Extract tables from PDFs and images

This guide explains how to extract table information from PDF documents using Document Engine.

Sending the request to extract data

To extract table data from a document, post a multipart request to the /api/build endpoint. In the instructions, specify the following output parameters:

  • type specifies the output type. Set this to json-content.
  • tables is a Boolean value that determines whether to extract table data.
  • language specifies the language used for recognizing text with optical character recognition (OCR). Sometimes, text is stored in a PDF or an image in a way that makes it so you cannot search or copy it. Nutrient’s OCR engine allows you to recognize text and save it in a separate file where you can both search and copy and paste the text.
Terminal window
curl -X POST http://localhost:5000/api/build \
  -H "Authorization: Token token=<API token>" \
  -F document=@/path/to/example-document.pdf \
  -F instructions='{
  "parts": [
    {
      "file": "document"
    }
  ],
  "output": {
    "type": "json-content",
    "tables": true,
    "language": "english"
  }
}' \
  -o result.pdf

For more information on the Build instructions, refer to the API Reference.

Example data extraction response 

{
  "pages": [
    {
      "pageIndex": 0,
      "tables": [
        {
          "confidence": 95.4,
          "bbox": {
            "left": 0,
            "top": 0,
            "width": 100,
            "height": 100
          },
          "cells": [
            {
              "bbox": {
                "left": 0,
                "top": 0,
                "width": 100,
                "height": 100
              },
              "rowIndex": 0,
              "columnIndex": 0,
              "isHeader": true,
              "text": "Invoice number"
            }
          ],
          "columns": [
            {
              "bbox": {
                "left": 0,
                "top": 0,
                "width": 100,
                "height": 100
              }
            }
          ],
          "lines": [
            {
              "bbox": {
                "left": 0,
                "top": 0,
                "width": 100,
                "height": 100
              },
              "isVertical": false,
              "thickness": 0
            }
          ],
          "rows": [
            {
              "bbox": {
                "left": 0,
                "top": 0,
                "width": 100,
                "height": 100
              }
            }
          ]
        }
      ]
    }
  ]
}