What is Sharpen AI model?

Sharpen is an AI-powered image enhancement model designed to improve image quality, reduce noise, enhance details, and restore clarity to blurry or low-quality images.

What types of image enhancement does Sharpen provide?

The model offers multiple enhancement capabilities including image upscaling, noise reduction, detail enhancement, sharpness improvement, and overall quality restoration.

What input image formats are supported?

Sharpen supports common image formats including JPEG, PNG, and WebP for both input and output processing.

How much does Sharpen cost to use?

Pricing is based on image processing and starts at competitive rates for AI image enhancement services. Check the AIMLAPI pricing page for current rates.

How do I access the Sharpen API?

Access through OpenAI-compatible API endpoint using your AIMLAPI key with the model identifier 'sharpen' for image enhancement requests.

What are common use cases for Sharpen?

Common applications include photo restoration, improving low-quality images, enhancing details in product photos, preparing images for print, and improving social media content quality.

Does Sharpen support batch image processing?

Yes, the API supports processing multiple images in batch requests for efficient enhancement of multiple images at once.

What is the maximum image size supported?

The model supports standard image dimensions with optimal results on typical photo sizes. Check documentation for specific size limitations and recommendations.

Can Sharpen enhance old or damaged photos?

Yes, Sharpen is particularly effective at restoring old photos, reducing scratches and noise, and enhancing faded details in historical images.

Is there a quality difference between input and output?

Yes, Sharpen significantly improves image quality by enhancing sharpness, reducing compression artifacts, improving details, and overall producing clearer, more professional-looking images.

Sharpen — One API 200+ AI Models

Sharpen

Topaz Labs Sharpen AI stands out as an exceptional tool for professionals aiming to preserve original image quality while correcting blur and enhancing sharpness.

Sharpen API Overview

Topaz Labs Sharpen is an advanced AI-powered image sharpening tool designed to restore clarity and details in photos affected by various types of blur. It uses optimized deep learning models to deliver precise, high-fidelity sharpening results with maximum accuracy and efficiency, making it ideal for professional photography and creative workflows.

Technical Specifications

Architecture: Deep learning-based image enhancement trained on extensive datasets of sharp and blurry images.
Output Formats: JPEG (Default), JPG, PNG, TIFF, and TIF.
Output Quality: Maintains original image fidelity, minimizing artifacts and noise introduction.
Subject Detection: Enables selective enhancement by specifying which subjects to process.

Performance Benchmarks

Processes images faster than many competing tools when utilizing GPU acceleration.
Delivers outputs with less noise amplification compared to traditional sharpening filters.
Handles large, high-resolution images while preserving fine details.
Benchmark testing shows balanced results between speed and quality on Intel 13th Gen CPUs and recent GPUs.

Key Features

AI-Powered Sharpening Models: Intelligently chosen sharpening approach depending on blur type (motion, focus, soft images).
Artifact-Free Enhancement: Delivers sharpness without common oversharpening issues or unwanted halos.
Fast & Efficient: Processes images significantly faster with GPU acceleration compared to traditional sharpening.

Sharpen API Pricing

Pricing is based on the image size in megapixels (MP):

Up to 25 MP: $0.105
25 – 57 MP: $0.21
57 – 89 MP: $0.315
89 – 120 MP: $0.42
120 – 153 MP: $0.525
153 – 184 MP: $0.63

Use Cases

Correcting slight focus or lens blur in portraits and landscapes.
Restoring sharpness to action shots suffering from motion blur.
Enhancing vintage or soft photographs with lens softness.
Improving product photography for e-commerce by boosting detail clarity.
Stabilizing handheld photos taken in low light or shaky conditions.
Overall image enhancement for prints, publications, and digital portfolios.

Code Sample

Comparison with Other Models

vs Adobe Photoshop: Sharpen AI uses deep learning to intelligently distinguish between motion blur, focus blur, and general softness, restoring fine details naturally without halos or artifacts. Photoshop Smart Sharpen relies on manual filter adjustments and often produces more halos, making it less effective for complex blur correction.

vs Luminar Neo Supersharp: While both use AI for sharpening, Topaz Sharpen AI offers specialized modes for motion blur and focus blur correction, whereas Luminar Neo Supersharp focuses more on general sharpening with creative masking. Topaz maintains higher fidelity and introduces fewer artifacts at strong sharpening levels compared to Luminar, which can produce visible halos.

vs Focus Magic: Focus Magic employs more traditional deconvolution methods aimed primarily at correcting motion blur and out-of-focus images but requires manual input on blur direction and intensity. Topaz Sharpen AI automates this with AI-powered blur detection and selective sharpening, often delivering more natural and artifact-free results.

‍