Who is Photoshop for now? 🤷‍♂️ (update 27.10.0)

Here's a question I've been carrying around for a while now, and I still haven't got a tidy answer for it …

Who is Photoshop for now?

For most of the years I've been using it, Photoshop has been the place I go to disappear. I'll open an image with a rough idea of where I want to take it, start working, and the next time I look up properly two hours have gone. That isn't just productivity, it's creative escapism, and I think that deep flow state is why so many of us fell in love with the application in the first place.

Lately though, opening Photoshop feels a bit different. It feels like it wants something from me. It wants me to write a text prompt, it wants me to keep an eye on my generative credit balance, and it seems remarkably keen to show me what it can do without me.

I want to be clear about where I'm coming from. I love Photoshop; it's what I do, it's what I built my career on, and I'm not going anywhere. But when you genuinely care about a tool you pay close attention to the direction it's pointing in, and looking at what's arrived in recent releases like version 27.10.0, I think it's worth having an honest conversation about where things are heading.

Two interfaces and a bit of an identity crisis

There are a few significant shifts in the interface in the newer updates.

The contextual taskbar now has a dedicated Prompt to Edit button, so instead of making a careful selection first, you can prompt changes right across an entire image using various AI models.

Then there's the AI Assisted Editor workspace, which you can enable from the menus. Switch to it and Photoshop strips away your layers, your familiar tools and your adjustments, and replaces the lot with a prompt driven layout that looks and behaves like Adobe Firefly sitting inside Photoshop.

There's also the Pro Editor label. The workspace you and I have used for decades, with its layer stacks, blend modes, masks and smart objects, is now officially labelled the Pro Editor to tell it apart from the AI Assisted mode. Photoshop never used to need a qualifier; it was just Photoshop.

I do understand the logic from Adobe's side. The full Photoshop interface is intimidating for beginners and a simplified prompt box lowers the barrier to entry, but turning the whole canvas into a prompt box disables the very foundation that makes Photoshop worth learning in the first place, which is non destructive layers, precise pixel control, and being able to unpick your creative decisions months down the line.

If someone purely wants to generate an image from text, they've already got dedicated web tools and mobile apps for that. What they don't need is desktop Photoshop with its core strengths stripped out.

Resolution and control

Beyond the workflow philosophy there are some practical hiccups when you lean on whole image generative edits.

Run a full prompt, asking the software to add weather effects say, and it generates an entirely new flattened layer. Even with the recent improvements to generation resolution, the output is often softer and lower in detail than your original camera file.

If you then try to mask through to recover the original sharpness on your subject's face, you run into problems fairly quickly. Perspective shifts, subtle facial alterations and mismatched lighting mean the generated background no longer lines up cleanly with the original capture, so you end up spending extra time fixing blend modes, manually aligning shifted anatomy and correcting colour mismatches, just to make the composite work.

The credit counter

There's another subtle shift that changes how the software feels to use, and that's the generative credit counter.

Adobe have made the right decision by being transparent and showing you exactly what a generation will cost before you press the button; hiding the cost would be far worse. But seeing that meter tick down does introduce a psychological hesitation.

You pause before generating. You wonder whether this variation is worth spending a credit on or whether you ought to save it, and if the result comes back slightly off, you've then got to decide whether a second roll of the dice is worth the cost.

In twenty years of editing I've never opened a Curves adjustment and wondered whether I could afford it. I've never dodged and burned a portrait with a bill running in the corner of the screen. Creativity thrives when you're free to experiment, fail and try again without an active meter running.

The quiet lane and the loud lane

I don't want any of this to sound like a complaint about modern features. In recent updates to Camera Raw, Adobe introduced a new Glow adjustment covering diffusion, bloom and halation. It doesn't need a prompt. It's practical, it's well engineered, and it's built directly for photographers and retouchers, which is Adobe at their absolute best.

Historically Photoshop has moved forward in two lanes at the same time. There's the loud lane, the flashy headline grabbing features that generate all the excitement, and there's the quiet lane, the foundational unglamorous refinements to core tools, performance, selections and menus that quietly save you ten minutes on every job for the next five years.

My concern isn't that generative AI exists in Photoshop. My concern is that the quiet lane slows down because all the engineering focus goes into the loud one. We need generative tools when they genuinely speed up complex retouching work, but we also need the core engine to keep advancing, and we shouldn't have to choose between modern AI assistance and the deep precise craft of manual image making.

I'd be interested to know where you've landed on it, whether the generative tools have changed the way you work, or whether you're staying firmly in the layer stack.

Iron Clothes in Photoshop in 30 Seconds

Almost every conversation I see about AI and photography is about generating things that were never in the frame in the first place, and that's never been the part that interests me. What I actually care about is getting time back. The small distractions that were out of my control on the day, the ones that used to cost me twenty minutes with the healing brush, can now be sorted cleanly in seconds with the texture still intact.

Wrinkled clothing and folded backdrops are the two that come up again and again. So here's how I deal with both.

The orange t shirt

First job on this one was a distracting logo on the shirt, and for that I go straight to the Remove Tool. The setting worth knowing about is Auto, which lets Photoshop work out for itself whether it needs standard content aware fill or whether it needs to reach for generative AI. On a simple cleanup like a small logo it'll usually just handle it locally, which means you're not burning generative processing on something that didn't need it.

With the logo gone, the creases were the bigger problem, and that's a three step job.

Make a loose selection around the whole shirt with the standard Lasso Tool. Nothing precious about it, loose is fine. Then open Generative Fill from the contextual taskbar and pick the Firefly Image 5 model, which in my experience is much better at editing what's already there and preserving fine detail than it is at inventing things you didn't ask for. Then type a clear prompt: "remove the creases from off the orange t shirt".

That's it.

What comes back has the harsh creases gone but the natural drape still there, along with the shadows and the weave of the fabric. It still looks like a t shirt someone was actually wearing, which is the whole point.

That slightly crispy edge, and the Quick Mask fix

The second example was a branded white t shirt, and that's a bit more involved because you want a proper selection rather than a loose lasso.

The Object Selection Tool is quick here, and using Select People and then Upper Clothes gets you there in a couple of clicks. The catch is that it can leave a hard, slightly crispy edge, and you tend to notice it most around the neckline where the shirt meets skin.

In Adobe Camera Raw and in Lightroom there are dedicated Feather and Edge sliders for AI masks, which sort this out instantly. Photoshop doesn't have those in the main workspace at the moment, so you need a workaround, and the one I use is Quick Mask.

Make your selection with the Object Selection Tool, then tap Q to drop into Quick Mask Mode. Go to Filter, then Blur, then Gaussian Blur, and put in something small; I'm usually somewhere between 1 and 1.2 pixels. Tap Q again to come out.

That tiny bit of blur softens the boundary between the mask and the skin so the transition reads as natural rather than cut out.

Being specific is the whole game

This is the bit I'd underline if I were underlining anything.

Generative Fill still needs a clear instruction even when you've made a precise selection. If you type "remove the creases" and nothing else, more often than not you'll get nothing back at all, because the model hasn't been given enough to go on.

Prompt it with "remove the creases from off the white t shirt" instead and it knows exactly what it's looking at and what you want doing. The folds go, the printed typography stays where it was, and the grain of the fabric survives.

It feels fussy the first couple of times. It stops feeling fussy the moment you see the difference.

The same thing works on backdrops

Studio backgrounds are the other one, and the workflow is identical.

Select your subject with Select and then Subject, then invert it with Select and then Inverse so it's the background you're working on rather than the person. Soften that boundary with the same Quick Mask and Gaussian Blur trick, which matters more here than anywhere else because of hair and shoulders.

Then in Generative Fill, be even more specific than you think you need to be. Something like: "remove the creases from off the grey background. do not change the look of the grey background. keep the texture etc."

Those extra instructions are doing real work. Without them you can end up with a background that's been quietly smoothed into a flat, artificial gradient, and you've lost the character of the thing entirely. With them, the fold lines from a portable backdrop like the Westcott Vintage Grey X-Drop Pro disappear and the texture stays exactly as it was.

None of this is compulsory

I'm not telling anyone they have to work this way. If you enjoy retouching every fold by hand, and plenty of people genuinely do, there's nothing wrong with that at all and the results will be lovely.

But if you'd rather spend less of your life sat in front of an editing screen and more of it on the actual photography, using these tools deliberately, on the boring problems rather than to invent things that were never there, is a big win.

Camera Raw 18.5: New Blemish Removal + What Adobe Got Wrong

Camera Raw 18.5 landed on the 4th August, and alongside the usual long list of small tweaks there are three additions worth knowing about. Two of them are quick admin jobs. The third is a brand new portrait tool that genuinely changes how retouching works inside Camera Raw.

One thing to get out of the way first. All three are Camera Raw only at the moment. They aren't in Lightroom Desktop or Lightroom Classic yet. Camera Raw is the processing engine sitting underneath the whole Lightroom family, so new features tend to turn up there first and then work their way across to everything else. If you've got Photoshop, you can start using all of this today through the Camera Raw Filter, on raw files, JPEGs, TIFFs, or an individual layer.

Turning the generative AI features off

If you enter competitions, or you deliver to clients who want to know nothing generative has been near their files, or you'd simply rather not have those tools sitting there in front of you, you can now switch them off completely.

Open Preferences, the settings icon, go to the Generative AI tab and uncheck Enable Generative AI Features. That's it.

What it turns off is the three tools that make brand new pixels out of thin air. What it leaves alone is Denoise, Super Resolution and the standard Remove tool, because none of those are generative.

One thing to watch. The setting is per machine, so if you work on a desktop and a laptop you'll need to turn it off on both.

Two small additions to the vectorscope

If you use the vectorscope for colour work, and you'll find it by right clicking the histogram and choosing Show Vectorscope, there are two new options in there.

You can now line Red up at 3 o'clock, which matches the layout video editors have been using for years. And you can toggle on LAB values so you're reading actual numbers rather than eyeballing it, which is handy when you're matching skin tones across a whole shoot rather than one frame.

Small stuff, but if you're already living in the vectorscope you'll appreciate both.

The new Blemish Removal

This is the headline addition, and it lives inside the Remove panel under a new section called Distraction Removal, then Blemishes.

Click Apply and it runs an automatic first pass across the face. That one click gets you a decent way there, but only a decent way. The bit that actually matters is understanding what the two sliders underneath are doing, because they're doing two very different jobs.

Amount, for the temporary stuff

The Amount slider deals with temporary marks. Spots, breakouts, the things that would have cleared up on their own in a fortnight anyway.

At 100 it removes every temporary mark it can find. As you bring it down, the smaller and subtler marks come back first while the more prominent ones stay hidden. Sitting somewhere in the middle is usually where you want to be, because it clears the angry breakout without stripping the skin of its normal texture and leaving you with that plastic look nobody wants.

Fade, and the default I'd change every time

The Fade slider handles permanent features. Moles, beauty spots, freckles. The things that are part of someone's face rather than something that turned up last Tuesday.

Adobe has set the default for Fade at 50.

I've got a real problem with that. At 50, Camera Raw is fading a client's natural moles and beauty spots halfway out before you've touched a single control. Nobody asked it to. You open the file, and a piece of software has quietly made a decision about somebody's face on your behalf.

So the habit I'd get into is this. Every time you open a portrait, drag Fade down to 0 before you do anything else. Look at the face as it actually is, then decide. If the client has asked you to soften a mole, fine, soften it. But make that an intentional choice you've made, not a default you didn't notice.

Refine, for the bits it gets wrong

Clicking Refine gives you a brush with two modes.

Restore brings back something the tool has taken out that you wanted to keep, a character mark or a scar it's decided to tidy away. Remove clears anything the automatic pass has missed.

Between those two you can get any face exactly where you want it in under a minute.

If you're working on a group shot you can pick individual faces, or select All People and do the lot in one go. I'd be careful with All People, though. The same Amount and Fade settings applied to a teenager and a grandparent rarely work for both, and you'll usually be better off going face by face.

Texture is only half the job

Here's the bit that gets missed, and it's the difference between a retouch that looks finished and one that doesn't quite.

There are two separate problems on a spot. There's texture, which is the raised physical bump on the skin, and there's tone, which is the red patch sitting underneath and around it.

The Blemishes tool is excellent on texture. It does nothing at all about tone.

Think of it like makeup. The Blemishes tool is the concealer, covering the bump. You still need a base to even out the colour underneath. Skip that step and you're left with red blotches on otherwise clean skin, and those often pull the eye harder than the original breakout did, because now there's nothing else there to explain them.

Fixing the tone with Point Color

The temptation is to build a skin selection and shift the colour globally, but that moves the whole face just to fix a few patches. A localised brush is much better behaved.

1. grab a standard masking brush with a soft, feathered edge and paint over only the red, blotchy areas

2. inside the brush mask settings, open Point Color

3. take the eyedropper and click on an area of clean, healthy skin nearby, which tells Camera Raw what colour that red patch is supposed to be

4. widen the Variance slider

That last one is where it happens. Expanding Variance pulls the surrounding red tones smoothly towards your clean sample, so the patchwork evens out without anything else on the face moving.

So, next time you open a portrait

Run Blemishes, pull Fade to 0 and decide for yourself what stays, then set Amount somewhere sensible rather than pinning it at 100.

Then brush the red areas and use Point Color to bring the tone back in line.

The whole thing takes a couple of minutes inside one dialogue box. No healing layers, no frequency separation, no round trip into Photoshop and back. For anyone who's put off retouching because it always felt like a job that needed a stack of layers and half an hour, this is a lovely way in.

Instantly Fix "Impossible" Glasses Reflections in Photoshop

Removing reflections from glasses has always been one of those jobs in Photoshop that's either felt impossible or just painfully tedious. In this tutorial, I'm showing you how the new Firefly Image Model 5 in the Photoshop Beta handles this specific problem in a way that I think you're going to find really useful.

I'm working with a portrait of Thomas Coulter, one of the veterans from my 39-45 Portraits Project, to walk you through exactly how it works.

The Challenge with Older Models

If you've tried using Generative Fill for this before, you'll know that older models like Firefly Image 1 could certainly remove a reflection, but they often introduced other problems at the same time. You'd sometimes end up with subtle changes to facial structure, eyebrows, or the shape of the glasses frames themselves. The reflection might be gone, but the portrait no longer looked quite right.

Why Firefly Image Model 5 is Worth Knowing About

Model 5 has been built with detail preservation as a priority. The idea is that it only changes what you've asked it to change, leaving everything else as close to the original as possible.

Worth knowing: this is a premium model, so it uses 10 generative credits rather than one. It also only produces a single variation, but given the quality of the result, that's rarely a problem.

How to Do It, Step by Step

1. Open Photoshop Beta - You'll need the Beta version to access the latest Firefly models. [00:56]

2. Make your selection - Use the Selection Brush Tool to paint over the reflections on the lenses. You don't need to be overly precise; going slightly over the frames is fine. [01:25]

3. Open Generative Fill - Click Generative Fill in the Contextual Taskbar. If you can't see it, go to Window > Contextual Taskbar. [01:49]

4. Choose the right model - This is the key step. In the Taskbar settings, look under Adobe Models and select Firefly Image Model 5 (Preview). [06:16]

5. Enter your prompt - Something simple like "remove the reflection from the glasses" is all you need. [05:32]

6. Generate - Hit Generate and give it around 10 to 12 seconds. [06:21]

The Results

What I find genuinely impressive here is that once the reflection is gone, everything else stays exactly as it was. The eyebrow hairs, the skin texture, the precise shape of the frames - all identical to the original file.

Now, Camera Raw and Lightroom do have reflection removal tools built in, and they're well worth trying, particularly on larger reflections. But for detailed areas like eyewear, where precision really matters, this approach in Photoshop gives you a level of control and accuracy that's hard to beat. If you've got portraits sitting in your archive that you've written off as too difficult, this is a good reason to dig them back out.

NEW 💥 Photoshop's One-Click Auto Distraction Removal

Adobe has just dropped a seriously powerful update to the Remove Tool in the Photoshop Public Beta (version 27.6.0), and it’s a total game-changer for cleaning up your photos. It can now automatically scan your entire image, identify distractions across 26 different categories, and let you remove them with a single click.

Here is a quick look at how it works and how you can start using it to save yourself hours of manual cloning and healing.

What is the New "General Distractions" Feature?

Previously, the Remove Tool had specific buttons for "Wires and Cables" or "People." This new update introduces General Distractions. It uses generative AI to find things like trash cans, signs, vehicles, and even stray animals that might be cluttering up your shot.

How to Use It: A 3-Step Tutorial

Before you start, make sure you have GPU hardware acceleration turned on in your Photoshop settings (Preferences > Performance) to ensure the tool runs smoothly.

1. Select the Remove Tool

Head over to your toolbar and select the Remove Tool. In the options bar at the top, make sure Sample All Layers is ticked and, most importantly, check the Create New Layer box. This acts as a fail-safe, putting all your removals on a separate layer so you can easily bring things back if you change your mind later.

2. Find Your Distractions

In the options bar, click on the Find Distractions dropdown and choose General Distractions, then click Find. Photoshop will take a few moments to scan the image. When it’s finished, it will highlight potential distractions with color-coded overlays.

The cool part? The list of categories it shows you is dynamic. It won't show you all 26 categories; it only lists the ones it actually found in your specific photo—like "Vehicles," "Animals," or "Urban Elements."

3. Refine and Remove

You have total control over what stays and what goes:

• Toggle Categories: You can untick specific categories in the dropdown if Photoshop picked up something you actually want to keep (like a cool cloud it mistook for a "light diffusing element").

• Manual Overwrite: Use the plus (+) or minus (-) brush icons in the options bar to manually add areas to be removed or protect areas you want to save.

• The Big Reveal: Once you're happy with the selection, click the Tick icon. Photoshop will work its magic, and the distractions will vanish, seamlessly filling in the background.

Why This Matters

I've been testing this on complex street scenes and busy beach shots, and the results are mind-blowing. It handles everything from removing pigeons at someone's feet to rebuilding stone walls where a trash can used to be. It’s not just a time-saver; it’s doing work that used to require advanced cloning skills in just a few seconds.

Since this is currently in the Public Beta, if you run into anything unexpected, be sure to use the "Feedback" icon in the top right of Photoshop to let Adobe know. The more feedback we give them now, the better the final version will be.

My Upgraded Realistic Photoshop Lighting Effect + Dust

This is one of those techniques I absolutely love. Adding a lighting effect to a portrait can completely change the mood of an image, and it really doesn't take long once you know the steps. What I want to share here is an upgraded version of what I used to call the "world's simplest lighting effect," but this time with realistic floating dust and a bit of atmospheric depth thrown in.

The Secret to Realism: Highlights

Before you even open Photoshop, there's one thing you really need to look for in your original photo, and that's existing highlights. For a lighting effect to look convincing, your subject needs to already have highlights on the side where you're going to place the light source. If you're adding light coming down from the top left, for example, there need to be highlights there already. Without them, the effect just never looks right no matter how much you tweak it.

Step 1: Creating the Light Source

A common mistake I see is people grabbing a massive brush and clicking once. The trouble is that with a huge soft brush, the feathered edges often get clipped by the edge of the canvas, leaving a harsh, ugly line.

Here's a better approach. Create a new blank layer, then select a standard round soft brush from the toolbar with the hardness set to 0%. Set your foreground colour to white and click once in the middle of your image with a relatively small brush. Now go to Edit > Free Transform (Cmd/Ctrl + T), hold down Shift and Option on Mac or Alt on Windows, and drag a corner handle to scale that brush stroke up proportionally until it's nice and large. Then grab the Move tool and reposition the light into the corner so that only the soft, feathered edge spills into the frame.

Step 2: Adding the Atmospheric Dust

This is where you take the effect to the next level. Those tiny bits of dust and debris that become visible when caught in a beam of light make all the difference. I tend to use a texture that looks a bit like a photograph of rain at night, shot looking upwards and slightly out of focus.

To apply a dust overlay, place the image over your work and use Free Transform to scale it so it fills the whole image. If the layer is a Smart Object, right click it and choose Rasterize Layer. Then go to Image > Adjustments > Desaturate so the dust doesn't introduce any unwanted colour. Change the Blend Mode to Screen, which knocks out the black background and leaves only the bright dust particles. Finally, add a Layer Mask to the dust layer. Grab a soft brush with a black foreground colour and paint away the dust where you don't want it. Keep it concentrated near the light source and off the main parts of your subject.

Step 3: Adding Movement

Static dust can look a bit "stuck on," so adding a touch of motion blur makes a huge difference. Go to Filter > Blur > Motion Blur and adjust the angle so the blur follows the direction of the light beam, usually from top left down to bottom right. Keep the distance quite small. You just want a subtle sense of movement, as if the particles are caught in a gentle drift.

How to Create Your Own Dust Textures

If you haven't got a dust overlay to hand, you can actually use AI to generate one. Using a tool like Adobe Firefly or Google Gemini, try a prompt along the lines of "dark atmospheric bokeh background with falling rain or snow particles." I find that asking for a 4x3 aspect ratio works well for most portraits.

I hope you find this upgraded technique useful for your own retouching. It's a quick way to add a lot of drama and production value to your images without needing any kind of complex setup.

Content Credentials: The Future of Proving Your Photos Are Real ✅

In a world where AI can generate a photorealistic image in seconds, how do you prove that your photograph is actually real? That it was captured by a real camera, in a real place, by a real photographer?

That is exactly the problem Content Credentials are designed to solve, and in 2026 this technology is finally moving from niche experiment to something every working photographer needs to understand.

What Are Content Credentials?

Think of Content Credentials as a kind of nutrition label for your photographs. Just as a food label tells you what is inside the packet, Content Credentials can tell viewers key facts about an image: who created it, which camera or software was used, what kind of edits were made, and, crucially, whether AI tools were involved at any stage.

Under the hood, Content Credentials are powered by an open technical standard called C2PA, which stands for Coalition for Content Provenance and Authenticity. C2PA is a cross-industry specification backed by companies and organisations including Adobe, Microsoft, Google, Sony, Nikon, Canon, Leica, Fujifilm, the BBC, the Associated Press and many others.

The key point is that Content Credentials do not judge whether a photo is "good" or "bad". They provide a tamper-evident record of provenance, meaning a factual history of where an image came from and how it was made, so that editors, clients and audiences can make their own decisions about whether to trust what they are seeing.

How Do Content Credentials Actually Work?

At a technical level, C2PA uses cryptographic hashes and digital signatures, the same kind of technology that protects online banking, to bind provenance information to media files. In practice, the chain looks like this:

1. Capture. On supported cameras, a C2PA manifest is signed at the moment of capture, recording the device identity and, where enabled, when and where the image was created.

2. Edit. When the photo is opened in C2PA-enabled software such as Photoshop or Lightroom, the software can log key edits, including the use of generative AI tools, into an updated manifest.

3. Export and publish. On export, the photographer chooses what information to include. The Content Credentials can be embedded in the file itself, published to a cloud service, or both.

4. Verify. Anyone can later inspect the credentials using tools such as the Content Authenticity Initiative's Inspect site at contentcredentials.org/verify, browser extensions, or compatible apps and services.

If someone tampers with the pixels or tries to alter the signed provenance after the fact, the cryptographic checks break. The result is that the credentials are tamper-evident: you cannot quietly change the file or its signed history without that being detectable.

Which Cameras Support Content Credentials in 2026?

Camera support has accelerated over the last two years. A useful snapshot comes from the community-maintained c2pa.camera site, which tracks devices that can sign images using the C2PA standard.

As of early 2026, supported cameras include:

One particularly important entry is the Google Pixel 10. Thanks to its Tensor G5 and Titan M2 security chips and built-in C2PA support in the Google Camera app, it is currently the least expensive way to capture C2PA-signed images. That matters because not every working photographer or journalist will be carrying a flagship mirrorless body at the moment something newsworthy happens.

On the mirrorless side, Fujifilm has committed to rolling Content Authenticity support out across its X and GFX cameras, starting with models like the X-T50 and GFX100S II, with further firmware support planned but not yet fully detailed.

Content Credentials in Lightroom and Photoshop

The good news is you do not need a C2PA-enabled camera to start using Content Credentials. Adobe has built support directly into Lightroom Classic, Lightroom Desktop and Photoshop, using C2PA under the hood.

Lightroom Classic

In Lightroom Classic, Content Credentials are applied at export time.

Open the Export dialogue and scroll to the Content Credentials section, then enable Apply Content Credentials. You will need to choose how the credentials are stored: you can publish to Content Credentials Cloud, attach them to files by embedding them in the JPEG, or do both at once, which is the recommended option for most photographers. You can also decide what information to include, such as your name from your Adobe account, any connected social accounts, and a log of the editing steps recorded by Lightroom.

A few practical limitations are worth knowing about in 2026. Lightroom Classic only applies Content Credentials on JPEG export, not on TIFF, PSD or RAW files. An active internet connection is also required for the feature to work, even if you are simply attaching credentials to files rather than publishing to the cloud.

Lightroom Classic

Content Credentials are set in the Preferences and Export section …

Photoshop

Photoshop takes a slightly different approach because it can record provenance while you edit. Go to Settings or Preferences, then History and Content Credentials, and enable Content Credentials for saved documents. For each document you can turn credentials on or off individually, so not every file has to be recorded. When you export, Photoshop can embed a detailed edit history into the Content Credentials, including the use of Generative Fill, Generative Expand and other AI-powered tools.

The system records a summarised, provenance-oriented history rather than every brush stroke, but enough to show that AI tools were used and how the file evolved over time.

Keeping the Chain Intact Between Lightroom and Photoshop

If your workflow moves between Lightroom Classic and Photoshop, it is worth thinking about the provenance chain. A robust approach is to export from Lightroom with Content Credentials turned on, then open that exported file in Photoshop with Content Credentials enabled for the document. Export again from Photoshop with Content Credentials, and if you want the final file back in your Lightroom catalogue, import the Photoshop export so that Lightroom sees the credentialled version.

Is it perfectly seamless? Not yet. But this approach ensures that each major step in your workflow adds to the same signed chain instead of breaking it.

Why Content Credentials Matter in 2026

Several developments make Content Credentials especially relevant right now.

Photo Mechanic and Press Workflows

In February 2026, Camera Bits confirmed that Photo Mechanic is gaining support for the C2PA standard. For decades, Photo Mechanic has been the first stop in press photographers' workflows, used for ingest, culling and metadata. Camera Bits' goal is to preserve C2PA signatures from C2PA-enabled cameras all the way through to publication, so editors can trust that a signed image really traces back to a specific moment and camera.

Camera Bits has been clear that this feature is still in active development with no public release timeline yet, but for photojournalism this is a significant shift.

Competitions and Clubs

The Canadian Association of Photographic Art has adopted a Content Credential model for its competitions to address AI-generated imagery. Their current stance, through at least 2027, is that the model is optional and educational rather than mandatory, but potential winning entries already undergo verification that includes Content Credentials analysis, AI detection and forensic checks. Images that fail those verification steps can be disqualified, which is a strong signal of where competition rules are heading.

Platforms and the Broader Ecosystem

On the platform side, there has been real movement. LinkedIn now displays a CR icon for images carrying Content Credentials, which users can click to see the provenance summary. Google has brought C2PA-based Trusted Images to Android and Pixel, using Content Credentials and SynthID to distinguish originals and AI-generated content. Cloudflare Images and other services now preserve Content Credentials through transformations, so the provenance remains intact when images are resized or optimised for delivery.

The Content Authenticity Initiative itself has grown into a global community of more than 6,000 members by the end of 2025, spanning media, tech, education and government. This is no longer a small experiment.

The Honest Challenges (As of 2026)

That said, Content Credentials are not magic, and the current limitations are worth being transparent about.

Social Platforms Still Strip Metadata

Many social platforms still strip embedded metadata from uploads, which removes embedded C2PA manifests along with traditional EXIF and IPTC data. Tests have shown that platforms like Facebook remove Content Credentials on upload, which is one reason Adobe allows you to publish credentials to a cloud service as well, so you can still verify an image via the cloud record even if the embedded data is lost.

The Chicken-and-Egg Problem

Camera makers want platforms and tools to support provenance before they invest heavily. Platforms want a critical mass of signed content. Newsrooms want both to be stable before they change their workflows. PetaPixel's coverage of the Digimarc C2PA Chrome extension in 2025 summed up the situation bluntly: at that point, basically no photos published online were carrying C2PA metadata. That is slowly improving in 2026, but it remains an adoption loop rather than a solved problem.

The Perception Problem

At CES 2026, several analyses highlighted that many visitors misunderstood the Content Credentials icon, assuming it marked AI-generated content rather than authentic content with a provenance record. Without better public education, there is a real risk that authenticity labels are misread as AI labels, which is the exact opposite of the intended outcome.

Inconsistent Implementations

Some early implementations have also bent the semantics in unhelpful ways. Critics have pointed out that certain smartphone workflows only add C2PA manifests to images that have been processed with AI features, not to ordinary captures. That reverses the intent entirely: the real images are the ones that most need a verifiable credential.

Privacy and Identity

Finally, there is the privacy angle. C2PA and Adobe both make identity assertions optional and opt-in, so you choose whether to embed your name, social accounts or edit history. That flexibility is valuable, but it also means you should think carefully about what you are comfortable attaching to every exported file. For some photographers, including personal account details on every share will feel like a useful feature; for others, it may feel like over-exposure.

Should You Start Using Content Credentials?

For most photographers who share work online, the pragmatic answer in 2026 is yes, it is worth turning on now, even with the current rough edges.

There is no extra cost, as Content Credentials in Lightroom and Photoshop are included in your existing Adobe subscription and do not consume generative credits. They are non-destructive, meaning enabling them does not alter your image content or require a different editing approach. It simply adds metadata, and optionally a cloud record, at export.

Starting now also means you build good habits early. As more contests, clients and platforms start expecting provenance, having a back catalogue of signed images will be an advantage rather than something you are scrambling to retrofit. Organisations like the Canadian Association of Photographic Art explicitly highlight that embedded creator information and timestamps help strengthen copyright and attribution claims as part of a wider evidence chain. And the export settings give you control over privacy, so you can choose to share just a minimal provenance chain or a more detailed record including identity and edit history.

For photojournalists and press photographers, this is already moving from a nice-to-have to something expected. For commercial and fine-art photographers, it is a professional differentiator that signals authenticity and transparency at a time when clients are increasingly wary of AI fakery.

How to Check if an Image Has Content Credentials

If you want to verify an image, whether your own or someone else's, there are several options available. You can upload a file at contentcredentials.org/verify to see its provenance, including capture and edit history where available.

Adobe and its partners also provide browser extensions that detect and surface Content Credentials as you browse the web. On LinkedIn, look for the CR icon on images; clicking it shows the stored provenance for that image. Nikon users, editors and agencies can use the Nikon Authenticity Service to validate C2PA-signed images from supported cameras. And Leica's FOTOS app can read and display authenticity information for images from the M11-P, SL3-S and related cameras.

Where This Is Heading

The direction of travel is clear. The C2PA Conformance Programme and the CAI's growing membership are pushing the ecosystem towards more consistent implementations across cameras, software and platforms. Open-source tooling is making it easier for smaller developers to add support. And regulatory and industry pressure around AI transparency, especially in news and political advertising, is giving content authenticity a real tailwind.

As Camera Bits put it when discussing Photo Mechanic's planned support, the goal is not to replace trust in photographers, but to provide an additional layer of confidence in an environment where synthetic media is increasingly common.

For working photographers, the message in 2026 is straightforward. The tools are here, they are free to switch on, and they are only going to become more important. Enabling Content Credentials today is one of the simplest practical steps you can take to protect your work and to prove that it is genuinely yours.

Reality vs Photoshop - Is Faking It Cheating? 🤷‍♂️

Car photography always looks that little bit more dramatic when there's a wet road reflection underneath the vehicle. But what do you do when the road is bone dry? In this guide, I'll walk you through two ways to fake a puddle reflection in Photoshop -- one traditional, one powered by AI -- and then I'll leave you with a question worth thinking about.

Method One: The Manual Approach

Step 1: Select the Car

Start by grabbing the Object Selection tool from the toolbar. In the options bar at the top of the screen, make sure the mode is set to Cloud for the best possible result, then click Select Subject. Photoshop will do a surprisingly good job of selecting the car in just a moment or two.

Step 2: Copy the Car onto Its Own Layer

With your selection active, press Command + J (Mac) or Control + J (Windows) to copy the car up onto a new layer. If you toggle every other layer off, you should see just the isolated car sitting cleanly on a transparent background.

Step 3: Flip It Upside Down

Go to Edit > Transform > Flip Vertical. This flips the car layer to create the basis of your reflection. Now grab the Move tool, hold down Shift (to keep movement perfectly vertical) and drag the flipped car downwards until the tyres of both the original and the reflection are just touching.

If things look slightly off-angle, go to Edit > Free Transform, move your cursor just outside the bounding box until you see the rotation cursor, and give it a gentle nudge until it lines up properly.

Step 4: Add a Black Layer Mask

Rename this layer "Reflection" to keep things tidy. Then, holding down Option (Mac) or Alt (Windows), click the Layer Mask icon at the bottom of the Layers panel. This adds a black mask that hides the layer entirely -- which is exactly what you want for now.

Step 5: Draw the Puddle Shape

Select the Lasso tool and make sure you click directly on the layer mask thumbnail (you should see a white border appear around it, confirming it's active). Now draw a rough, freehand puddle shape beneath the car's tyres -- it doesn't need to be perfect, natural-looking and irregular is actually better here.

Step 6: Fill with White to Reveal the Reflection

Go to Edit > Fill, set the contents to White, and click OK. The reflection will now appear only within the puddle shape you drew.

Step 7: Soften the Edges

Zoom in and you'll notice the puddle edge looks very sharp and unnatural. To fix that, go to Filter > Blur > Gaussian Blur and apply just a small amount -- around 3 pixels is usually enough. This softens the boundary and helps the reflection blend into the ground convincingly.

Finally, you can reduce the opacity of the Reflection layer slightly to make the whole thing look a little more subtle and true to life.

Method Two: Using Adobe Firefly's Generative Fill

If you want a quicker and arguably more realistic result, Photoshop's AI tools can do a remarkable job here.

Step 1: Load the Puddle Selection

Hold Command (Mac) or Control (Windows) and click directly on the layer mask from your first reflection layer. This loads the puddle shape back as an active selection, saving you from having to draw it again.

Step 2: Select the Background Layer

Click on the main image layer, so that Generative Fill works on the background rather than the reflection layer.

Step 3: Run Generative Fill

In the contextual taskbar, click Generative Fill and type a prompt along the lines of: a reflection of car in puddle of water. For the AI model, select Firefly (specifically the Firefly Built and Expand model released in January 2026). If you're on a Creative Cloud Pro account, this won't cost you any credits -- whereas models like Flux or Nano Banana can use anywhere between 20 and 30 credits per generation.

Click Generate.

Step 4: Choose Your Favourite Variation

Firefly will produce three variations for you to compare. Have a look through them and pick the one that looks most convincing. You'll likely notice that the AI does something quite clever: it reflects the sky in the puddle on the far side of the car, just as real water would. Achieving that manually in Photoshop would take considerably more time and effort.

Which Method Should You Use?

For a quick, dirty result, the manual method works well and gives you full control. But for something that genuinely looks like a photograph taken on a wet road, the AI approach is hard to argue with -- particularly because of how naturally it handles the environmental reflections in the water.

A Question Worth Thinking About

Here's something to consider. When photographing that car, there were really two options: bring bottles of water to pour around the car and create a real puddle on the dry road, or add the reflection later in post-production, either manually or with AI.

Both approaches result in a reflection that wasn't originally there. The only difference is when in the process you add it.

So what do you think -- is there a meaningful ethical difference between physically creating something on location and digitally adding it afterwards? When it comes to reflections specifically, does it matter?

Let me know your thoughts in the comments below.

How Many Generative Fill Credits do you have left? 🤷‍♂️

When I publish a new video on my YouTube Channel, one of the comments I often see is ...

"We should be able to see how many credits we have left when we use the AI in Photoshop"

So, this week I've recorded a short video showing exactly how you can ✅

Hope it's useful
Cheers
Glyn

✅ Photoshop JANUARY 2026 - Everything NEW 💥

Adobe dropped Photoshop 27.3.0 on the 27th January, and for once it's not just AI hype and features nobody asked for. This update brings some genuinely useful stuff that photographers and editors have been requesting for years.

Camera Raw tools finally join the party

The headline features are 2 (actually 3) new Adjustment Layers: Clarity & Dehaze and Grain.

If you've ever wanted to use Clarity or Dehaze without opening Camera Raw or converting to a Smart Object, your prayers have been answered. They now work exactly like Curves, Levels or any other adjustment layer. You can mask them, adjust opacity, change blend modes, and they stay fully editable in your PSD.

Clarity is brilliant for adding punch to textures and details in your midtones without blowing out highlights or crushing shadows. Dehaze cuts through atmospheric haze (or adds it if you reverse the slider), and having it as an adjustment layer means you can apply it selectively with a mask.

Grain gets the same treatment. Want to add film-style texture to knock the digital edge off a super-clean file? Chuck a Grain adjustment layer on top, dial it in, and you're done. It's particularly good for black and white work or vintage treatments.

The AI tools are growing up

On the generative side, things have improved quite a bit.​

Generative Fill and Generative Expand now output at up to 2K resolution, which means extended canvases and filled areas look far less mushy and hold detail much better. Adobe has also added model selection, so you can pick the Firefly version that best suits what you're doing.

The real game-changer is Reference Image support in Generative Fill. You can now feed Photoshop a reference photo and it'll try to match the lighting, colour and structure when generating new content. This is massive for compositing work or keeping a series of images consistent.

The Remove tool has also been quietly upgraded. It does a much cleaner job removing objects and people, with fewer obvious smears and repetitive patterns. In most cases you'll get a usable result without needing to follow up with Clone Stamp or Healing Brush.​

Why this one matters

This isn't a flashy update, but it's the kind that actually changes how you work.

Having Clarity, Dehaze and Grain as proper adjustment layers keeps everything inside Photoshop's layer stack where it belongs. No more jumping between Camera Raw, no more Smart Objects eating up file size, no more destructive edits.

The AI improvements make the generative tools feel less like tech demos and more like something you'd actually use in client work. Higher resolution output and better reference matching mean you can rely on them for real projects, not just Instagram experiments.

If you're on Creative Cloud, the update should already be available. The new adjustment layers live in the standard Adjustments panel alongside everything else. Well worth checking out, especially if you shoot landscapes, architecture or do any kind of composite work.​