PDF AI-Precision-focused Data Extraction

Example

Converting textual and numerical information from PDF purchase orders into structured JSON format.

Scenario

A construction project manager receives a purchase order in PDF format from a supplier. Using PDF AI, they can extract details such as product names, quantities, unit prices, and total cost, converting them into a JSON object for easy import into their financial management software.

Example

Organizing extracted data into a hierarchical JSON structure that mirrors the complex relationships between different data elements in a construction project.

Scenario

An inventory manager needs to update the materials database with new items from various purchase orders. PDF AI can parse these documents, categorize materials by type, and structure the data in a nested JSON format that aligns with the database schema, simplifying the update process.

Example

Identifying ambiguities or incomplete data in purchase orders and requesting user input for clarification.

Scenario

During the extraction process, PDF AI encounters a purchase order with an ambiguous material description. It prompts the user to specify the material, ensuring the output JSON accurately reflects the intended items, thus maintaining data integrity for project planning and execution.