How to convert PDF to JPG using Python

In this post, you’ll learn how to convert PDF files to JPG images using Nutrient’s PDF-to-JPG Python API. With our API, you receive 200 credits with the free plan. Different operations on a document consume different amounts of credits, so the number of PDF documents you can generate may vary. All you need to do is create a free account(opens in a new tab) to get access to your API key.

Nutrient API

Document conversion is just one of our 30+ PDF API tools. You can combine our conversion tool with other tools to create complex document processing workflows. With Nutrient API, you’ll be able to convert PDFs to image formats and vice versa. You can also integrate the ability to convert Office files, HTML files, and various other file formats to PDFs and images into your application.

Additionally, you can use the API to perform operations on PDFs before converting them into images, such as:

• Merging several PDFs into one
• Editing, watermarking, and flattening PDFs
• Removing or duplicating specific PDF pages

Once you create your account, you’ll be able to access all our PDF API tools.

Step 1 — Creating a free account on Nutrient

Go to our website(opens in a new tab), where you’ll see the page below, prompting you to create your free account.

Once you’ve created your account, you’ll be welcomed by a page showing an overview of your plan details.

You’ll start with 200 credits to process, and you’ll be able to access all our PDF API tools.

Step 2 — Obtaining the API key

After you’ve verified your email, you can get your API key from the dashboard. In the menu on the left, click API Keys. You’ll see the following page, which is an overview of your keys:

Copy the Live API Key, because you’ll need this for the PDF-to-JPG API.

Step 3 — Setting up folders and files

Now, create a folder called pdf_to_jpg and open it in a code editor. For this tutorial, you’ll use VS Code as your primary code editor. Next, create two folders inside pdf_to_jpg and name them input_documents and processed_documents.

Now, copy your PDF file to the input_documents folder and rename it to document.pdf. You can use our demo document as an example.

Then, in the root folder, pdf_to_jpg, create a file called processor.py. This is the file where you’ll keep your code.

Your folder structure will look like this:

pdf_to_jpg
├── input_documents
|    └── document.pdf
├── processed_documents
└── processor.py

Step 4 — Writing the code

Open the processor.py file and paste the code below into it:

import requests
import json

instructions = {
  'parts': [
    {
      'file': 'document'
    }
  ],
  'output': {
    'type': 'image',
    'format': 'jpg',
    'dpi': 500
  }
}

response = requests.request(
  'POST',
  'https://api.nutrient.io/build',
  headers = {
    'Authorization': 'Bearer YOUR API KEY HERE'
  },
  files = {
    'document': open('input_documents/document.pdf', 'rb')
  },
  data = {
    'instructions': json.dumps(instructions)
  },
  stream = True
)

if response.ok:
  with open('processed_documents/image.jpg', 'wb') as fd:
    for chunk in response.iter_content(chunk_size=8096):
      fd.write(chunk)
else:
  print(response.text)
  exit()

Code explanation

In the code above, you first import the requests and json dependencies. After that, you create the instructions for the API call.

You then use the requests module to make the API call, and once it succeeds, you store the result in the processed_documents folder.

Output

To execute the code, run the command below:

python3 processor.py

On successful execution, you’ll see a new processed file, image.jpg, located in the processed_documents folder.

The folder structure will look like this:

pdf_to_jpg
├── input_documents
|    └── document.pdf
├── processed_documents
|    └── image.jpg
└── processor.py

Final words

In this post, you learned how to easily and seamlessly convert PDF files to JPG images for your Python application using our PDF-to-JPG Python API.

You can integrate all of these functions into your existing applications. With the same API token, you can also perform other operations, such as merging several documents into a single PDF, adding watermarks, and more. To get started with a free trial, sign up(opens in a new tab) here.