Engineered for Developers

Compress PDFs Effortlessly.
Integrate in Minutes.

The high-performance PDF compression API engineered for maximum file size reduction, sub-second latency, and zero downtime in your application stack. **Focus on code, not compression complexity.**

Used by forward-thinking teams integrating AI & large-scale data workflows.

The Bottleneck

Large PDF files are a critical bottleneck. They slow down application uploads, inflate storage costs, drag down page load speeds, and ultimately degrade the user experience you worked so hard to build. Manually optimizing them is a time sink you can’t afford.

The PDF Squeezer Solution

PDF Squeezer provides proprietary, highly optimized compression algorithms delivered as a simple, powerful REST API. We handle the complexity of object-level optimization, image downsampling, and metadata scrubbing, so you only have to worry about one thing: **making the API call.**

Build Better Applications.

📐

Max Compression Ratio

Our proprietary engine delivers massive file size reductions (up to 80%) without visible degradation.

🚀

Sub-Second Latency

Globally distributed endpoints optimized for speed, ensuring real-time application responsiveness.

💻

Simple REST Integration

One clean, predictable endpoint. Integration is a matter of copy-pasting a few lines of code.

🔒

99.99% Uptime SLA

Built on resilient cloud infrastructure that scales automatically to handle your rapid growth.

Code is King. See how simple it is.

# Python Example: Send a PDF and configure compression via query params

import requests
import os

API_KEY = os.environ.get('PDF_SQUEEZER_KEY')
API_URL = 'https://api.pdfsqueezer.io/v1/compress'

# Define configuration parameters
params = {
    'quality': 85,              # 1-100: Image compression quality
    'max_dimension': 1600,      # Max width/height for image resizing
    'strip_metadata': True,     # Remove private metadata (EXIF, etc.)
    'convert_to_jpeg': True     # Convert all images to JPEG for optimal size
}

with open('original.pdf', 'rb') as f:
    files = {'file': f}
    headers = {'Authorization': f'Bearer {API_KEY}'}

    # Pass configuration via 'params' (URL query parameters)
    response = requests.post(API_URL, files=files, headers=headers, params=params)

if response.status_code == 200:
    with open('optimized.pdf', 'wb') as f:
        f.write(response.content)
    print("Compression Successful.")
    print(f"Ratio: {response.headers.get('X-Compression-Ratio')}")
else:
    print("API Error:", response.text)

Integration in 3 Simple Steps

Sign Up & Access

Create your developer account and instantly generate your secure API Key.

Make Your First Call

Send your file to the simple /compress endpoint and receive the optimized PDF.

Deploy & Scale

Deploy the integration into production. Our infrastructure scales automatically with your growth.

Stop Wasting Bandwidth. Start Optimizing.

You build the features. We’ll handle the optimization. Free up your development time and dramatically improve your application’s performance and user experience starting today.

Compress PDFs Effortlessly. Integrate in Minutes.