Object Remover

Overview

Object Remover is a powerful AI tool that helps you remove unwanted objects from your images. Here's how it works:

• Upload your image that contains the object you want to remove
• Use the brush tool to paint over the object you want to remove
• Our AI will automatically remove the selected object and fill the area naturally

Perfect for:

• Removing photobombers from your pictures
• Cleaning up unwanted objects from scenic photos
• Removing distracting elements from professional shots
• Creating cleaner, more focused images

The AI ensures the removed object is replaced with content that matches the surrounding area, making the edit look natural and seamless.

API Reference

• URL: https://api.maxstudio.ai/object-remover
• 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.

Sample Images

Original Image:

Mask Image:

Creating Masks

The mask should follow these criteria:

• Objects to be removed should be marked in black (RGB: 0,0,0)
• Background should be white (RGB: 255,255,255)
• The mask should have the same dimensions as the input image
• Use solid black color for the entire object you want to remove

Recommended Libraries for Mask Creation

JavaScript/TypeScript

• 1. p5.js Library

  A JavaScript library for creative coding with easy-to-use drawing functions. Perfect for creating interactive drawing interfaces with simple setup.

• 2. Fabric.js

  A powerful JavaScript canvas library with interactive object model. Provides comprehensive tools for image manipulation and drawing capabilities.

• 3. React Konva

  A JavaScript library to draw complex canvas graphics using React. Ideal for React applications requiring drawing functionality with state management.

Python

• 1. OpenCV for Masking

  A comprehensive computer vision library with powerful image processing capabilities. Provides tools for image manipulation, drawing, and mask creation.

• 2. Mask R-CNN

  A deep learning framework for object instance segmentation. Automatically detects and segments objects in images, creating precise masks.

Header

Code Examples

// TypeScript implementation
interface Params {
  image: string;
  mask: string;
}
async function ObjectRemover(params: Params): Promise<any> {
  try {
    const response = await fetch('https://api.maxstudio.ai/object-remover', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        image: params.image,
        mask: params.mask
      })
    });
    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/object-remover/${jobId}`;
  try {
    const response = await axios.get(url);
    const jobId = 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'
}