Image Sharpen | Fast Image Editing API

Topaz Image Sharpen

Topaz Image Sharpen is a professional-grade image sharpening model powered by Topaz Labs' industry-leading AI technology. Upload your image and select from multiple specialized sharpening models — each optimized for different scenarios like portraits, wildlife, motion blur recovery, and more.

Why Choose This?

Multiple sharpening models 9 specialized models optimized for different use cases — from general sharpening to specific scenarios like portraits, wildlife, and motion blur.
Professional quality Powered by Topaz Labs' AI, trusted by professional photographers and content creators worldwide.
Blur recovery Specialized models for lens blur and motion blur can recover detail from out-of-focus or motion-blurred images.
Multiple output formats Export as JPEG, PNG, or TIFF based on your workflow needs.

Parameters

Parameter	Required	Description
image	Yes	Source image to sharpen (upload or URL)
model	No	Sharpening model to use (default: Standard)
output_format	No	Output format: jpeg, jpg, png, tiff, or tif

Model Options

Model	Best For
Standard	General-purpose sharpening (default)
Strong	More aggressive sharpening for soft images
Lens Blur	Recovering detail from out-of-focus images
Lens Blur V2	Improved lens blur recovery with better edge handling
Motion Blur	Recovering detail from motion-blurred images
Natural	Subtle, natural-looking sharpening
Refocus	Bringing soft areas back into focus
Wildlife	Optimized for animal fur, feathers, and textures
Portrait	Optimized for skin, hair, and facial features

Output Format Options

jpeg / jpg — Compressed format, smaller file size
png — Lossless format, supports transparency
tiff / tif — Professional format, highest quality preservation

How to Use

Upload your image — drag and drop or paste a URL.
Select model — choose the sharpening model that matches your image type.
Choose output format — select based on your quality and file size needs.
Run — submit and download the sharpened image.

Pricing

Item	Cost
Per image	$0.15

Simple flat-rate pricing regardless of image size or model selected.

Best Use Cases

Photo Enhancement — Sharpen photos for print or digital display.
Blur Recovery — Recover detail from slightly out-of-focus shots.
Wildlife Photography — Enhance fur, feathers, and fine textures.
Portrait Retouching — Sharpen facial features while maintaining natural skin.
Motion Blur Correction — Improve images affected by camera shake or subject movement.

Pro Tips

Start with Standard model for general use, switch to specialized models for specific content.
Use Portrait mode for headshots to avoid over-sharpening skin texture.
Use Wildlife mode for animals to enhance fur and feather details.
Lens Blur V2 often produces better results than the original Lens Blur.
Use PNG or TIFF for maximum quality preservation in professional workflows.

Notes

Different models are optimized for different content types — experiment to find the best match.
For best results, use high-resolution source images.
Over-sharpening can introduce artifacts — start with Standard or Natural for subtle enhancement.

Related Models

Topaz Image Denoise — AI-powered noise reduction.
Topaz Image Sharpen — AI-powered image sharpening.
Topaz Image Lighting — AI-powered lighting adjustment.

Image Sharpen API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/topaz/image/sharpen with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Image Sharpen below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/topaz/image/sharpen" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "model": "Standard",
    "output_format": "jpeg",
    "enable_base64_output": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("topaz/image/sharpen", {
        "image": "https://example.com/your-input.jpg",
        "model": "Standard",
        "output_format": "jpeg",
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "topaz/image/sharpen",
    {
    "image": "https://example.com/your-input.jpg",
    "model": "Standard",
    "output_format": "jpeg",
    "enable_base64_output": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Image Sharpen API — Frequently asked questions

What is the Image Sharpen API?

Image Sharpen is a Topaz model for image editing, exposed as a REST API on WaveSpeedAI. Topaz Image Sharpen brings clarity and crisp definition to soft or out-of-focus images. Perfect for fixing lens blur, motion blur, and general softness. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Image Sharpen API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/topaz/topaz-image-sharpen.

How much does Image Sharpen cost per run?

Image Sharpen starts at $0.15 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Image Sharpen accept?

Key inputs: `image`, `enable_base64_output`, `model`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/topaz/topaz-image-sharpen.

How long does Image Sharpen take to generate?

Average end-to-end generation time on WaveSpeedAI is around 16 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Image Sharpen outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Topaz). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

ExamplesView all

Related Models

README

Topaz Image Sharpen

Why Choose This?

Parameters

Model Options

Output Format Options

How to Use

Pricing

Best Use Cases

Pro Tips

Notes

Related Models

Image Sharpen API — Quick start

Image Sharpen API — Frequently asked questions