How to convert DOCX to PDF using Python

Convert DOCX files to PDFs in Python using Nutrient’s DOCX-to-PDF Python API. The free plan includes 200 credits. Different operations consume different amounts of credits. Create a free account(opens in a new tab) to get your API key.

It’s now possible to view and edit Word, Excel, and PowerPoint documents directly in the browser, without any server-side processing required.

Why convert DOCX to PDF?

Converting DOCX files to PDF is essential for workflows requiring document standardization and sharing. Common use cases include:

• Document preservation — Convert Word documents to PDFs to preserve formatting, fonts, and layouts regardless of software or device used to view them.
• Professional distribution — Share contracts, reports, and proposals in a universal format that maintains consistent appearance across all platforms.
• Compliance and archiving — Create tamper-resistant records for legal compliance, audit trails, and long-term document storage.
• Print-ready documents — Ensure documents print exactly as intended without formatting issues or missing fonts.
• Version control — Lock document formatting to prevent accidental edits while allowing controlled review and approval processes.

The DOCX-to-PDF API automates this process in your workflow.

Nutrient DWS Processor API

Converting DOCX to PDF is one of 30+ operations available through our PDF API tools. Combine DOCX-to-PDF conversion with other tools for complex workflows:

• Converting various file formats and consolidating them into PDFs
• Converting DOCX files and then watermarking and flattening the PDFs
• Processing multiple DOCX files before merging them into a single PDF

Your account includes access to all 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 DOCX-to-PDF API.

Step 3 — Setting up folders and files

Now, create a folder called docx_to_pdf 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 docx_to_pdf and name them input_documents and processed_documents.

Copy your DOCX file to the input_documents folder and rename it to document.docx. You can use our demo document as an example.

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

Your folder structure will look like this:

docx_to_pdf
├── input_documents
|    └── document.docx
├── processed_documents
└── processor.py

Step 4 — Installing dependencies

Install the required requests library:

pip install requests

Step 5 — Writing the code

Now, open the processor.py file and paste the code below into it:

import requests
import json

response = requests.request(
  'POST',
  'https://api.nutrient.io/build',
  headers = {
    'Authorization': 'Bearer YOUR_API_KEY_HERE'
  },
  files = {
    'file': open('input_documents/document.docx', 'rb')
  },
  data = {
    'instructions': json.dumps({
      'parts': [
        {
          'file': 'file'
        }
      ]
    })
  },
  stream = True
)

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

Code explanation

The code imports the requests library for HTTP operations and json for formatting instructions. It creates a POST request to the Nutrient API with three key components:

• headers — Authorization with your API key.
• files — The input DOCX file as binary data.
• data — JSON instructions specifying how to process the file.

The response streams back as a PDF file, which the script saves to the processed_documents folder.

Output

To execute the code, use the following command:

python3 processor.py

On the successful execution of the code, you’ll see a new processed file named result.pdf in the processed_documents folder.

The folder structure will look like this:

docx_to_pdf
├── input_documents
|    └── document.docx
├── processed_documents
|    └── result.pdf
└── processor.py

Additional resources

Explore more ways to work with Nutrient API:

• Postman collection — Test API endpoints directly in Postman
• Zapier integration — Automate document workflows without code
• MCP Server — PDF automation for LLM applications
• Python examples — Official Python code examples and documentation

Conclusion

This tutorial covered converting DOCX files to PDF documents in Python using the DOCX-to-PDF Python API.

You can integrate these functions into existing applications. The same API token enables other operations like merging documents, adding watermarks, and more. Sign up(opens in a new tab) for a free trial.

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