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Convert WebP to Lossy WebP

Convert WebP images to lossy WebP format with controlled quality reduction

Click to upload file or drag and drop file here

Maximum file size: 50MB Supported formats: image/webp

0 80 100
0 80 100

Set quality for alpha/transparency channel when present

Use smart subsampling for potentially better quality with chroma channels

Key Facts

Category
Media
Input Types
file, range, number, checkbox
Output Type
file
Sample Coverage
4
API Ready
Yes

Overview

Optimize your WebP images by converting them to lossy WebP format, allowing you to significantly reduce file sizes while maintaining visual quality through precise control over compression settings.

When to Use

  • •When you need to reduce the file size of high-resolution WebP images for faster web page loading.
  • •When you want to optimize images for mobile devices without sacrificing significant visual fidelity.
  • •When you need to fine-tune compression parameters like effort and method to balance image quality and processing speed.

How It Works

  • •Upload your source WebP image file to the tool.
  • •Adjust the quality, compression effort, and method sliders to define your target balance between file size and visual output.
  • •Enable optional features like smart subsampling or alpha channel quality adjustments if your image contains transparency.
  • •Process the file and download your optimized lossy WebP image.

Use Cases

Optimizing hero images and banners for e-commerce websites to improve Core Web Vitals.
Compressing large batches of user-uploaded profile pictures to save server storage and bandwidth.
Preparing image assets for high-traffic blogs where page load speed is critical for SEO.

Examples

1. Optimizing Website Hero Images

Web Developer
Background
A high-resolution hero image in WebP format is causing slow page load times on a landing page.
Problem
The file size is too large for optimal performance, but the visual quality must remain high.
How to Use
Upload the image, set the quality to 75, and increase the compression effort to 6 for maximum efficiency.
Example Config
quality: 75, effort: 6, method: 4
Outcome
The image file size is reduced by 40% with no noticeable loss in visual quality, improving page load speed.

2. Compressing Transparent UI Icons

UI Designer
Background
A set of complex WebP icons with transparency is consuming too much bandwidth.
Problem
Standard compression often ruins the edges of transparent icons.
How to Use
Upload the icon, set the quality to 85, and set the Alpha Quality to 90 to preserve the transparency edges.
Example Config
quality: 85, alphaQuality: 90, smartSubsample: true
Outcome
The icons are significantly smaller while maintaining sharp edges and clean transparency.

Try with Samples

image, file
WebP Samples
Sample WebP images in different aspect ratios and resolutions
title token webp
image
TIFF Samples
Sample TIFF images in different aspect ratios and themes with high-quality uncompressed format
preferred input family image
image
Web Image Processing Python Samples
Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion
preferred input family image
image
AVIF Samples
Sample AVIF images in different aspect ratios and themes with modern compression
preferred input family image
image

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FAQ

What is the difference between lossless and lossy WebP?

Lossless WebP preserves every pixel of the original image, while lossy WebP uses predictive coding to reduce file size by discarding imperceptible data.

How does the quality slider affect the file?

Lowering the quality value (0-100) increases compression, resulting in smaller file sizes but potentially introducing visual artifacts.

What do the compression effort and method settings do?

Higher values for effort and method increase the time spent searching for the best compression strategy, resulting in smaller files at the cost of longer processing time.

Can I convert images with transparency?

Yes, you can use the Alpha Quality setting to control the compression level of the transparency channel independently.

What is Smart Subsampling?

Smart Subsampling optimizes the chroma channels of the image, which can improve visual quality in specific areas when using lossy compression.

API Documentation

Request Endpoint

POST /en/api/tools/webp-to-webp-lossy

Request Parameters

Parameter Name Type Required Description
imageFile file (Upload required) Yes -
quality range No -
effort number No -
method number No -
alphaQuality range No Set quality for alpha/transparency channel when present
smartSubsample checkbox No Use smart subsampling for potentially better quality with chroma channels

File type parameters need to be uploaded first via POST /upload/webp-to-webp-lossy to get filePath, then pass filePath to the corresponding file field.

Response Format

{
  "filePath": "/public/processing/randomid.ext",
  "fileName": "output.ext",
  "contentType": "application/octet-stream",
  "size": 1024,
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
File: File

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-webp-to-webp-lossy": {
      "name": "webp-to-webp-lossy",
      "description": "Convert WebP images to lossy WebP format with controlled quality reduction",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=webp-to-webp-lossy",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

Supports URL file links or Base64 encoding for file parameters.

If you encounter any issues, please contact us at [email protected]