Image Object Removal API

Image Object Removal API

Remove unwanted objects from images in seconds

5.0
β€’30 reviewsβ€’

325 followers

This API uses state-of-the-art AI to cleanly remove people, objects, text, or background distractions while preserving image quality and realism. ⚑ One-call API β€” simple input, clean output 🎯 High-quality inpainting β€” natural, artifact-free results 🧠 Works on complex scenes β€” people, shadows, clutter πŸ’Έ Affordable & fast β€” ideal for production use πŸ”Œ Built on Replicate β€” easy to integrate
Image Object Removal API gallery image
Image Object Removal API gallery image
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Launch tags:Design Toolsβ€’APIβ€’Artificial Intelligence
Launch Team / Built With
Migma AI
Migma AI
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What do you think? …

Bikash Pokharel
Hey Product Hunt πŸ‘‹ I’m Bikash, the maker of Image Object Removal API. I built this after repeatedly needing to remove people, clutter, and random objects from images while building products and realizing most tools were either manual, expensive, or low quality output. This API focuses on: clean, realistic result simple input speed + affordability for real production use I’d love feedback from: developers integrating image tools founders building photo or e-commerce products anyone who’s struggled with Photoshop πŸ˜… Happy to answer questions, share benchmarks, or talk about how it works under the hood. Thanks for checking it out and supporting makers! πŸ™
Marina

@bikash_pokharelΒ  hi there! i am founder building photos for e-commerce products =) my feedback - feels very straightforward in a good way. Mark it, remove it, done

Congrats on the launch!

Bikash Pokharel

@marina_sysoevaΒ i'm glad you liked it and thanks for your comment!

I wanted to make something very easy to use.

If you use Figma, you should check out my plugin in Figma too. Link here: https://www.figma.com/community/plugin/1576512610054427811

Or browser: https://www.imgour.com/image-object-remove

:)

Anton Loss

That's an interesting idea to have this service as an API. You should check your product link, it doesn't seem to work atm - "Page not found" error.

Bikash Pokharel

@avlossΒ Hi Anton, i just fixed the link. Thanks for the heads-up!

Update link here: https://replicate.com/dpakkk/image-object-removal

Stella.W

Is this provided as an API?
How is it priced?
Can it remove elements other than people, such as watermarks or subtitles?

Bikash Pokharel

@stellawwwwwwwΒ 

Yes β€” it is an API that you can integrate into your app or workflow. It’s built on Replicate and exposes a simple REST API where you send an image + mask and get back the edited result.

You can check this product page for pricing. It's basically $1 for 4545 API request. https://replicate.com/dpakkk/image-object-removal

It can remove objects, text, background distractions, and more, not just people.

Let me know if you need any help!

Yu Pan

This hits a very real pain point β€” clean object removal at API level is surprisingly hard to get right. Love the focus on realistic results and production readiness, not just demos.
Curious: how does the API handle tricky cases like hair, shadows, or overlapping objects, and what kind of latency are you seeing in real-world use?

Bikash Pokharel

@pany_aiΒ 


Thank you for your kind words!

For hair, shadows, and overlapping objects, the API uses diffusion-based inpainting rather than classical segmentation + fill. The masked region is reconstructed using surrounding context, so soft edges (hair strands), cast shadows, and partial occlusions are handled as part of the generation step instead of being hard-cut. Results are best with precise masks, but the model is fairly tolerant to imperfect boundaries.

For latency, typical end-to-end inference is in the ~2–5 second range per image at common resolutions. Latency scales with image size and mask complexity, and the API is stateless, so it works well behind queues or async workers in production.

This is already being used in automated pipelines, not just interactive demos.

Yu Pan

@bikash_pokharelΒ That makes a lot of sense β€” diffusion-based inpainting feels like the right call for handling hair and shadows without the usual cutout artifacts. Good to hear it’s already holding up in automated pipelines, not just interactive use.

Curious as you scale this further: are you seeing teams standardize on any mask-generation strategies (human-in-the-loop vs auto-masking), and do you plan to offer guidance or tooling there to help keep results consistent in production?

Bikash Pokharel

@pany_aiΒ Great question!

You don’t need to worry about manually creating masks. Just brush over the area you want to remove and our tools handle the masking automatically.


You can try it out here by uploading an image and editing the object you want to remove: https://www.imgour.com/image-object-remove/

Or, if you prefer working in Figma, you can use this link:
https://www.figma.com/community/plugin/1576512610054427811/photo-object-remover-imgour

Both are built on top of this same Replicate model.

Regarding consistent results, the automatic masking combined with the model already gives reliable outputs across images (you can try it!). We don’t require extra steps in most cases, but of course, we are continuously improving it as we grow.

Yu Pan

@bikash_pokharelΒ Thanks for your reply.Nice, that makes sense β€” the β€œjust brush and go” workflow feels much more approachable than manual masking, especially for non-designers. I like that the same model powers both the web tool and the Figma plugin, that consistency really matters.

Oleg Khasyanov

The idea seems good to me and could work well as an integration for other services. Unfortunately, your website doesn't open, so I can't check your API endpoints or understand what your solution is capable of.

Bikash Pokharel

@olegphenomenonΒ 

The link is fixed now. You can check the full API details here:

https://replicate.com/dpakkk/image-object-removal

Jay Dev

Wow, this Image Object Removal API is seriously cool! The high-quality inpainting looks amazing. Im curious, how well does it handle removing reflections in glass or water?

Bikash Pokharel

@jaydev13Β 

Thanks! It can be a bit tricky, but it still works pretty well. You can try it yourself in the browser and see how it handles reflections: https://www.imgour.com/image-object-remove/

Please share the output with me here. I'm excited to see!

Viktor Shumylo

Congrats on the launch! Love the focus on simplicity and affordability instead of heavy, manual tools. How does it perform on more complex scenes with multiple overlapping objects?