# Adobe Express Background Remover API (`dev00/adobe-express-background-remover-api`) Actor

High-precision AI background removal powered by Adobe Express Sensei engine with Base64 Data URL and raw binary image cutout output.

- **URL**: https://apify.com/dev00/adobe-express-background-remover-api.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** AI, Agents, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 adobe background removals

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

## Adobe Express Background Remover - Apify Actor

High-precision AI background removal powered by Adobe Express Sensei engine with Base64 Data URL and raw binary image cutout output.

***

### 🚀 Key Features

- **Adobe Sensei AI Cutout Engine**: Ultra-accurate subject segmentation for portraits, products, animals, cars, and complex edge details.
- **Multiple Output Formats**: Generates clean Base64 Data URLs for web display and saves raw JPEG cutout images to the Key-Value Store (`CUTOUT_IMAGE.jpg`).
- **Automated Guest Authentication**: 100% dynamic token generation with zero API key configuration needed.
- **High Speed & Enterprise Reliability**: Powered by smart HTTP engines for zero IP blocking and fast turnaround (<1.5s per image).

***

### 🎯 What People Use It For

- **E-Commerce Product Listings**: Erase messy product backgrounds for Shopify, Amazon, eBay, and WooCommerce product catalogues.
- **Graphic Design & Photo Editing Apps**: Build automated background eraser tools, photo editors, and avatar generators.
- **Marketing & Social Media Creators**: Isolate subjects for banners, YouTube thumbnails, and advertisement collages.
- **SaaS & Image Processing Pipelines**: Batch process product and portrait photos at enterprise scale.

***

### 📌 Decision Rule & Usage Recommendation

Check if `success === true`. Inspect `mask_data_url` or `mask_base64` to display the subject cutout, or download `CUTOUT_IMAGE.jpg` from the Key-Value Store.

***

### 💡 What Problem Does This Solve?

- *"Manual background erasing in Photoshop is slow and labor-intensive."*
- *"Commercial background removal APIs charge high per-image subscription fees ($0.20 - $0.50/img)."*
- *"Low-quality open-source models leave jagged edges and blurry hair cutouts."*

Adobe Express Background Remover delivers automated, studio-quality image background removal in a single API or Actor run.

***

### 🔍 Queries This Actor Answers

- *How do I remove image background programmatically in Python, Node.js, or Apify Actors?*
- *How do I erase product photo backgrounds automatically for e-commerce stores?*
- *What is an accurate API alternative to remove.bg and Clipping Magic with JSON output?*
- *How do I get clean Base64 image cutouts using Adobe Sensei AI?*

***

### 📥 Input JSON Schema

Pass the target image URL in the `image_url` parameter:

```json
{
  "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/15/Cat_August_2010-4.jpg/500px-Cat_August_2010-4.jpg",
  "format": "json"
}
```

***

### 📤 Dataset Output Format

Each run outputs a clean structured item to the default dataset and key-value store (`OUTPUT`):

```json
{
  "success": true,
  "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/15/Cat_August_2010-4.jpg/500px-Cat_August_2010-4.jpg",
  "mask_base64": "/9j/4AAQSkZJRgABAQEASABIAAD/2wBD...",
  "mask_data_url": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEASABIAAD/2wBD...",
  "content_type": "image/jpeg",
  "bytes": 9901
}
```

***

### ⚠️ Failure Context & Error Handling

If an empty image URL string or invalid parameter is provided:

```json
{
  "success": false,
  "error": "Missing required parameter: 'image_url' string cannot be empty."
}
```

***

### 🏷️ Keywords

`adobe background remover`, `adobe express bg remover`, `remove bg api`, `image cutout api`, `background removal api`, `adobe sensei cutout`, `transparent background api`, `erase background api`, `apify actor`.

# Actor input Schema

## `image_url` (type: `string`):

Public HTTP/HTTPS URL of the target image to remove background from.

## `format` (type: `string`):

Output format ('json' for Base64 Data URL or 'binary' for raw image byte output).

## Actor input object example

```json
{
  "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/15/Cat_August_2010-4.jpg/500px-Cat_August_2010-4.jpg",
  "format": "json"
}
```

# Actor output Schema

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

No description

## `keyValueStoreResult` (type: `string`):

No description

# 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 = {
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/15/Cat_August_2010-4.jpg/500px-Cat_August_2010-4.jpg"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/adobe-express-background-remover-api").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 = { "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/15/Cat_August_2010-4.jpg/500px-Cat_August_2010-4.jpg" }

# Run the Actor and wait for it to finish
run = client.actor("dev00/adobe-express-background-remover-api").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/15/Cat_August_2010-4.jpg/500px-Cat_August_2010-4.jpg"
}' |
apify call dev00/adobe-express-background-remover-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/adobe-express-background-remover-api"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/MNktbLT3WAaGCjSVd/builds/MK4WcqgfU27Oj12Kf/openapi.json