Image Background Remover

AI & Media Processing

Operated by Sourcelane✓ verified

AI Image Background Remover is an AI-powered image processing connector that automatically removes backgrounds and produces clean cutouts with alpha transparency. It performs automatic segmentation and matting to isolate subjects and preserve fine details such as hair strands, fur, and product edges, and can output transparent PNGs as well as WebP or JPEG formats. The connector supports bulk processing of multiple images and returns one processed result per input image, enabling batch isolation of subjects for e-commerce, design, and marketing workflows.

Verified Sep 28, 3:55 AM

$0.01

per result

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

E-commerce product photos: remove cluttered backgrounds for clean product shots
Marketing & advertising: isolate subjects to place on alternative backgrounds or overlays
Lead generation for designers: bulk-process client photo libraries for downstream design work
Social media content: cut out people or objects for composited posts
Real estate & automotive: swap or clean backgrounds on property and vehicle images

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"image-background-remover","params":{"images":["https://i.imgur.com/TSem3Jf.jpeg","https://i.imgur.com/or3U2Xx.jpeg","https://i.imgur.com/4n7gmJE.jpeg"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`images`	array	optional	Images to remove backgrounds from. Each entry can be a publicly accessible URL or a base64 data URI (e.g. data:image/jpeg;base64,/9j/...).
`imageFiles`	array	optional	Upload image files directly. Combined with any URLs provided above.
`outputFormat`	string	optional	Image format for the output file. PNG preserves transparency (recommended). JPEG and WebP will have a white background.

Each result contains

Field	Type	Description
`inputImageUrl`	string	Input Image Url
`outputImageUrl`	null	Output Image Url
`outputImageKey`	null	Output Image Key
`status`	string	Status
`error`	string	—

Use Image Background Remover from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Transcribe this video and give me timestamps for every product mention: <url>”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"image-background-remover","params":{"images":["https://i.imgur.com/TSem3Jf.jpeg","https://i.imgur.com/or3U2Xx.jpeg","https://i.imgur.com/4n7gmJE.jpeg"]},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "image-background-remover",
        "params": {"images":["https://i.imgur.com/TSem3Jf.jpeg","https://i.imgur.com/or3U2Xx.jpeg","https://i.imgur.com/4n7gmJE.jpeg"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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