Best AI for Photo Editing

AI photo editing is one of those categories where the tools have genuinely changed professional workflows rather than just adding a new capability that professionals ignore. Background removal, object removal, skin retouching, photo restoration, and outpainting are all tasks that have moved from "slow manual work" to "AI handles the 80%, human adjusts the 20%" in the last two years.

The challenge is that "AI photo editing" covers very different things. Removing a background is a different problem from restoring a damaged photo, which is different from extending an image beyond its borders, which is different from replacing a sky. The tool that's best for one task is not always the best for another.

This guide covers five tools that I'd actually recommend for photo editing work in 2026, with a clear opinion about where each one wins.

How I evaluated these tools

I tested four types of photo editing tasks that represent real professional and amateur needs.

Background removal and replacement: Isolating a subject from its background, cleanly handling complex edges (hair, fur, transparent fabric), and replacing the background with AI-generated or solid content.

Object removal and inpainting: Removing unwanted elements from a photo, people in the background, distracting objects, blemishes, and filling the space with content that matches the surrounding image.

Photo restoration: Repairing old or damaged photos, including crease removal, tear repair, water damage correction, and face restoration on aged portraits.

Outpainting and extension: Extending a photo beyond its original frame, adding content that plausibly continues the scene.

1. Runway

Runway is the most complete AI photo editing tool on this list when you factor in the breadth of editing capabilities, the interface quality, and the output reliability. For professional or semi-professional photo work, the combination of background removal, inpainting, and image generation in a single platform makes it the strongest choice.

The background removal is Runway's strongest single feature. The masking algorithm handles complex subjects, a model with flyaway hair, a glass object on a reflective surface, a subject wearing sheer fabric, at a quality level that competes with Photoshop's neural filters while being faster and requiring no selection tool work. Paste the image, click remove background, and the result is almost always usable without manual refinement.

The inpainting for object removal is accurate. Select the area you want removed with a brush, describe what should replace it (or leave the prompt empty for automatic fill), and Runway generates fill content that matches the surrounding context. On a landscape photo with a power line crossing the frame, Runway removed it and filled in consistent sky and background detail. On a portrait with a bystander in the background, the replacement was natural-looking at normal viewing distance.

The image extension (outpainting) is solid for environmental backgrounds. For product photography where you're extending a white or simple background, the results are consistently clean. For complex scenes with architectural detail or strong patterns, you'll sometimes need multiple attempts.

Runway is a subscription product, not a per-image API. For individual creators and small teams, the $15-35/month pricing makes sense. For developers who need to integrate photo editing capabilities into an application, the API pricing is less competitive than building on top of Stable Diffusion or DALL-E.

Best for: Professional photo editing workflows, background removal on complex subjects, object removal and inpainting, teams that want one tool for the full editing scope. Pricing: Standard $15/month; Pro $35/month; Unlimited $95/month.

2. Stable Diffusion (with inpainting)

Stable Diffusion is the right tool for photo editing if you want maximum control or if you're doing high-volume editing where per-image cost matters. The open-source ecosystem has specialized extensions for almost every photo editing task: segmentation models for background removal, GFPGAN and CodeFormer for face restoration, ControlNet for style-consistent editing, and inpainting models fine-tuned for specific types of content.

For photo restoration specifically, Stable Diffusion with the right models is the best available option outside of professional software like Adobe Photoshop. GFPGAN handles face restoration on old photographs with a quality that commercial tools haven't matched, it recovers detail in degraded portraits that general inpainting models can't reconstruct. For family photo restoration, this combination of Stable Diffusion + GFPGAN is what professionals actually use.

The ControlNet extension makes Stable Diffusion specifically powerful for style-consistent editing. If you want to make targeted changes to a photo, adjust the lighting, change a specific element, alter the color grading, while preserving the overall composition and character of the image, ControlNet gives you that control. Commercial tools don't offer this level of steering without significant manual effort.

The limitation is always setup and technical skill. Getting Stable Diffusion running with the right models, understanding which inpainting approach to use for which task, and troubleshooting when results are inconsistent requires a level of technical investment that most photographers won't want. For users who can get through the setup, the capabilities are unmatched. For everyone else, Runway or DALL-E 3 are easier starting points.

Best for: Photo restoration (especially face restoration with GFPGAN), high-volume editing where per-image cost matters, technical users who want maximum control over the editing process. Pricing: Free (open-source); cloud GPU time $0.20-0.50/hour on RunPod or Vast.ai.

3. DALL-E 3 (via API inpainting)

DALL-E 3's inpainting capabilities through the Images API are useful for developers building photo editing into products, and for end users working in the ChatGPT interface who need occasional editing assistance.

The outpainting through DALL-E 3 is the feature I'd highlight. Extending a product photo on a white background, adding context around a portrait, or extending a landscape photo to a wider aspect ratio all produce clean results. The prompt-guided fill is more controllable than Runway's automatic inpainting, you can specify exactly what you want in the extended area rather than letting the model decide.

The API integration is the primary reason DALL-E makes this list. If you're a developer building a photo editing workflow into a product, a social media tool, an e-commerce platform, a real estate listing site, the DALL-E 3 API is the most accessible way to add AI editing capabilities. The API is well-documented, the pricing is per-image and predictable, and the integration is straightforward.

For regular end users, the ChatGPT interface provides access to DALL-E 3 editing through a conversational interface. Upload a photo, describe what you want to change, and DALL-E edits it. This is slower and less precise than a dedicated editing tool, but it requires no setup and works well for simple tasks.

The limitation is control. DALL-E 3 doesn't give you brush-level masking, precise selection tools, or the ability to specify the exact area you want edited with fine accuracy. For complex editing tasks that require precise selection, Runway or Stable Diffusion handle the masking better.

Best for: Developers integrating photo editing into products via API, outpainting and photo extension, ChatGPT users who need occasional editing without switching tools. Pricing: API at $0.04-0.12 per image; included in ChatGPT Plus ($20/month) for direct editing.

4. Flux (via inpainting)

Flux 1.1 Pro's photorealism makes it specifically useful for one photo editing task: replacing backgrounds behind real subjects where the replacement needs to look photographic rather than generated.

When you remove a product from its background in Runway and want to place it in a new scene, a kitchen counter, a retail shelf, a lifestyle environment, generating that replacement background with Flux produces a result that's photorealistic enough to look like a genuine location shot. The lighting quality and environmental detail in Flux backgrounds are better than what DALL-E 3 produces, which matters when the composite needs to look real.

The workflow is: background removal in Runway, background generation in Flux, composite in any image editor. It's a three-tool workflow, which is the honest limitation. Flux doesn't have a dedicated photo editing interface, you're using it as the image generation engine in a pipeline, not as a standalone editing tool.

For e-commerce product photography, where companies need hundreds of products in dozens of lifestyle backgrounds, this pipeline is economically attractive. Flux API pricing is low enough for production volume, and the quality of the generated backgrounds is high enough to replace some location photography.

Best for: Generating photorealistic replacement backgrounds for product compositing, e-commerce photography workflows, any editing task where background quality matters. Pricing: Flux 1.1 Pro approximately $0.04/image via API.

5. Ideogram 2

Ideogram makes this list for a specific editing use case: adding text to images. If you're editing a photo to include a caption, a product label, a logo placement, or any typographic element that needs to read clearly, Ideogram 2's text rendering is in a different category from every other tool here.

The use case is more specific than the other tools on this list. Ideogram isn't a general photo editor, it's an image generation tool with exceptional text handling. But for photographers and designers who regularly add text to images (social media graphics, promotional materials, product packaging mockups), the ability to describe "place this headline text in the lower third of the image in a bold sans-serif font" and get a result where the text actually reads correctly is genuinely useful.

The practical workflow is: edit the photo in your primary tool, export it, use Ideogram to generate a version with the text element you need added. It's not smooth, but for designers who produce high volumes of text-on-image content, it's faster than manual text placement with the same typographic quality.

Best for: Adding text overlays to photos, social media graphics requiring readable typography, promotional image design where text is part of the composition. Pricing: Free tier (10 priority generations/day); Basic $8/month; Plus $20/month; Pro $40/month.

Comparison table

The honest recommendation

For most photographers and designers who want a reliable photo editing tool without a technical setup, Runway is the right answer. The background removal is the best on the market, the inpainting handles complex object removal reliably, and the interface is polished enough to use without training. The subscription pricing is fair for the breadth of what you get.

If you're doing photo restoration, especially of old portraits, Stable Diffusion with GFPGAN is the honest recommendation even with its technical overhead. The face restoration quality is materially better than anything else available, and for restoration work the setup investment pays for itself quickly. If you're not willing to deal with the setup, Runway handles basic restoration tasks adequately.

For developers integrating photo editing into a product, DALL-E 3 via the Images API is the starting point. The documentation is the best, the API is the most reliable, and the outpainting quality is strong for extension tasks. Layer Flux API calls on top of DALL-E when you need photorealistic background generation for product compositing.

Ideogram 2 is a narrow recommendation but a correct one: if you regularly need to add text to photos and need it to look right, Ideogram 2 is the only tool that handles it reliably. Use it for that specific task and use Runway or Stable Diffusion for everything else.

For image generation from scratch (rather than editing existing photos), see our guide to the best AI for image generation.

Frequently asked questions

Which AI tool is best for removing and replacing photo backgrounds in 2026?

Runway's background removal is the cleanest for complex subjects (hair, transparent fabrics, irregular edges). For simple products on clean backgrounds, DALL-E's inpainting through the API or Stable Diffusion with a good segmentation extension handles the task at lower cost. Ideogram 2 can generate replacement backgrounds with better typographic integration than other tools.

Can AI restore old and damaged photos?

Yes, and it's one of the strongest current AI photo applications. Stable Diffusion with inpainting (or dedicated restoration models like GFPGAN for faces) can restore creases, tears, and water damage with impressive results. The best workflow involves a combination of a restoration model for damage repair and a face enhancement model for portrait restoration.

Is AI photo editing good enough for professional photographers?

It depends on the task. Background removal and object removal have crossed the professional threshold, the AI results are faster and often cleaner than manual masking for complex subjects. For subtle skin retouching and color work, AI tools accelerate the process but professional photographers typically want manual control for the final output. The tools have changed which tasks require manual effort, not eliminated the need for skilled editing.

Can AI realistically extend photos beyond their original borders?

Outpainting has improved significantly. DALL-E 3 via the API and Runway's inpainting both handle photo extension with plausible content that matches the existing image style. The results are best on environmental scenes and landscapes; complex architecture and pattern-heavy backgrounds are still inconsistent. For product photography where the background extends to white, the results are consistently clean.