Photuneer

Photuneer is a browser-based AI photo editor that lets users modify existing images using natural-language prompts instead of manual layer-and-mask workflows. Users upload one or more photos (up to 10 images per job), describe the desired change in a prompt of up to 1000 characters, and the service generates edited results. Supported operations highlighted on the site include object removal, generative fill to add new objects or details, background replacement, and multi-image combination into a single visual. The editor presents a model selector, with the site's own 'Photuneer 2' model listed alongside third-party models such as Nano Banana 2 and GPT Image 2. Output settings include an auto/1K resolution option and a batch of two generations per request, plus aspect-ratio controls so users can preview how an image fits different placements. The interface is aimed at prompt-driven iteration: keep the source image, adjust the wording, and refine until the result matches the intended direction. Photuneer positions itself for practical photo work rather than fully synthetic image creation. Its marketing examples cover social content, portrait retouching, campaign concepting, and ecommerce product visuals, along with common cleanup tasks such as erasing photobombers, road signs, and clutter. The product is offered as a free online tool with a pricing page and promotional upgrade discounts, indicating a freemium model. No public repository or self-hosted distribution is documented on the homepage, so the service appears to be cloud-only, accessed through a web browser without installation.

Category: AI/ML
Pricing: Free

Problem solved

Editing photos traditionally requires desktop software and manual masking, cloning, and compositing skills, and hiring retouchers or reshooting scenes is slow and costly. Photuneer reduces that effort by letting users describe edits in plain language and having AI perform object removal, background changes, generative fill, and multi-image compositing on existing photos, so everyday images can be polished without advanced editing expertise or a new photoshoot.

Use cases

Remove unwanted objects, signs, or photobombers from a nearly perfect photo
Replace or restyle a photo background to change mood and setting
Add new objects or props to an existing image with generative fill
Turn an everyday phone photo into social-media-ready content
Refine portraits with cleaner backgrounds while preserving the subject's character
Explore campaign or advertising concepts from reference images before production
Generate product image variations for storefronts and promotions
Combine multiple reference images into a single composite visual

Audience

Content Creators
Designers
Business Users
Hobbyists
Product Managers

Pros

Prompt-based editing avoids complex masking and layer workflows
Accepts multiple reference images (up to 10) per job
Offers a choice of models, including third-party options
Free tier available with no software installation required
Aspect-ratio and resolution controls support different placements

Cons

Closed-source cloud service with no self-hosting option
Output quality depends heavily on prompt wording
No public API, repository, or documented third-party integrations
Upgrade prompts and promotional discounts suggest limits on the free tier
Limited public detail on data handling and retention

Official website: https://photuneer.com/

Canonical LambdaBase page: https://www.lambdabase.com/tools/photuneer

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Photuneer

Free

★ 11 • Updated Sep 14, 2026, 10:29 AM

Photuneer is a browser-based AI photo editor that lets users modify existing images using natural-language prompts instead of manual layer-and-mask workflows.

Use Cases ▼

Remove unwanted objects, signs, or photobombers from a nearly perfect photo

Replace or restyle a photo background to change mood and setting

Add new objects or props to an existing image with generative fill

Turn an everyday phone photo into social-media-ready content

Refine portraits with cleaner backgrounds while preserving the subject's character

Explore campaign or advertising concepts from reference images before production

Generate product image variations for storefronts and promotions

Combine multiple reference images into a single composite visual

What Problem It Solves ▼

Key Features ▼

✓

Prompt-based editing avoids complex masking and layer workflows

✓

Accepts multiple reference images (up to 10) per job

✓

Offers a choice of models, including third-party options

✓

Free tier available with no software installation required

✓

Aspect-ratio and resolution controls support different placements

Overview

Full Description ▼

The editor presents a model selector, with the site's own 'Photuneer 2' model listed alongside third-party models such as Nano Banana 2 and GPT Image 2. Output settings include an auto/1K resolution option and a batch of two generations per request, plus aspect-ratio controls so users can preview how an image fits different placements. The interface is aimed at prompt-driven iteration: keep the source image, adjust the wording, and refine until the result matches the intended direction.

Photuneer positions itself for practical photo work rather than fully synthetic image creation. Its marketing examples cover social content, portrait retouching, campaign concepting, and ecommerce product visuals, along with common cleanup tasks such as erasing photobombers, road signs, and clutter. The product is offered as a free online tool with a pricing page and promotional upgrade discounts, indicating a freemium model.

No public repository or self-hosted distribution is documented on the homepage, so the service appears to be cloud-only, accessed through a web browser without installation.