Enhance resolution by up to 16x with deep-learning super-resolution models. The Pixazo Upscaler API processes images and video frames through multi-pass neural networks, reconstructing detail that traditional interpolation cannot recover. Ideal for e-commerce catalogs, print-on-demand pipelines, archival restoration, and real-time video enhancement workflows.
AI Image & Video Upscaler APIs
Access AI Image & Video Upscaler APIs to increase image and video resolution without quality loss. Upscale with Crystal Upscaler, SeedVR, and Topaz via Pixazo API.
Explore AI Image Upscaler API Models
Browse and compare the best AI image and video upscaler API models. Filter by capability, check supported features and output quality, and pick the right model for your project.
AI Image & Video Upscaler APIs
How the Upscaler Works
A four-stage pipeline that analyzes, enhances, reconstructs, and delivers sharpened output -- all through a single API call.
Built for Real Workflows
From automated product photography pipelines to archival digitization -- upscaling that fits where you already work.
Why Developers Choose Pixazo Upscaler
Honest trade-offs, not just marketing claims. Here's what the API actually delivers -- and where its limits are.
Quick Start
A single API call is all you need. Here's a cURL example that upscales an image by 4x.
# Upscale an image 4x via the Pixazo API
curl -X POST https://api.pixazo.ai/v1/upscale \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image_url": "https://example.com/photo.jpg",
"scale_factor": 4,
"output_format": "webp",
"denoise": true
}'
# Response
{
"status": "success",
"output_url": "https://cdn.pixazo.ai/upscaled/abc123.webp",
"original_size": "1920x1080",
"output_size": "7680x4320",
"processing_ms": 2840,
"confidence": 0.92
}
Frequently Asked Questions
What image formats does the Upscaler API accept? +
What is the maximum upscale factor? +
How does pricing work for the Upscaler API? +
Can the upscaler fix blurry or heavily compressed images? +
Is there a batch endpoint for bulk processing? +
/v1/upscale/batch endpoint accepts an array of up to 50 images per request. Results are returned via a webhook callback or can be polled from a status endpoint. Batch processing is ideal for e-commerce catalog updates and archival digitization projects.

