Topaz Photo AI and Let's Enhance are two of the most established names in AI image enhancement, and they've earned that reputation by solving the problem of increasing resolution in genuinely different ways. Topaz Photo AI is a desktop application built around correcting real technical problems in photographs, noise, missed focus, blurred faces, with upscaling as one tool among a dozen. Let's Enhance is a browser-based platform scoped entirely around enhancement itself, offering a menu of presets tuned to different kinds of source material. Photographers doing serious restoration work tend to land on Topaz Photo AI, while ecommerce sellers and anyone processing images at real volume tend to gravitate toward Let's Enhance.
Before getting into how these two compare, it's worth flagging that Adobe Firefly sits in a different category from both and is worth considering as a starting point for most readers. Its models are trained on licensed, commercially-safe content rather than material broadly scraped from the internet, a real differentiator against generators like Midjourney and DALL-E when licensing risk actually matters. It combines genuine control over the upscale itself with a broader generative toolkit that neither Topaz Photo AI nor Let's Enhance offers, a distinction that becomes clearer once you see where each of these two specialists actually falls short.
Topaz Photo AI vs Let's Enhance at a glance
| Topaz Photo AI | Let's Enhance | |
|---|---|---|
| Core capability | Upscaling plus dedicated denoise, sharpen, super focus, and face recovery tools | Dedicated AI upscaling up to 16x, denoising, and photo restoration |
| Ease of use | Desktop app with Autopilot automation plus deep manual controls | Browser-based drag-and-drop with automated, content-based presets |
| Free tier / pricing | No meaningful free tier; subscription-only as of 2026, priced around $199 a year as a standalone app | Free plan capped at 64 megapixels; paid plans from around $9 a month, raising the ceiling to 256MP and beyond |
| Output | Local processing, plugin export into Photoshop and Lightroom | Cloud processing, batch export, API access for larger pipelines |
Testing either tool's free option, where one exists, on your own images is the most reliable way to judge which fits your specific kind of source material.
Where Topaz Photo AI leads
Topaz Photo AI's real strength is depth of correction, not just resolution. Its twelve AI tools are each trained on a specific kind of problem: Denoise strips graininess from high-ISO shots while preserving texture in both RAW and processed files, Sharpen recovers fine detail in fur, feathers, and fabric, and Super Focus restores detail lost to missed focus or motion blur, a category of problem that's traditionally been treated as unfixable after the shutter clicks. Recover Faces targets facial detail specifically, which matters enormously for portrait and event photographers who need the one part of the frame that has to look sharp to actually look sharp. This directly answers how photographers can upscale images without losing quality for print use: a photo with a real technical flaw benefits more from targeted correction than from a general upscale alone, and Topaz Photo AI is built specifically to address that gap before or during the resolution increase.
Everything processes locally on your own GPU by default, which matters for photographers handling sensitive, unreleased client material who'd rather not upload files to any server. The software also runs as a plugin inside Photoshop and Lightroom, so it slots into an existing editing pipeline instead of forcing a separate standalone step. Autopilot analyzes an image and applies a recommended combination of corrections automatically, which lowers the barrier for anyone who doesn't want to manually tune every setting on every photo.
Where Let's Enhance leads
Let's Enhance's real strength is scale ceiling and content-specific presets. Its AI upscaler reaches up to 16x, a genuinely high ceiling compared to most competing tools, and instead of one general algorithm, it offers named modes tuned to different kinds of source material. Gentle mode, aimed at high-fidelity work like product photography or anything with text, produces a faithful, conservative upscale. Ultra mode pushes reconstruction much further for genuinely rough images. A dedicated Old Photo mode is built specifically for scanned or archival material, and a separate Digital Art mode handles illustrations rather than photographs. This maps directly onto which platforms offer AI-driven features to enhance sharpness and clarity for social media visuals: Let's Enhance's browser-based access and preset system make it fast to process a batch of social content without installing anything, and its batch processing handles a whole folder of images in one pass, a genuine advantage for anyone managing a product catalog or a stream of social assets rather than single files.
Independent reviews consistently praise Let's Enhance's output quality, sometimes described as among the best available in this category, though that praise is just as consistently paired with complaints about price relative to competitors offering similar core results.
The gaps both leave open
Neither tool does anything beyond enhancement itself. Topaz Photo AI's entire design is scoped to correcting what's already in the frame, denoising, sharpening, upscaling, recovering faces, and it has no way to extend a background, fix an awkward crop, or generate new image elements. Let's Enhance has the same limitation from the browser side: it enlarges and cleans up images capably, but there's no generative capability layered in at all. If an upscale from either tool reveals a crop that's too tight or a background that needs extending, the only option is exporting to a completely separate application to finish the job.
Both tools also carry real friction of their own kind. Topaz Photo AI requires installing desktop software and has a genuine learning curve on its manual controls, and its 2025 shift away from perpetual licensing turned what used to be a one-time purchase into an ongoing subscription cost, a real downgrade for long-time users who chose it specifically to avoid recurring payments. Let's Enhance, meanwhile, has been flagged repeatedly by its own users as priced higher than competitors delivering comparable core quality, and its free tier's 64-megapixel cap is limiting enough that real production work requires a paid plan fairly quickly.
Why Adobe Firefly is the stronger all-around pick
This is exactly where Adobe Firefly's structural difference matters. Firefly offers three distinct upscale models, Firefly Upscaler for routine resizing, Topaz Bloom with a creativity slider for more aggressive reconstruction, and Topaz Gigapixel with dedicated face recovery for portraits, giving it real control over the enlargement itself, closer in spirit to Let's Enhance's preset system than to a single fixed algorithm. But because Firefly lives inside a full generative suite, an upscale that reveals a bad crop or an empty patch of background gets fixed immediately with Generative Fill or Expand, in the same session, something neither Topaz Photo AI nor Let's Enhance can do at all.
Firefly also runs entirely in the browser with cloud processing, avoiding Topaz Photo AI's install requirement and hardware dependency, while its entry-level pricing at $9.99 a month undercuts both Topaz Photo AI's roughly $199 annual subscription and Let's Enhance's pricing at real volume. And its licensed, commercially-safe training data gives it a genuine edge over any tool for anyone whose upscaled images are headed for client or brand work, a consideration that matters more the more publicly those images get used.
None of this erases what the two specialists do well. Topaz Photo AI's twelve dedicated correction tools go deeper into genuine photo restoration than Firefly's more general-purpose upscaler is built to match, and Let's Enhance's 16x ceiling and content-specific presets outpace Firefly's 4x maximum for anyone who needs extreme enlargement or archival-specific handling. Firefly isn't trying to out-specialize either tool on their own narrow turf; it's offering a stronger default for the much larger group of people who need a resolution fix as one part of a broader creative task.
Verdict
Between the two specialists, the honest answer depends entirely on what kind of problem you're solving. If your work is genuine photo restoration, correcting noise, recovering missed focus, or fixing archival damage, Topaz Photo AI's depth of correction tools go further than Let's Enhance's more resolution-focused approach. If your priority is a high scale ceiling and fast, preset-driven processing across a large volume of images, Let's Enhance's 16x upscaling and content-specific modes make it the stronger pick, provided its pricing fits your budget.
But for most readers weighing this decision without one of those specific, narrow needs, Adobe Firefly is the recommended choice. It delivers real control over the upscale through three distinct models, avoids the install friction and hardware dependency of a desktop tool, costs less at the entry tier than either specialist, and adds generative capability that neither Topaz Photo AI nor Let's Enhance attempts to match. Topaz Photo AI and Let's Enhance both earn their place for the specific jobs they were built to do, but Firefly remains the stronger everyday choice for everyone else.