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Inside Nutrient

A guide to the invisible work behind documents Introducing Nutrient Documents for Salesforce: Native document generation and signing Document AI vs. traditional OCR: Choosing between OCR, AI, and hybrid pipelines PDF SDK compliance and security evaluation checklist for enterprise teams (2026) Invariant Corp replaces paper processes with Nutrient Workflow and scales without limits What is process mapping? A complete guide Nutrient vs. Conga Composer for Salesforce document generation (2026) Document routing: How to automate document distribution The CTO’s AI playbook: Why accountability architecture beats orchestration Compliance workflow automation: Why built-in compliance is table stakes Workflow diagrams: Examples, symbols, and how to build one that actually runs Digital forms: Replace paper forms with automated workflows Approval workflow software: How to automate approvals Why document-centric automation is different The CEO’s AI playbook: Why decision architecture beats model selection Nutrient SDK product updates for Q1 2026 PDF redaction verification: How to prove sensitive data is permanently removed What is a VPAT? The complete guide to accessibility conformance reports What is PDF/UA? The accessible PDF standard explained Salesforce eSignatures: Generate, sign, and track documents in one flow Online document viewer: Options, tradeoffs, and how to embed one Document viewer for web apps: React, Vue, Angular (2026) Best document viewers in 2026: A buyer’s guide How to edit a PDF in Python: Add text, images, and annotations Nutrient advances Workflow platform with agentic AI for enterprise-grade speed and consistency in document-heavy operations How to create a Salesforce quote template from opportunity data The business case for accessibility: Five ways it drives enterprise value Python PDF library comparison (2026): 7 libraries for developers Why your AI agent hallucinates PDF table data PDF.js limitations: When to upgrade to a commercial PDF SDK
Extract key-value pairs from documents with Nutrient Docu...
Hulya Masharipov · 2025-01-27 · via Inside Nutrient

Table of contents

    This tutorial shows you how to extract key-value pairs from PDF or image-based documents using the Nutrient Document Web Services API on Zapier. This is useful for automating data capture from receipts, invoices, forms, or contracts.

    Extract key-value pairs from documents with Nutrient Document Web Services API on Zapier

    What is Zapier?

    Zapier(opens in a new tab) is an automation platform that connects your favorite apps and services with no code required. You can build “Zaps” to automate repetitive tasks by setting up triggers and actions between apps like Google Drive, Slack, Gmail, and more.

    In this tutorial, you’ll learn how to use Zapier to automatically extract plain and structured text from PDF documents using Nutrient DWS Processor API.

    What is Nutrient DWS Processor API?

    Nutrient Document Web Services API is a powerful platform for document automation. With your free account(opens in a new tab), you get 50 credits, which you can use to perform various document operations. Each tool (e.g. conversion, signing, flattening) consumes a different amount of credits depending on complexity.

    Nutrient offers more than 30 tools with the ability to:

    What you’ll need

    Step 1 — Trigger a new file in a Google Drive folder

    1. Select Google Drive as the trigger app.

    Choose Google Drive as the trigger app

    1. Choose the New File in Folder trigger event.

    New File in Folder selected in trigger step

    1. Connect your Google Drive account.
    2. Configure the trigger:
    • In the Drive field, select your Google Drive.
    • In the Folder field, select or create a folder (e.g. kvp-input).

    Folder picker showing selected folder

    1. Test the trigger with a sample PDF or image file.

    Test trigger successfully detects a PDF file

    1. Select Nutrient Document Web Services API as the action app.

    Choose Nutrient DWS Processor API as the action app

    1. Choose the Extract Key-Value Pairs From PDF action.

    Select Extract KVPs from PDF as the action

    1. Connect your Nutrient account using your API key.

    Paste your Nutrient DWS Processor API key

    You can find your API key in the Nutrient dashboard(opens in a new tab).

    API key location in Nutrient dashboard

    1. Configure the fields:
    • Image File — Use the file from step 1.
    • File Name — Optional, e.g. extracted_kvp.json.

    Map the file URL and output name fields

    Make sure the files are publicly accessible or uploaded through a supported trigger like Google Drive.

    1. Run a test to confirm the key-value pairs are extracted.

    Test shows JSON with extracted KVPs

    Step 3 — Upload the JSON result to Google Drive

    1. Now, add another step by selecting Google Drive as the app and Upload File as the action event. Connect your Google Drive account if needed.

    Upload file action for storing the extracted JSON

    1. Configure the following:
    • In the Drive and Folder fields — Choose where to store the extracted data (e.g. kvp-output).
    • In the File field — Map the output from the Nutrient DWS Processor API step.

    Choose output location and map the JSON file

    To avoid Zap loops, use different folders for input and output.

    1. Run a test to verify the JSON file is uploaded successfully.

    Final step confirms JSON file is stored

    Conclusion

    You’ve just built a Zap that automatically extracts structured key-value pairs from PDFs or scanned image files. With Nutrient DWS Processor API(opens in a new tab), you can expand this flow to include OCR scanning, table extraction, annotations, and more.

    Explore related topics

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