Automate Background Removal Like a Pro with PixelAPI

Remove backgrounds from images in seconds — no Photoshop skills required

The Problem: Background Removal Without the Hassle

Ever needed to remove a background from an image for e-commerce, social media, or design projects — but didn't want to manually edit each one in Photoshop or Figma?

• Manual tools (like Photoshop) are slow for bulk processing
• Open-source models (e.g., U²-Net) require processing setups and complex code
• Paid services (like Remove.bg) work but can get expensive at scale

That's where PixelAPI comes in — a fast, affordable API that lets you remove backgrounds (or generate custom ones) in seconds.

1. Setup: Get PixelAPI Working

Option A: Python (Recommended for Automation)

pip install requests

Save your API key from PixelAPI's dashboard as an environment variable:

export PIXELAPI_KEY="your_api_key_here"  # Linux/Mac

Option B: curl (Quick CLI Testing)

This example used a discontinued tool and has been removed. Use the supported endpoint examples on this page or browse the current tool catalogue.

2. Basic Background Removal

Python Example

import requests
import os

API_KEY = os.getenv("PIXELAPI_KEY")
IMAGE_URL = "https://example.com/your-image.jpg"

response = requests.post(
    "https://api.pixelapi.dev/v1/image/remove-bg",
    headers={"X-API-KEY": API_KEY},
    json={"image_url": IMAGE_URL}
)

if response.status_code == 200:
    with open("output.png", "wb") as f:
        f.write(response.content)
    print("✅ Background removed! Saved as 'output.png'")
else:
    print(f"❌ Error: {response.text}")

curl Example

curl -X POST https://api.pixelapi.dev/v1/image/remove-bg \
  -H "X-API-KEY: your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"image_url": "https://example.com/your-image.jpg"}' \
  --output output.png

Standalone background image generation — Discontinued

Standalone background image generation has been discontinued. Use the current background replacement documentation for photo editing.

4. Batch Processing (Multiple Images)

image_urls = [
    "https://example.com/product1.jpg",
    "https://example.com/product2.jpg",
]

for i, url in enumerate(image_urls, 1):
    response = requests.post(
        "https://api.pixelapi.dev/v1/image/remove-bg",
        headers={"X-API-KEY": API_KEY},
        json={"image_url": url}
    )

    if response.status_code == 200:
        with open(f"output_{i}.png", "wb") as f:
            f.write(response.content)
        print(f"✅ Processed {url}")
    else:
        print(f"❌ Failed {url}: {response.text}")

5. Error Handling & Best Practices

try:
    response = requests.post(
        "https://api.pixelapi.dev/v1/image/remove-bg",
        headers={"X-API-KEY": API_KEY},
        json={"image_url": "invalid-url"},
        timeout=10
    )
    response.raise_for_status()
    print("Success!")
except requests.exceptions.HTTPError as err:
    print(f"HTTP Error: {err}")
except requests.exceptions.RequestException as err:
    print(f"Request Failed: {err}")

6. Complete Automation Script

import requests
import os
import time
from dotenv import load_dotenv

load_dotenv()
API_KEY = os.getenv("PIXELAPI_KEY")
INPUT_DIR = "input_images/"
OUTPUT_DIR = "output_images/"

def process_image(image_url, output_filename, prompt=None):
    """Remove BG or generate custom background."""
    endpoint = "remove-bg" if not prompt else "generate"
    payload = {"image_url": image_url}
    if prompt:
        payload.update({"model": "AI image generation", "prompt": prompt})

    try:
        response = requests.post(
            f"https://api.pixelapi.dev/v1/image/{endpoint}",
            headers={"X-API-KEY": API_KEY},
            json=payload,
            timeout=15
        )
        response.raise_for_status()

        with open(f"{OUTPUT_DIR}{output_filename}", "wb") as f:
            f.write(response.content)
        print(f"✅ {output_filename} processed!")
        return True
    except Exception as e:
        print(f"❌ Failed {output_filename}: {e}")
        return False

if __name__ == "__main__":
    for filename in os.listdir(INPUT_DIR):
        if filename.lower().endswith(('.png', '.jpg', '.jpeg')):
            image_url = f"file://{os.path.join(INPUT_DIR, filename)}"
            process_image(image_url, filename.replace(".jpg", "_bg_removed.png"))
            process_image(
                image_url,
                filename.replace(".jpg", "_white_bg.png"),
                prompt="clean white background, no shadows"
            )
            time.sleep(0.5)

7. Benchmarks & Cost Comparison

Next Steps

• Try the free tier: PixelAPI Signup
• Automate further: Integrate with Shopify, WooCommerce, or Airtable
• Experiment with prompts: "cyberpunk background, neon lights, 8k"
• Read the docs: Full API Documentation