Extracting JSON data from a PDF document
Extract structured data from PDF files as JSON for storage, API workflows, or analytics pipelines. This approach reduces manual entry and gives your application direct access to document content.
Download sampleHow Nutrient supports this workflow
Nutrient Java SDK handles structured extraction from PDF documents, including digital-native PDFs and PDFs that mix digital text with scanned content.
In this sample, VisionEngine.AdaptiveOcr uses an adaptive extraction pipeline that prefers native PDF text when available and falls back to OCR for image-based content when needed.
You don’t need to manage:
- Third-party OCR engine integration
- Switching between native-text extraction and OCR
- Document layout parsing
- Model download and initialization
- Conversion from extracted output to structured data
Use the SDK API to extract structured JSON in your application.
Complete implementation
This example shows a complete PDF-to-JSON extraction flow.
Specify a package name and create a new class:
package io.nutrient.Sample;Import the required classes from the SDK:
import io.nutrient.sdk.Document;import io.nutrient.sdk.Vision;import io.nutrient.sdk.enums.VisionEngine;import io.nutrient.sdk.exceptions.NutrientException;
import java.io.FileWriter;import java.io.IOException;
public class JsonDataExtraction {Create the main method and declare thrown exceptions:
public static void main(String[] args) throws NutrientException, IOException {Open the PDF with try-with-resources so the document closes automatically:
try (Document document = Document.open("input.pdf")) {Configure the Adaptive OCR engine, extract JSON content, and write it to output.json:
document.getSettings().getVisionSettings().setEngine(VisionEngine.AdaptiveOcr);
Vision vision = Vision.set(document); String contentJson = vision.extractContent();
try (FileWriter writer = new FileWriter("output.json")) { writer.write(contentJson); } } }}Summary
The extraction flow has four steps:
- Open the PDF document.
- Configure the Adaptive OCR engine.
- Extract content as JSON with
Vision. - Write the JSON output to a file.
Nutrient handles adaptive extraction and content structuring, so you don’t need to implement PDF parsing, native-text detection, or OCR fallback logic.
You can download this sample package to run the example locally.