How to convert TIFF files to PDF using Python

Convert TIFF files to PDF using our TIFF-to-PDF Python API. Start with 200 free credits — no payment required. Different operations consume different credit amounts, so the number of PDF documents you can generate will vary. Create a free account(opens in a new tab) to get your API key.

Why convert TIFF to PDF?

Converting TIFF files to PDF is essential for document workflows that require standardized, shareable formats. Common use cases include:

• Universal compatibility — Convert TIFF images to PDFs that open on any device without specialized software, ensuring recipients can view documents regardless of platform.
• Reduced file sizes — Multipage TIFF files often compress better as PDFs, reducing storage costs and improving transfer speeds for document-heavy workflows.
• Enhanced security — Add password protection, digital signatures, and encryption when converting to PDF, securing sensitive scanned documents or medical records.
• Web integration — PDFs render consistently in browsers, while TIFFs require plugins or downloads, improving user experience for web-based document viewers.
• Archival compliance — Many industries require PDF/A format for long-term document preservation, making TIFF-to-PDF conversion critical for regulatory compliance.

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

Nutrient DWS Processor API

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

• Converting various file formats and combining them into multi-source PDFs
• Converting TIFFs and then watermarking and flattening PDFs
• Converting images to PDF before merging them with other documents

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 see a page showing an overview of your plan details.

You’ll start with 200 credits to process and can 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 — you’ll need it for the TIFF to PDF API.

Step 3 — Setting up folders and files

For this tutorial, use VS Code as your code editor. Create a folder called tiff_to_pdf and open it in VS Code. Create two folders inside tiff_to_pdf called input_documents and processed_documents.

Paste your TIFF file inside the input_documents folder. You can use our demo image as an example.

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

Your folder structure will look like this:

tiff_to_pdf
├── input_documents
|    └── image.tiff
├── 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

response = requests.request(
  'POST',
  'https://api.nutrient.io/build',
  headers = {
    'Authorization': 'Bearer YOUR_API_KEY_HERE'
  },
  files = {
    'file': open('input_documents/input.tiff', '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 required packages and creates the request with instructions for converting the TIFF file to PDF.

It calls the API using the requests module and checks the response status. If successful, it stores result.pdf in the processed_documents folder.

Output

To execute the code, run the command below:

python3 processor.py

On successful execution, you’ll see the new PDF file in the processed_documents folder. The folder structure should look like this:

tiff_to_pdf
├── input_documents
|    └── document.tiff
├── 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
• JavaScript SDK — Official JavaScript/TypeScript library

Conclusion

This tutorial showed how to convert TIFF files to PDF in Python using our TIFF-to-PDF API.

Integrate TIFF conversion into your existing applications. Use the same API token for other operations like merging documents, adding watermarks, and more. Sign up(opens in a new tab) for a free trial.

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