XPndAI builds custom PDF data extraction APIs that convert unstructured PDF documents into clean, structured JSON — handling any PDF type: scanned, digital, forms, tables, and complex layouts.
Native PDFs, scanned documents, image-heavy PDFs, form PDFs, and multi-column layouts — our AI handles every variation without template configuration.
Accurate extraction of complex nested tables, merged cells, multi-page tables, and PDF form fields — structured data output, not flat text dumps.
Structured output in JSON, CSV, or custom schema — exactly the fields you need, named how your downstream systems expect them.
Extracts text and structured data from PDFs in English, Hindi, and other Indian scripts — including mixed-language documents.
Process thousands of PDFs per hour with async batch APIs — built for high-volume enterprise workflows like invoice processing and KYC automation.
Deploy the extraction API within your VPC or on-premise server — sensitive financial and medical PDFs never leave your controlled infrastructure.
A law firm needed to extract structured data from thousands of historical court orders and agreements in their archive. Our PDF extraction API processed the entire library — extracting case details, dates, parties, and order type into a searchable database enabling instant precedent research.
An asset management firm automated extraction from quarterly financial reports of portfolio companies. Our API extracts P&L, balance sheet, and cash flow tables from PDF annual reports of any format — feeding structured financial data into their portfolio analytics system automatically.
Talk directly to our lead engineers. We audit your requirements, propose the exact architecture, and give you a transparent roadmap — all in one call.