document-extraction

To extract structured data from a PDF, provide your document and a JSON schema to define target fields. The system parses the content, extracts the specified data, and returns it with per-field traceability and visual grounding.

Yes, you can parse large documents asynchronously up to 1GB or 1000 pages. The system processes these large files in the background and returns structured Markdown alongside the extracted data upon completion.

Visual grounding in document extraction identifies the exact location of data within a source page. It provides bounding boxes and page numbers to visually highlight where specific extracted information appears in the original document.

You can split a multi-document batch by classifying pages or files by document type. This enables batch routing and parallel processing by separating mixed documents into structured, single-type groups for downstream processing.

Yes, document extraction works with images and spreadsheets. It applies layout understanding to parse these diverse formats into structured Markdown, allowing you to easily extract specific data fields from various file types.

The best way to convert document content into Markdown is through automated intelligent document processing. It applies layout understanding to parse PDFs and images, returning structured Markdown for easy downstream processing.