Intelligent PDF Data Extraction

Businesses and developers frequently need to extract structured information like text, tables, and form data from PDF documents. However, PDFs are designed for visual consistency, not machine readability. This leads to major challenges, as internal data can be fragmented, non-sequential, or missing entirely (as in scanned documents), making reliable data extraction a complex and error-prone process. Traditional parsing methods often fail on the vast variety of real-world PDFs.

A powerful API that leverages advanced computer vision and AI models can solve this. By treating the PDF as a visual document—much like a human does—the service converts pages to images, analyzes the layout, and then applies specialized OCR and data recognition models. This approach reliably extracts text in the correct reading order, identifies tables and other structures, and works even on scanned or poorly formatted files, providing clean, structured JSON data as output.