AI LLM Photo Retouch

Use a vision LLM to recognize the image and automatically retouch it

AI-driven image optimization pipeline with Sharp.

Pipeline:

  • Convert uploaded image to JPEG (quality=100)
  • Use visual LLM to classify style and output JSON-only Sharp config
  • Build Sharp pipeline from JSON and generate optimized JPEG output

Notes:

  • The model response is forced to JSON-only format
  • Returned metadata includes the style plan JSON for reproducibility

Click to upload file or drag and drop file here

Maximum file size: 80MB Supported formats: image/jpeg, image/png, image/webp, image/avif

Key Facts

Category
AI & Generators
Input Types
file, text
Output Type
file
Sample Coverage
4
API Ready
Yes

Overview

AI LLM Photo Retouch uses advanced vision models to analyze your images and apply professional-grade adjustments automatically. By combining intelligent scene recognition with the Sharp image processing library, this tool delivers high-quality, optimized JPEG outputs tailored to your specific aesthetic goals.

When to Use

  • •When you need to enhance portrait clarity or adjust lighting without manual editing software.
  • •When you want to standardize a batch of images for consistent style and quality.
  • •When you need to quickly optimize image parameters based on natural language instructions.

How It Works

  • •Upload your image file in JPEG, PNG, WebP, or AVIF format.
  • •Provide an optional optimization goal, such as increasing sharpness or adjusting color balance.
  • •The vision LLM analyzes the content and generates a precise JSON configuration for the Sharp processing engine.
  • •The tool applies the configuration to produce a high-quality, optimized JPEG file.

Use Cases

Automated portrait enhancement for social media profiles.
Standardizing product photography lighting and clarity for e-commerce.
Quickly applying stylistic adjustments to raw images using natural language prompts.

Examples

1. Portrait Clarity Enhancement

Content Creator
Background
A creator has several raw portrait photos that look slightly soft and need better definition.
Problem
Manual retouching is time-consuming and requires professional software skills.
How to Use
Upload the portrait and enter 'Increase portrait clarity and keep skin texture natural' in the optimization goal field.
Outcome
The tool returns a sharpened, high-quality JPEG with improved facial definition while maintaining a natural skin appearance.

2. Product Image Optimization

Background
An online store owner needs to ensure all product images have consistent brightness and sharpness.
Problem
Images vary in quality and lighting conditions, making the store look unprofessional.
How to Use
Upload the product image and specify 'Optimize for e-commerce: increase brightness and enhance edge sharpness'.
Outcome
The tool outputs a bright, crisp JPEG image ready for immediate use on the product page.

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
preferred input family image
image
Web Image Processing Go Samples
Web Go image processing examples including image reading/saving, image resizing, and format conversion
preferred input family image
image
Windows Image Processing C++ Samples
Windows C++ image processing examples including reading/saving images, resizing, and format conversion using Windows Imaging Component (WIC)
preferred input family image
image
Web Image Processing Rust Samples
Web Rust image processing examples including image read/save, scaling, and format conversion
preferred input family image
image

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FAQ

What file formats are supported for upload?

You can upload images in JPEG, PNG, WebP, and AVIF formats.

How does the AI determine the retouching parameters?

A vision LLM analyzes the visual content of your image and your specific goals to generate a structured JSON configuration for the Sharp library.

Can I see the technical settings used for the retouching?

Yes, the tool returns the metadata containing the exact Sharp parameter JSON used for the image processing.

What is the output format of the processed image?

The tool outputs an optimized JPEG file with a quality setting of 100.

Do I need to know how to use Sharp to use this tool?

No, the AI handles the technical configuration automatically based on your input.

API Documentation

Request Endpoint

POST /en/api/tools/ai-image-style-sharp-optimizer

Request Parameters

Parameter Name Type Required Description
imageFile file (Upload required) Yes -
userGoal text No -

File type parameters need to be uploaded first via POST /upload/ai-image-style-sharp-optimizer 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-ai-image-style-sharp-optimizer": {
      "name": "ai-image-style-sharp-optimizer",
      "description": "Use a vision LLM to recognize the image and automatically retouch it",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=ai-image-style-sharp-optimizer",
      "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]