leaderboard
• —📊 Benchmark: doc-split-benchmark
• —🟢 Open weights: doc-split-v1

Results — boundary F1 (κ)

This model vs the open doc-split-v1, the strongest cloud VLM, and prior work (bold = best releasable single model).

One balanced model, not two specialists. OpenPSS needs a separate short- and long-specialist (each craters on the other slice); the flagship does both with one model, and its OpenPSS-long (0.891) tops even OpenPSS's own long-specialist (0.83) and every cloud VLM (best 0.244). It also dominates the modern TABME++/Tobacco800 benchmarks. See the leaderboard for the full field.

Intended use & limits

• —Use it for: segmenting a stream of page images (a merged/scanned PDF) into its constituent documents — short or long, English or not, forms or prose. One model handles both sparse and dense boundary regimes; the embedded text layer sharpens boundaries when present, and scanned pages fall back to vision.
• —Limits: optimized for document page streams; confidence is calibrated on our-domain data, so very out-of-distribution scans are approximate. Boundaries only (not document type).

License & data

The model weights are offered under a commercial Nutrient license — deployed on-prem, so your documents never leave your infrastructure. The training set is not redistributed; evaluation runs on the held-out doc-split-benchmark.

### 📩 Get access doc-split-v2 is commercial and its weights are not downloadable here. To run it on-prem — one model for any stream, calibrated, private — contact Nutrient: [nutrient.io/contact-sales](https://www.nutrient.io/contact-sales/).

About the author

<a href="https://nutrient.io/"> <img src="https://avatars2.githubusercontent.com/u/1527679?v=3&s=200" height="80" /> </a>

This project is maintained and funded by Nutrient - The deterministic document infrastructure enterprises run their highest-stakes workflows on: replayable output, clear exceptions, and full audit trails on the messy, regulated documents where AI alone breaks.