AI Photo Editing: Before and After Transformations
See what AI photo editing can do with real before and after examples. From portrait retouching to landscape enhancement and old photo restoration.
Tasks that once consumed an entire afternoon in Photoshop, removing a background, restoring a faded family photo, replacing a blown-out sky, now take seconds with an AI photo editor. The gap between what these tools can do and what people expect them to do is still wide. This guide walks through the real transformations, category by category.
Portrait enhancement
Portrait retouching is the most mature corner of AI photo editing, and the results are striking. Tools like Remini and Luminar Neo can sharpen soft facial features, correct uneven skin tone, and restore eyes damaged by compression artifacts, all without manual masking.
What actually changes
A typical portrait run through an AI editor sees several simultaneous adjustments: facial geometry sharpened, skin texture smoothed while retaining pores (avoiding the plastic look that plagued older tools), teeth whitened contextually, and eyes brightened. Shadows under the eyes and jawline are reduced without flattening the face.
Luminar Neo's Portrait AI suite goes further with automated face slimming, lip saturation, and even eye enlargement, adjustments that once required a skilled retoucher and careful dodge-and-burn work. The tool applies these changes non-destructively.
Mobile vs desktop
Remini leads on mobile: it processes a single portrait in under 10 seconds and consistently recovers detail from low-resolution or heavily compressed images. Adobe Lightroom's mobile app with AI Denoise handles low-light portraits better than most dedicated tools, using the full raw file data to reconstruct lost shadow detail.
For studio-quality work, Luminar Neo on desktop is the benchmark. Its Relight AI builds a 3D depth map of the scene so you can adjust foreground and background exposure independently, particularly useful for portraits shot in harsh midday light or against bright windows (Evoto AI review).
Landscape editing
Landscape photography has its own class of AI transformations. The two most requested, sky replacement and lighting correction, have become one-click operations.
Sky replacement
Luminar Neo's Sky AI is the category leader. Upload an image with a flat grey sky, and the tool segments the sky from the ground plane, replaces it with a selection from its library (or your own), and recolors the ground to reflect the new light source. The reflection recoloring is what separates it from simple masking: water surfaces, glass windows, and even light-colored rock faces pick up the hue of the new sky.
Adobe Photoshop's Sky Replacement (under Edit > Sky Replacement) uses a similar approach and integrates directly into the existing layer workflow, which is useful if you're already editing in Photoshop. The main difference: Luminar does it automatically, while Photoshop gives you more manual override options.
Lighting correction
Flat lighting is the most common problem in landscape shots. AI Relight in Luminar Neo analyzes the depth of the scene and lets you add a virtual light source, mimicking golden hour illumination on a shot taken at noon. The before/after on a flat-lit forest scene is dramatic: shadow detail opens up, color saturation increases in the highlights, and the image gains the dimensional quality that separates memorable landscapes from snapshots.
Imagen AI notes that what was once multi-step Lightroom work, graduated filters, radial masks, HSL adjustments, now happens in a single AI pass.
Product photos
E-commerce is one of the biggest commercial beneficiaries of AI photo editing. Most online product images need three things: a clean background, consistent lighting, and sharp detail. AI tools can now deliver all three automatically.
Background removal
Remove.bg remains the fastest pure background remover, processing most product images in under two seconds with clean edge detection around complex shapes like jewelry chains and transparent bottles. It's not perfect on fine fur or hair, but for the vast majority of product shots, the output is ready to use.
Adobe Photoshop's Generative Fill takes this further: once the background is removed, you can replace it with an AI-generated background that matches a specific setting ("white studio seamless" or "marble countertop") or inpaint a more elaborate scene around the product.
Consistency at scale
The real transformation for product photography isn't a single image, it's batch processing. Tools like Aftershoot handle catalogues of hundreds of product images, applying a consistent edit profile to maintain uniform exposure, white balance, and sharpness across an entire collection. For brands managing thousands of SKUs, this changes the economics of product photography entirely.
Restoration
Old photo restoration is where AI produces the most emotionally significant transformations. A scanned print from the 1940s, soft, faded, scratched, can be returned to clarity in ways that would have taken a professional retoucher days of careful work.
How AI restoration works
The process chains several models. First, upscaling: tools like Let's Enhance use super-resolution models to increase image resolution without introducing blurring or the stair-step artifacts of traditional upscaling. A scan at 300 DPI can be intelligently upscaled to 1200 DPI with genuine detail reconstruction, not just interpolation.
Second, damage repair: scratches, dust spots, and tears are identified and inpainted using context from surrounding pixels. Third, colorization: black and white photos can be colorized using models trained on period-accurate palettes. Tools like JPGHD combine all three into a single pipeline.
Realistic expectations
AI restoration is impressive but not perfect. Heavily damaged areas, large tears, severely overexposed sections, still require manual work. And colorization, while convincing in many cases, is educated guessing: the model doesn't know what color a specific dress actually was. For archival purposes, the original scan should always be preserved alongside the restored version.
Color grading
Color grading was once the domain of cinema colorists and required expensive software like DaVinci Resolve and years of practice. AI has brought cinematic color grading to photographers and content creators at every skill level.
AI-powered LUT application
A LUT (Look-Up Table) is a mathematical transformation that maps input colors to output colors, creating a specific visual style. AI tools now go beyond simple LUT application, they analyze the specific content of your image and adjust the grade to fit. Skintones are protected from color casts; highlights are rolled off to preserve detail; shadows retain their color information rather than going muddy.
Picsart and Lightroom's AI-powered Adaptive Presets do this automatically: the preset looks different on a sunset portrait than it does on a forest landscape, because the AI has modulated it for the content.
Matching a specific look
One of the more useful applications is style matching: upload a reference image with a color grade you like, and the AI analyzes its color distribution and applies a similar treatment to your photo. This is available in Luminar Neo and several standalone tools. The result isn't identical to the reference, but it's close enough to be a useful starting point that saves significant time.
Best tools
Here's a practical breakdown of which tools deliver the best results for each use case:
For portrait photographers
Luminar Neo ($79/year or $149 one-time) is the most thorough desktop solution, with the best combination of AI tools for portraits and landscapes. Its one-time purchase option is increasingly rare in this market.
Remini (free with in-app purchases, ~$9.99/month for Premium) is the best mobile option for portrait enhancement and restoration.
For product photographers
Remove.bg (free tier; Pro from $9.99/week) for background removal. Adobe Photoshop ($22.99/month as part of the Photography plan) for full generative capabilities and professional workflow integration.
For photo restoration
Let's Enhance handles upscaling and quality improvement. JPGHD is specialized for old photo restoration with colorization. Both offer pay-per-image and subscription models.
For batch editing professionals
Aftershoot (subscription-based, pricing varies) is the clear choice for photographers handling high volumes of images, event photographers, real estate shooters, and e-commerce teams.
For beginners
Fotor offers a free ad-supported tier with AI background removal, generative fill, and portrait retouching. Piktochart's roundup notes Fotor as consistently one of the most accessible entry points.
The transformation AI photo editing has enabled is real. These tools have moved from novelty to workflow staple, and the gap between what a professional retoucher can do manually and what AI delivers automatically is narrowing every year. For most everyday editing needs, AI is already good enough, and it keeps improving.
Sources: