Best AI Object Remover API

A production REST API that removes any object — watermark, logo, person, cable, text overlay, or unwanted element — from an image and fills the gap with seamlessly inpainted background. One HTTP call, one text prompt. $0.0125 per image. 5,000 free credits (7-day trial), no credit card.

What the best AI object remover API can do

Describe the unwanted element in plain English and POST your image. The API segments the target, removes it, and fills the remaining area with AI-generated content that blends naturally with the surrounding background. No manual masking, no Photoshop, no per-seat licensing.

• Watermarks & logos — strip copyright stamps, agency logos, and overlay badges from stock and licensed images, product shots, and social content.
• People & silhouettes — remove passersby from real estate listing photos, street scenes, and event shots without retouching each frame manually.
• Text & captions — erase burned-in subtitles, price tags, promotional overlays, and foreign-language text before localising images.
• Objects & clutter — remove power lines from sky shots, trash cans from storefront photos, vehicles from real estate exteriors, and props from product flat lays.
• Mask mode — when you already have bounding-box or segmentation data, upload a black-and-white PNG mask for pixel-precise removal without a text description.

Quick start — best AI object remover API in one call

Sign up, copy your key from the dashboard, and POST your image with a description of what to remove. The endpoint returns a generation id; poll until status=completed, then download the cleaned image from output_url.

curl -X POST https://api.pixelapi.dev/v1/image/remove-object \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "image=@product.jpg" \
  -F "prompt=the watermark in the top-right corner"
# Response: {"generation_id": "uuid", "status": "queued", ...}

# Poll until completed
curl https://api.pixelapi.dev/v1/image/UUID \
  -H "Authorization: Bearer YOUR_API_KEY"
# Response: {"status": "completed", "output_url": "https://..."}

pip install pixelapi
---
from pixelapi import PixelAPI

client = PixelAPI(api_key="YOUR_API_KEY")
result = client.remove_object(
    image="product.jpg",
    prompt="the watermark in the top-right corner"
)
result.save("product_clean.jpg")

npm install pixelapi
---
import { PixelAPI } from "pixelapi";

const client = new PixelAPI({ apiKey: process.env.PIXELAPI_KEY });
const result = await client.removeObject({
  image: "./product.jpg",
  prompt: "the watermark in the top-right corner"
});
await result.save("product_clean.jpg");

composer require pixelapi/pixelapi
---
<?php
use PixelAPI\Client;

$client = new Client(getenv("PIXELAPI_KEY"));
$result = $client->removeObject([
    "image"  => "product.jpg",
    "prompt" => "the watermark in the top-right corner"
]);
file_put_contents("product_clean.jpg", $result->getBody());

gem install pixelapi
---
require "pixelapi"

client = PixelAPI::Client.new(api_key: ENV["PIXELAPI_KEY"])
result = client.remove_object(
  image:  "product.jpg",
  prompt: "the watermark in the top-right corner"
)
File.binwrite("product_clean.jpg", result.body)

go get github.com/pixelapi/pixelapi-go
---
import "github.com/pixelapi/pixelapi-go"

client := pixelapi.New("YOUR_API_KEY")
result, err := client.RemoveObject("product.jpg",
    pixelapi.RemoveObjectParams{Prompt: "the watermark in the top-right corner"})
if err != nil { panic(err) }
result.Save("product_clean.jpg")

Mask mode — pixel-precise removal without text

When segmentation data is already available (from a prior detection step, a designer-drawn selection, or an automated pipeline), upload a black-and-white mask alongside the image. White pixels mark the area to remove; everything else is preserved exactly.

curl -X POST https://api.pixelapi.dev/v1/image/remove-object \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "image=@scene.jpg" \
  -F "mask=@mask.png"
# mask.png: white = area to remove, black = keep

Pricing — best AI object remover API vs rivals

PixelAPI per-image cost verified from internal pricing audit (October 2026). Rival pricing verified from each provider's public pricing page October 2026. Where rivals do not publish per-call API rates, their pricing page is linked directly.

What you get back

Common workflows

The AI object removal API powers these production workflows. Each link goes to a setup guide for that industry:

More use-case guides: all industries →

Integrations & SDKs

Comparison vs alternatives

Rate limits & error handling

20 requests/minute on the free trial, 60 on Starter, 120 on Pro, and 300 on Scale, with 3/10/20/50 parallel jobs respectively. Exceeding the rate limit returns HTTP 429 with a Retry-After header. Recommended: exponential backoff starting at 2 s, doubling on each retry up to 30 s. The Python and Node SDKs handle this automatically.

# Python SDK auto-retries 429 with backoff
from pixelapi import PixelAPI
client = PixelAPI(api_key="...", max_retries=4)
result = client.remove_object(
    image="bulk.jpg",
    prompt="the price tag",
)  # auto-retries on 429

Common error responses:

Frequently asked questions