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Head-to-head · AI Photo Enhancer Software

Topaz Photo vs LetsEnhance

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Topaz Photo #3 in AI Photo Enhancer Software 9.0/10 Paid ✓ 0 of 4 features Visit Topaz Photo

Topaz Photo leads on 0 checks, LetsEnhance on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreTopaz Photo · 9.0/10
  • Most featuresLetsEnhance · 3 of 4

Topaz Photo scores higher on our rubric for ai photo enhancer software: 9.0 against 8.9 out of 10; our editors rank them #3 and #4.

Topaz Photo is the better fit for professional desktop photographers. LetsEnhance is the better fit for high-resolution web and API workflows.

  • Topaz Photo fits best

    Professional desktop photographers

  • LetsEnhance fits best

    High-resolution web and API workflows

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Side by side

Feature Topaz Photo 9.0/10 Visit ↗ LetsEnhance 8.9/10 Visit ↗
At a glance
Editor score 9.0 8.9
Ranking #3 in AI Photo Enhancer Software #4 in AI Photo Enhancer Software
Best for Professional desktop photographers High-resolution web and API workflows
Pricing model Paid Free plan + paid
Starting price $199/yr $9/mo
Free plan — Not checked yet
Free trial — —
Deployment Cloud, Desktop Cloud
Platforms Windows, macOS Web
Support Email, Docs Email, Live chat
Built for Solo, Small business, Mid-market Solo, Small business, Mid-market, Enterprise
Features Topaz Photo 0/4 · LetsEnhance 3/4
Batch processing Not checked yet ✓ (best)
Face enhancement Not checked yet ✓ (best)
Old photo restoration Not checked yet ✓ (best)
Desktop app Not checked yet Not checked yet
Specs
Enhancement modes Not checked yet All-in-one
Maximum output resolution Not checked yet 256 MP
Our review
Pros
  • Supports RAW and non-RAW images with AI denoising and sharpening
  • Includes masking, batch processing, object removal, and upscaling
  • Works with Photoshop, Lightroom Classic, Capture One, and more
  • Upscaling reaches 512 MP on the web platform
  • Batch processing handles up to 20 images at once
  • Includes face enhancement, restoration, background removal, and an API
Cons
  • No free plan or standalone trial
  • Subscription-only pricing may be costly for occasional users
  • Available only on Windows and macOS
  • Free outputs include a watermark
  • Starter plans cap output at 256 MP
  • Higher monthly credit allowances require higher-priced plans
Our verdict

Topaz Photo is a desktop photo-enhancement application for photographers who need more than basic sharpening or resizing. Available for Windows and macOS as a standalone app or plugin, it supports RAW and non-RAW images and combines AI…

Read the review →

Let's Enhance is a browser-based AI image enhancement service for photographers, creators, print sellers, ecommerce teams, and other users who need higher-quality images. Its tools cover detail recovery, sharpening, denoising, exposure and…

Read the review →
  1. Topaz PhotoAI Photo Enhancer Software 9.0Paid
  2. LetsEnhanceAI Photo Enhancer Software 8.9Free plan

Strengths and trade-offs

  • Topaz Photo — where it wins

    • Supports RAW and non-RAW images with AI denoising and sharpening
    • Includes masking, batch processing, object removal, and upscaling
    • Works with Photoshop, Lightroom Classic, Capture One, and more

    Where it doesn't

    • No free plan or standalone trial
    • Subscription-only pricing may be costly for occasional users
    • Available only on Windows and macOS
  • LetsEnhance — where it wins

    • Upscaling reaches 512 MP on the web platform
    • Batch processing handles up to 20 images at once
    • Includes face enhancement, restoration, background removal, and an API

    Where it doesn't

    • Free outputs include a watermark
    • Starter plans cap output at 256 MP
    • Higher monthly credit allowances require higher-priced plans

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update