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Ideogram Remove Background is a fast AI background remover that removes image backgrounds and returns a clean transparent foreground image. Ready-to-use REST inference API for product photos, portraits, design assets, e-commerce images, and creative workflows with high-quality cutouts, simple integration, no coldstarts, and affordable pricing.

ai-remover
Input

Idle

$0.01per run·~100 / $1

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README

Ideogram Remove Background

Ideogram Remove Background removes the background from an input image and returns a transparent cutout, making it easy to isolate products, people, and objects for clean downstream use in design, e-commerce, and marketing workflows.

Why Choose This?

  • Fast background removal Remove image backgrounds in a single step with a simple upload workflow.

  • Transparent output Generate clean cutouts that are ready for compositing, product listings, and creative editing.

  • Simple one-image input Upload a single image and get a processed result without extra prompt engineering or manual masking.

  • Useful for production workflows Ideal for product photos, design assets, social content, and catalog preparation.

  • Production-ready API Easy to integrate into automated editing, creative tooling, and asset-preparation pipelines.

Parameters

ParameterRequiredDescription
imageYesInput image to process for background removal.

How to Use

  1. Upload your image — provide the image you want to process.
  2. Submit — run the model to remove the background.
  3. Download the result — use the transparent output in your workflow.

Example Use Case

Remove the background from a perfume bottle photo to create a clean transparent product cutout for e-commerce and ad creatives.

Pricing

Just $0.01 per image.

Best Use Cases

  • E-commerce product images — Create clean transparent cutouts for product listings and catalogs.
  • Marketing creatives — Isolate products or subjects for ads, banners, and promotional designs.
  • Design workflows — Prepare assets for compositing, layout, and visual editing.
  • Social media content — Quickly create clean foreground cutouts for posts and branded content.
  • Catalog and asset cleanup — Standardize image assets for internal or public-facing use.

Pro Tips

  • Use clear images with well-defined subjects for cleaner background removal.
  • Product photos with good contrast between subject and background usually work best.
  • Transparent outputs are especially useful for layered design workflows and marketplace listings.
  • Start with the highest-quality source image available for more precise edge handling.

Notes

  • image is the only required field.
  • Pricing is fixed at $0.01 per image.
  • The output is intended for transparent-background use cases.
Note:This website uses AI models provided by third parties.

Remove Background API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/ideogram-ai/remove-background with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Remove Background below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/ideogram-ai/remove-background" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/ideogram-ai/remove-background";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/ideogram-ai/remove-background", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Remove Background API — Frequently asked questions

What is the Remove Background API?

Remove Background is a Ideogram model for object / watermark removal, exposed as a REST API on WaveSpeedAI. Ideogram Remove Background is a fast AI background remover that removes image backgrounds and returns a clean transparent foreground image. Ready-to-use REST inference API for product photos, portraits, design assets, e-commerce images, and creative workflows with high-quality cutouts, simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Remove Background API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/ideogram-ai/ideogram-ai-remove-background.

How much does Remove Background cost per run?

Remove Background starts at $0.010 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Remove Background accept?

Key inputs: `image`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/ideogram-ai/ideogram-ai-remove-background.

How long does Remove Background take to generate?

Median end-to-end generation time on WaveSpeedAI is around 11 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Remove Background outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Ideogram). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Ideogram AI Remove Background | AI Background & Object Remover API on WaveSpeedAI