What is an object removal API?

An object removal API is a web service that automatically removes unwanted elements from images using AI inpainting. You send an image and a mask defining the object to remove, and the API returns a version with that object gone and the area filled with context-aware content — matching surrounding textures, lighting, and patterns. Used by ecommerce brands, real estate platforms, photo editors, and content moderation systems to clean images at scale.

How does AI object removal work?

The API combines object-aware segmentation with context-aware inpainting. The masked region is analyzed in the context of the surrounding scene, and the pipeline regenerates plausible content that matches texture, lighting, perspective, and patterns. Unlike simple pixel-patching, the fill is grounded in the rest of the image so the removal is seamless.

What can I remove from an image?

Anything you can mask — people, watermarks, logos, text overlays, distracting objects, clutter, props, reflections, power lines, stray vehicles, and more. The API handles both small elements (text, stickers) and large ones (entire people or vehicles) equally well. If you can mask it, the API can remove it.

Do I need rights to the image I'm modifying?

Yes. Use images you own, have licensed, or have permission to modify. Removing a watermark or logo from an image doesn't grant you rights to the image or the modified output — ownership follows the source. For commercial use, prefer your own photography or licensed stock, and be aware that removing protected elements (trademarks, copyrighted logos) from third-party content may create additional legal exposure on top of image rights.

Do I need to provide a mask?

Yes. Provide a binary mask defining the region containing the object to remove. The API fills the masked area with context-aware content.

How precise does the mask need to be?

The mask defines where the API will operate — it doesn't need to be pixel-perfect. Slightly oversized masks (a few extra pixels around the object) generally work better than tight ones, since they give the inpainting model more context to blend the fill. Loose brush strokes from a consumer app's eraser tool are fine for most removals. Very tight or jagged masks may leave edge artifacts.

How do I generate masks for this API?

Binary masks (white for the region to remove, black elsewhere) can be generated via any standard image editor, segmentation model, or mask-generation service. Common approaches: SAM (Segment Anything Model) or U2Net for automated object segmentation, hand-drawn brush strokes in your frontend for user-driven cleanup, or bounding-box-to-mask converters for rough jobs. The API accepts masks as standard JPEG, PNG, or WebP image inputs.

How natural does the fill look?

Very natural. The pipeline matches surrounding texture, lighting, perspective, and patterns. There's no visible seam, no color mismatch, no obvious artifact. Output quality is production-ready for ecommerce listings, real estate photos, and editorial content.

What happens if the removal fails or the mask is bad?

The API returns a structured response for every call — successful removals return the cleaned image URL, failed removals return an error code with a descriptive message so your integration can handle the failure (retry with a refined mask, fall back, or surface to the user). For transient infrastructure issues, internal retries are included in the price, so most retryable failures never reach your code.

How much does the object removal API cost?

$0.48 per image with simple fixed pricing. Sign up and get $10 in free GPU credits to try it out. Contact us for volume pricing on bulk workloads.

Can I process images in bulk?

Yes. Batch endpoints with async webhook delivery. Process thousands of images per job — ideal for catalog cleanup, moderation pipelines, and automated post-processing workflows.

How fast is the object removal API?

Typical response times are under 3 seconds for standard resolution images. Built for production workloads with consistent latency at scale.

What image formats are supported?

JPEG, PNG, and WebP. Output format depends on the solution.

Typical response times are under 5 seconds for standard resolution images.

How does pricing work?

Simple fixed per-call pricing. No GPU costs, no infrastructure to maintain.

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Remove anything from any image

Object Removal API

Remove people, watermarks, logos, and clutter from any image. Clean product shots, listing photos, and user-generated content with one API call.

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Start with $10 in free GPU credits on signup — no commitment

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Rated 5/5 by early access developers

BetterPic·Read case study

BetterPic uses Runflow’s Object Removal API to clean artifacts from AI-generated headshots before delivery.

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Average processing time

$0.48

Per image, fixed pricing

4096px

Max resolution supported

Anything

People, logos, clutter, watermarks

How it works

No pipeline to build, no models to configure.

Send image + mask

Pull your source image and a binary mask defining the object to remove. JPEG, PNG, or WebP up to 4096x4096 pixels.

AI removes and fills

Runflow's pipeline removes the masked region and fills it with context-aware content — matching texture, lighting, perspective, and patterns from the surrounding scene.

Get your clean image

Receive the cleaned image in under 3 seconds. Re-run with different masks to remove multiple objects — each call is $0.48/image.

Remove any unwanted element

People, watermarks, logos, text overlays, distracting props, clutter. Mask the element and the API removes it — whatever it is, whatever it's on top of. No need to train a detector per object class, no per-use-case configuration.

Handles people, logos, watermarks, text, props, clutter, and more

Works on any scene type — product, real estate, landscape, editorial

Small elements (stickers) and large ones (vehicles) both supported

Context-aware inpainting, not pixel patching

The removed area is filled with content grounded in the surrounding scene. Texture, lighting, perspective, and patterns are all preserved — not averaged or cloned. The result has no visible seams, no color mismatches, no obvious artifacts.

Fill matches surrounding texture, lighting, and perspective

Seamless edges — no visible editing artifacts

Quality suitable for ecommerce, real estate, and editorial use

Batch cleanup at production scale

Process thousands of images per job with consistent output quality. Built for catalog cleanup, content moderation, and automated post-processing pipelines where removal has to be fast, reliable, and identical across runs.

Batch processing with async webhook delivery

Consistent output quality across entire catalogs

JPEG, PNG, and WebP input/output up to 4096x4096px

One API, every cleanup workflow

Skip training per-object detectors, hosting inpainting models, or managing GPU infrastructure. Send an image and a mask, get a cleaned image back — across every use case from listing photos to UGC moderation.

One API call per removal — no per-class training required

Plug into catalog, moderation, or photo-editor pipelines

Image + mask = result

Object removal for every image workflow

From product cleanup to UGC moderation. Remove unwanted elements cleanly at scale.

Ecommerce & DTC Brands

Remove distractions, props, and watermarks from product photos before publishing. Clean listings at scale without reshooting. Think: Shopify Plus, Amazon sellers, BigCommerce stores.

Real Estate & Listings

Remove clutter, personal items, and staging props from property photos. Turn lived-in rooms into professional listing imagery. Think: Zillow, Airbnb, Compass, Redfin.

Photography Studios & Post-Production

Remove unwanted people, vehicles, or distractions from landscape, architectural, and editorial shoots. Deliver client-ready imagery faster without manual reshooting cycles.

Photo Editing Apps

Add AI object removal as a feature in your photo editor. Users mask, get a clean result instantly. Think: Photoroom, Canva, Pixlr, Snapseed.

Content Moderation Platforms

Auto-remove logos, watermarks, or unwanted overlays from user-generated content. Platform-scale cleanup for social networks, marketplaces, and UGC products.

Ad Creative & Marketing

Remove 3rd-party logos or branding from stock imagery before using in campaigns. Avoid IP issues, keep creative on-brand. Think: Meta Ads, Google Shopping, TikTok Ads.

“

We use Object Removal to polish every AI headshot before delivery. Generated images sometimes include artifacts — a coffee cup on the desk, an awkward hand near the face, a stray wall detail. Object Removal cleans these up as part of our pipeline, so what our users receive looks consistently professional. One API call, and small imperfections disappear.

Thibaut Hennau

CEO, BetterPic

Simple, per-image pricing

One price per removal. No GPU fees, no infrastructure to manage.

$0.48/image

Fixed pricing for object removal.

One API call per removal. Re-run with different masks to clean up multiple objects — no setup fees, no surcharges.

$10 in free GPU credits on signup

Context-aware inpainting (not pixel patching)

Remove people, watermarks, logos, text, or clutter

Up to 4096x4096px resolution

Batch processing with async webhooks

Under 3 seconds processing time

Get API access

Build vs. buy

Build your own

Weeks to ship

Mask pipeline + inpainting model + GPU + retry + batching

Runflow API

$0.48/image

One API call, production-ready, under 3 seconds

Processing large volumes?Contact for volume pricing

Your data stays yours

Images are processed in isolated environments with automatic cleanup. Zero data retention by default.

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ISO 27001· In progress (Q3 2026)

GDPR

SOC 2 Type II compliant.

AES-256 encryptionIsolated processingEU data residency available

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Frequently asked questions

Remove anything from any image. At production scale.

One API call. $0.48/image. People, watermarks, logos, clutter — whatever needs to go. Start with $10 in free GPU credits on signup.

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