Body Shaper

Overview

Body Shaper is an AI-powered tool that lets you modify and enhance body shapes in photos. Whether you want to appear slimmer, more muscular, or adjust specific body features, this tool makes it easy to transform your appearance while maintaining a natural look. Simply upload your photo, choose your desired body type, and let our advanced AI do the work for you. Perfect for:

• Creating fitness transformation previews
• Visualizing different body shapes
• Enhancing professional photos
• Exploring different looks before starting a fitness journey

API Reference

• URL: https://api.maxstudio.ai/body-shaper
• Method: POST

API Parameters

⚠️ Important: When sending the base64 image, do not include the prefix (e.g., 'data:image/jpeg;base64,'). Send only the raw base64 string.

Header

Code Examples

// TypeScript implementation
interface Params {
  image: string;
  bodyType: string;
}
async function BodyShaper(image: string, bodyType: string): Promise<any> {
  try {
    const response = await fetch('https://api.maxstudio.ai/body-shaper', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        image: image,
        bodyType: bodyType
      })
    });
    const jobId = await response.json();
    return jobId;
  } catch (error) {
    console.error('Error:', error);
    throw error;
  }
}

Success Response

{
  "jobId": "<job_id>"
}

Error Response Examples

// Rate Limit Error
{
  "status": 429,
  "error": "Rate limit exceeded. Please try again later."
}

// Insufficient Credits
{
  "status": 402,
  "error": "Insufficient credits. Please Buy credits."
}

// Invalid Input
{
  "status": 400,
  "error": "Image size must be less than 5MB"
}

Get Job Status

Header

To check the status of your job, use the following examples:

// TypeScript implementation
async function getJobStatus(jobId: string): Promise<any> {
  const url = `https://api.maxstudio.ai/body-shaper/${jobId}`;
  try {
    const response = await axios.get(url);
    const jobId = await response.data;
    return jobId;
  } catch (error) {
    console.error('Error:', error);
    throw error;
  }
}

Job Status Reference

Output

{
  "status": "<status>",  // One of the status values from the table above
  "result": "<result>"   // Base64 encoded image data when status is 'completed'
}