Extract Key-Value Pairs Using C#

Information

PSPDFKit Processor has been deprecated and replaced by Document Engine. To start using Document Engine, refer to the migration guide. With Document Engine, you’ll have access to robust new capabilities (read the blog for more information).

Automatically detect and extract key-value pairs from unstructured documents or images with our native SDK. Leveraging AI, ML, and adaptive layout understanding, the key-value pair (KVP) engine is used to reduce manual and repetitive document processing tasks. It can automatically label and extract information such as phone numbers, IBANs, credit cards, names, and email addresses from unstructured or semi-structured documents. The engine recognizes KVPs in all supported OCR languages. Explore our guides and code samples to learn how you can quickly integrate our KVP technology into your application or workflow.

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Nutrient SDKs are deployed in some of the world’s most popular applications, such as those made by Autodesk, Disney, UBS, Dropbox, IBM, and Lufthansa.

Key Capabilities

  • Powered by AI and ML — 15+ years of continuous improvements in accuracy

  • Automatically detects key values and creates labels for data sets: phone numbers, IBANs, names, credit card numbers, and more

  • Leverages AI, ML, heuristics, mathematics, and adaptive layout understanding to identify key values

  • Works on all document types, including unstructured and semi-structured documents or documents without predefined data models

  • 100 percent control over your document security and privacy

Guides for Key-Value Pair Extraction

How Key-Value Pair Extraction Works
Learn how to use our key-value pair engine

Data Model
Learn about the data model behind the extraction technology

Confidence Score
Learn how confidence scores are determined

Data Types
Learn about automatically detected data types

Using the Data Extraction API
Learn how to extract data using the API

Extract Data from Bank Statements
Learn how to extract data from bank statements

Extract Data from Tables
Learn how to extract data from tables

Extract Text
Learn how to extract text from documents or images