# AI Background Remover - HD & Transparent (`akash9078/ai-bg-remover`) Actor

The most powerful AI background remover to remove backgrounds from images automatically in seconds. Get high-quality transparent PNGs with professional precision. Perfect for e-commerce, social media, and graphic design.

- **URL**: https://apify.com/akash9078/ai-bg-remover.md
- **Developed by:** [Akash Kumar Naik](https://apify.com/akash9078) (community)
- **Categories:** Automation, Developer tools, E-commerce
- **Stats:** 8 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $25.00 / 1,000 image processeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 🎨 AI Background Remover - Remove Image Background Instantly (HD & Transparent)

The most powerful **AI Background Remover** to remove backgrounds from any image with professional precision. Using advanced AI models, this actor provides the easiest way to get high-quality **transparent backgrounds** (Remove BG) instantly for HD results.

***

### 🚀 Why choose this AI Background Remover?

- **🎯 High Precision**: Advanced AI detects objects, people, and complex edges with surgical accuracy.
- **✨ Professional HD Quality**: Built-in **Alpha Matting** ensures smooth edges and handles fine hair detail perfectly.
- **⚡ Fast & Automated**: No manual masking required. Just provide an image URL and get a clean cutout in seconds.
- **🖼️ High-Quality Transparent Output**: Ideal for e-commerce, social media, and professional graphic design.

***

### 🛠️ How it works

Simply provide the URL of the image you want to process (supports standard URLs and **Google Drive** links). The AI automatically analyzes the image, separates the subject from the background, and returns a high-resolution transparent PNG.

***

### 📥 Input Example

| Field | Type | Description |
|-------|------|-------------|
| `imageUrl` | String | **Required**. The URL of the image to process. Supports standard links and Google Drive. |

```json
{
    "imageUrl": "https://raw.githubusercontent.com/akash9078/backgroundremover/main/docs/sample.jpg"
}
```

***

### 📤 Output Example

The processed image is stored in the Actor's **Key-Value Store**, and metadata is recorded in the **Dataset**.

```json
{
  "originalUrl": "https://raw.githubusercontent.com/akash9078/backgroundremover/main/docs/sample.jpg",
  "processedImageUrl": "https://api.apify.com/v2/key-value-stores/.../records/processed_image.png",
  "status": "SUCCESS"
}
```

***

### 💡 Use Cases

- **E-commerce**: Create professional product listings for Amazon, eBay, Shopify, or Etsy by removing backgrounds in bulk.
- **Graphic Design & Branding**: Generate transparent PNGs for logos, web design, and marketing materials.
- **Content Creation**: Effortlessly remove backgrounds from portraits and selfies for social media thumbnails and profile pictures.

***

### 🔒 Security & Privacy

Your images are processed in a secure environment and are only accessible through your Apify account. Data is handled according to best security practices.

# Actor input Schema

## `imageUrl` (type: `string`):

URL of the image to remove background from

## `quality` (type: `string`):

Quality preset: fast (faster), balanced (default), best (highest quality, slower)

## Actor input object example

```json
{
  "imageUrl": "https://drive.google.com/file/d/1FtUFKEJslxY3i86HhG8QZeXfjx9MH4_d/view?usp=drive_link",
  "quality": "balanced"
}
```

# Actor output Schema

## `results` (type: `string`):

All processed images in dataset

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "imageUrl": "https://drive.google.com/file/d/1FtUFKEJslxY3i86HhG8QZeXfjx9MH4_d/view?usp=drive_link"
};

// Run the Actor and wait for it to finish
const run = await client.actor("akash9078/ai-bg-remover").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "imageUrl": "https://drive.google.com/file/d/1FtUFKEJslxY3i86HhG8QZeXfjx9MH4_d/view?usp=drive_link" }

# Run the Actor and wait for it to finish
run = client.actor("akash9078/ai-bg-remover").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "imageUrl": "https://drive.google.com/file/d/1FtUFKEJslxY3i86HhG8QZeXfjx9MH4_d/view?usp=drive_link"
}' |
apify call akash9078/ai-bg-remover --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=akash9078/ai-bg-remover",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/G6IUtYoYC9uI98Qph/builds/inCgSHVvG8HLnyHjt/openapi.json