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Image Shear

Apply shear transformation to create slanted or skewed images. Visualize shear matrices and see how they distort the image geometry.

Click to upload file or drag and drop file here

Maximum file size: 10MB Supported formats: image/jpeg, image/png, image/webp, image/gif, image/bmp, image/tiff

Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) for shear transformation

-2 0 2

Horizontal shear factor (-2.0 to 2.0, 0 = no shear, positive = rightward tilt)

-2 0 2

Vertical shear factor (-2.0 to 2.0, 0 = no shear, positive = downward tilt)

Background color for transparent areas (hex #RRGGBB or #RRGGBBAA, or color name)

Choose output format or keep original. PNG recommended for transparency

Output quality for lossy formats (JPEG, WebP). Higher = better quality but larger file size

Key Facts

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

Overview

Image Shear is an online media tool for apply shear transformation to create slanted or skewed images. visualize shear matrices and see how they distort the image geometry. It is especially useful when working with image, png content.

When to Use

  • •Use it when you need to convert image, png content quickly in the browser.
  • •Helpful for media workflows that need repeatable inputs and fast results.
  • •A good fit when you want to test with real files before running the same workflow in code or API calls.

How It Works

  • •Provide Image File, Shear X (Horizontal), Shear Y (Vertical), Background Color as input to the tool.
  • •The tool processes the request and returns a file result.
  • •For file workflows, start with representative samples such as image, png test files to verify edge cases and output quality.

Use Cases

Convert image, png data during debugging or QA.
Validate expected output before using the API or automation flows.
Test the workflow with representative sample files and edge cases.

Try with Samples

image, png, jpg
Web Image Processing Python Samples
Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion
title token image
image, jpg
Windows Image Processing C++ Samples
Windows C++ image processing examples including reading/saving images, resizing, and format conversion using Windows Imaging Component (WIC)
title token image
image, jpg
Web Image Processing Rust Samples
Web Rust image processing examples including image read/save, scaling, and format conversion
title token image
image, jpg
macOS Image Processing Objective-C Samples
macOS Objective-C image processing examples including image reading/saving, image scaling, and format conversion
title token image
image, jpg

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FAQ

What does Image Shear do?

Image Shear helps you convert image, png content online without setting up a separate local script or app.

When should I use this tool?

Use it when you need a quick convert workflow, want to verify output, or need a browser-based utility for media tasks.

Can I try this tool with sample data?

Yes. This page can recommend related sample files so you can test the workflow immediately.

What inputs does Image Shear accept?

Image Shear accepts Image File, Shear X (Horizontal), Shear Y (Vertical), Background Color and supports file uploads for 1 field.

Is there an API for Image Shear?

Yes. The tool page includes an API endpoint so you can move from manual testing to scripted usage.

API Documentation

Request Endpoint

POST /en/api/tools/image-shear

Request Parameters

Parameter Name Type Required Description
imageFile file (Upload required) Yes Upload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) for shear transformation
shearX range Yes Horizontal shear factor (-2.0 to 2.0, 0 = no shear, positive = rightward tilt)
shearY range Yes Vertical shear factor (-2.0 to 2.0, 0 = no shear, positive = downward tilt)
background text No Background color for transparent areas (hex #RRGGBB or #RRGGBBAA, or color name)
format select No Choose output format or keep original. PNG recommended for transparency
quality number No Output quality for lossy formats (JPEG, WebP). Higher = better quality but larger file size

File type parameters need to be uploaded first via POST /upload/image-shear 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-image-shear": {
      "name": "image-shear",
      "description": "Apply shear transformation to create slanted or skewed images. Visualize shear matrices and see how they distort the image geometry.",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=image-shear",
      "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]