Our research into exactly.ai started with a simple question: how many AI image tools actually solve the brand consistency problem, versus just talking about it? We pulled vendor docs, dug through what limited public review data exists, and cross-referenced their pricing page with forum discussion. This exactly.ai review is the result. The short answer is that exactly.ai is doing something real here. The longer answer has a few catches.
What is exactly.ai?
Founded in 2022 and based in London, exactly.ai is an AI image and video generation platform built around one core idea: your brand's visual style should travel with every asset you generate. Most tools hand you a prompt box and wish you luck. Exactly.ai trains a private AI model on your own images first, then uses that model as the style foundation for everything that comes out.
That's genuinely different. The generated files stay in your private slot and are never fed back into a shared training pool. Commercial rights are perpetual and cover both print and digital use, including resale. For brand teams that have spent time getting burned by unlicensed outputs from other tools, that licensing clarity alone is worth something.
The platform runs on a mix of underlying models. Flux.1 Kontext and Gemini 2.5 handle image reference work. Veo 3 and KlingAI 2.1 power the video side. Exactly.ai's own proprietary style transfer layer sits on top of all of it.
exactly.ai Image Quality: How Good Are the Results?
Honestly, output quality is where the product earns most of its credibility. The image resolution ceiling is real: exports go up to 4K natively, and the upscaling path pushes to 8K. That's not marketing fluff. The underlying models they've chosen are solid. Flux.1 Kontext is a strong base for reference-faithful generation, and the style transfer layer genuinely keeps trained outputs looking coherent across variations.
What we kept seeing in user reports is that the style training step is the make-or-break moment. Feed it strong, consistent source images and the outputs hold together. Feed it a messy mix and the model reflects that mess back at you. That's not a flaw exactly, it's just how fine-tuning works. But it does mean there's some front-end investment before you see quality results.
Video quality is harder to assess from the outside. Veo 3 is Google's flagship video model, and the inclusion of Seedance 1.0 Pro alongside KlingAI 2.1 gives the platform real options for different motion styles. We're cautiously optimistic there, though video generation across the whole industry is still inconsistent enough that we'd want to test it hands-on before saying more.
exactly.ai Features: Text-to-Image, Video & Editing Tools
The feature list is deep. Maybe surprisingly deep for a tool that isn't yet a household name.
The editing side covers inpainting through what they call Instruct mode. You select a region, describe the change, and it regenerates that area while keeping the rest of the composition intact. Image-to-image reference editing works across Flux.1 Kontext and a few other models. You can also combine multiple reference images into a single prompt, which is useful when you're trying to pin a character or a product to a specific look.
The Character Pin and Product Pin features are worth flagging for brand teams specifically. They're designed to lock specific visual elements across a batch of generated images. That's the kind of workflow feature that generic tools like Midjourney don't have, because they're not built for brand consistency in the first place.
On the video side: one-click keyframe animation for static images, a timeline interface for more detailed control, and style transfer that carries your trained model into video generation. Batch generation for image variations is available too. No outpainting, no background removal that we could confirm, and negative prompt support isn't publicly documented. Those are gaps.
The REST API covers style transfer, image generation, video generation, model training, and upscaling. No Figma plugin, no Photoshop plugin. For design teams embedded in those tools, that's going to be friction.
Is exactly.ai Easy to Use?
The interface got a redesign in March 2025, though the underlying concept still has a learning curve. The style training step is the biggest one. You need to understand what makes a good training set before you get useful results. That's not intuitive for non-technical users.
We don't buy the idea that this is a tool anyone can pick up in an afternoon. It's built for people who already have a design opinion. Brand managers, creative directors, people who know what their visual identity actually is. Someone handing off social media content won't find this obvious.
The first style training is free, which at least lets you test the core workflow before committing money. That's smart product design. Whether the onboarding materials are enough to get you there is a different question. The help center is described as basic, and there's no community forum to fall back on.
exactly.ai Pricing: Free Plan vs Paid — Is It Worth It?
There's a free plan. It watermarks outputs, which is standard. The first style model training is free too, which is a more unusual offer.
The paid tier starts at £63.75 per license per month for up to 50 licensed downloads. That's not cheap. Enterprise is custom pricing, no numbers publicly visible.
We dug through the pricing page and found no refund policy stated anywhere. That's a problem. For a tool at this price point, asking teams to commit without a stated refund option is a friction point that will turn some buyers away. £63.75/month for 50 downloads works out to roughly £1.28 per licensed file, which sounds manageable until your campaign needs 200 assets in a month.
The value calculation really depends on how much you're paying for bespoke illustration or photography right now. For studios replacing stock shots, the math could work. For teams with lighter output needs, harder to justify.
exactly.ai vs Midjourney: Which AI Image Generator Wins?
Midjourney is the obvious comparison. It's what most people reach for when they want high-quality AI images. But it's not really the same tool.
Midjourney is built for aesthetic output. It's great at producing beautiful, imaginative images from open-ended prompts. It has no brand training, no commercial licensing clarity at scale, and no concept of keeping your visual identity consistent across a project. Every image is essentially a fresh start.
Exactly.ai is the opposite bet. Less expressive freedom, more control over what comes out. If brand consistency and commercial licensing are the actual requirements, exactly.ai wins that comparison easily. If you want to explore and experiment, Midjourney is still the better fit.
For teams that need something between those two, Krea is worth a look. It offers style controls and a broader creative toolkit without requiring the same upfront investment in model training.
Who Should Use exactly.ai? (And Who Shouldn't)
Brand teams at mid-size companies. That's the clearest fit. People who are generating enough visual content that inconsistency is an actual cost, and who have a defined visual identity worth training a model on.
Creative studios doing client work at volume. The commercial licensing structure and private model hosting are genuinely useful for agencies managing multiple brand identities.
Solo creators or people with casual image generation needs. This isn't that tool. The price and the setup effort both point elsewhere.
Teams deeply embedded in Adobe's workflow should also look hard at Adobe Firefly before committing here. No Photoshop integration from exactly.ai means you're working across two separate environments.
exactly.ai Review Verdict
Exactly.ai is doing something specific and doing it reasonably well. The brand model training is the real product. Everything else, the video generation and the inpainting and the batch outputs, those are useful additions around a central idea that actually holds up.
The weak spots are real. Support documentation is thin. Pricing transparency around refunds is absent. The missing Figma and Photoshop integrations will matter to a lot of design teams. And the review trail is almost nonexistent publicly, which means buyers are largely taking the vendor's word for things we'd normally cross-reference against user reports.
For brand teams that need commercially licensed, on-brand outputs at scale, there isn't a cleaner purpose-built option at this price range. For everyone else, the overhead probably isn't worth it yet. We'd want to see better documentation, a stated refund policy, and at least one major design tool integration before pushing this harder.
Frequently Asked Questions
Does exactly.ai offer a free plan?
Yes. There's a free tier that watermarks generated images. The first custom style model training is also free, which lets you test the core brand training workflow before spending anything. Watermarks are removed when you purchase a licensed download.
Who owns the images generated on exactly.ai?
Based on their documentation, generated assets come with a perpetual commercial license covering online and print use, including physical or digital resale. Your trained style model sits in a private slot and isn't shared with other users or fed back into training data. That's a meaningful guarantee for commercial work, though we'd recommend reading the full terms before relying on it for high-stakes projects.
Is exactly.ai suitable for video generation?
It supports text-to-video generation and can apply your trained brand style to video outputs. The underlying models it pulls from, Veo 3 and KlingAI 2.1, are credible options in the current market. Whether the style transfer translates as cleanly to video as it does to images is something we'd want to test directly. The feature exists and is actively promoted, but video generation is still an area where most tools are working out the kinks.
