Financial institutions and insurers that receive PDFs containing multiple document types for a single customer or application.
Healthcare systems ingesting patient records received as batched PDFs.
Accounting departments processing PDFs containing multiple invoices and receipts.
Organizations managing product catalogs where one PDF contains specifications for multiple products.
LLM prompting works for simple cases, but production pipelines break for very long documents or when there are hundreds of classes to detect. ADE Split is built for that reality — handling the full complexity of enterprise documents without manual intervention or silent failures.
Define hundreds of sub-document classes such as resume, invoice, pay stub, credit report, etc.

Provide an identifier to separate pay stubs by date, invoices by vendor, or credit scores by name.

Create a reusable pipeline to Parse, then Split, then Extract from each sub-document type found at scale.

Starting PDFs with hundreds of pages. Categorization schemas with hundreds of classes. Split can handle it.
Read the Docs for Split →
Use the Agentic Document Extraction Visual Playground for rapid prototyping and experimentation.
Then transition seamlessly to the REST API, Python library, or TypeScript library. Split is in Preview.
Provide our Agent Skills directly to agentic coding assistants to accelerate your development.
curl -X POST 'https://api.va.landing.ai/v1/ade/split' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-F 'markdown=@markdown.md' \
-F 'split_class=[{
"name": "name",
"description": "description",
"identifier": "identifier"
}]' \
-F 'model=split-latest'split_class = [
{
"name":"Bank Statement",
"description": "Description goes here."
},
{
"name": "Pay Stub",
"description": "Description goes here",
"identifier": "Pay Stub Date",
}
]
split_response = client.split(
split_class=json.dumps(split_class),
markdown=parse_response.markdown,
model="split-latest",
)Split returns nested JSON which contains the page ranges for each sub-document class and each identifier.