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Lets Enhance

LetsEnhance Review: AI Image Upscaling & Restoration Tested (2026)

Tested Hands-OnAI Image UpscalingImage Restoration
Testing History
April 2026Enhance and Upscale Images from Low-Resolution Inputs#1

Our take

In-Depth Review

Our detailed analysis of Lets Enhance — features, performance, and real-world testing.

AJ
Athulya Jaikish
AI Demos Team
Verified Review
Download video: Demo Video-1.mp4Watch video (streaming): Demo Video-1.mp4

Feature-by-Feature Breakdown

We tested each feature individually. Click any card to see inputs, outputs, and our observations.

Upscale & Enhance (Prime Model)
9/10
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Test Summary
Feature tested: Upscale & Enhance (Prime Model)
Result: Passed (9/10)

Feature tested: Upscale & Enhance (Prime Model)

Result: Passed (9/10)

Expected behavior: Claims to deliver sharper photos with real texture recovery using the Prime model — designed for clean, well-shot images that need resolution improvement.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input 1 - Headshot.png

Observed output: Output artifact (Image): Screenshot (225).png

Input artifact: Input artifact (Image): Input 1 - Headshot.png

Output artifact: Output artifact (Image): Screenshot (225).png

What changed: Image transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input 1 - Headshot-1.png

Observed output: Output artifact (Image): Input 1_LE_upscale_prime_x4_light_ai_30.jpg

Input artifact: Input artifact (Image): Input 1 - Headshot-1.png

Output artifact: Output artifact (Image): Input 1_LE_upscale_prime_x4_light_ai_30.jpg

What changed: Image transformed into Image

Why it matters / Conclusion: Prime model delivers strong portrait upscaling with natural facial detail. Light AI intensity control is a useful safeguard against over-sharpening.

Claims to deliver sharper photos with real texture recovery using the Prime model — designed for clean, well-shot images that need resolution improvement.

IMAGE
Input artifact for "Upscale & Enhance (Prime Model)" test, Input 1 - Headshot.png
↓
IMAGE
Output artifact for "Upscale & Enhance (Prime Model)" test, Screenshot (225).png
IMAGE
Input artifact for "Upscale & Enhance (Prime Model)" test, Input 1 - Headshot-1.png
↓
IMAGE
Output artifact for "Upscale & Enhance (Prime Model)" test, Input 1_LE_upscale_prime_x4_light_ai_30.jpg
Bottom Line
Prime model delivers strong portrait upscaling with natural facial detail. Light AI intensity control is a useful safeguard against over-sharpening.
Old Photo Model (Archival Restoration)
9/10
▾
Test Summary
Feature tested: Old Photo Model (Archival Restoration)
Result: Passed (9/10)

Feature tested: Old Photo Model (Archival Restoration)

Result: Passed (9/10)

Expected behavior: Claims to restore degraded, damaged, or historically compressed images by recovering detail without amplifying noise.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input 2 - Historic_photo.png

Observed output: Output artifact (Image): Screenshot 2026-04-23 144638.png

Input artifact: Input artifact (Image): Input 2 - Historic_photo.png

Output artifact: Output artifact (Image): Screenshot 2026-04-23 144638.png

What changed: Image transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input 2 - Historic_photo-1.png

Observed output: Output artifact (Image): Input 2_LE_upscale_prime_light_ai_30.jpg

Input artifact: Input artifact (Image): Input 2 - Historic_photo-1.png

Output artifact: Output artifact (Image): Input 2_LE_upscale_prime_light_ai_30.jpg

What changed: Image transformed into Image

Why it matters / Conclusion: Old photo model is the best archival restoration option tested across all tools. Grain managed cleanly without smearing or hallucination.

Claims to restore degraded, damaged, or historically compressed images by recovering detail without amplifying noise.

IMAGE
Input artifact for "Old Photo Model (Archival Restoration)" test, Input 2 - Historic_photo.png
↓
IMAGE
Output artifact for "Old Photo Model (Archival Restoration)" test, Screenshot 2026-04-23 144638.png
IMAGE
Input artifact for "Old Photo Model (Archival Restoration)" test, Input 2 - Historic_photo-1.png
↓
IMAGE
Output artifact for "Old Photo Model (Archival Restoration)" test, Input 2_LE_upscale_prime_light_ai_30.jpg
Bottom Line
Old photo model is the best archival restoration option tested across all tools. Grain managed cleanly without smearing or hallucination.
Product Image Upscaling
8.5/10
▾
Test Summary
Feature tested: Product Image Upscaling
Result: Passed (8.5/10)

Feature tested: Product Image Upscaling

Result: Passed (8.5/10)

Expected behavior: Claims to upscale product photography with preserved edge sharpness and label text legibility.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input 3 - Product_image.png

Observed output: Output artifact (Image): Screenshot 2026-04-23 144824.png

Input artifact: Input artifact (Image): Input 3 - Product_image.png

Output artifact: Output artifact (Image): Screenshot 2026-04-23 144824.png

What changed: Image transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input 3 - Product_image-1.png

Observed output: Output artifact (Image): Input 3_LE_upscale_prime_x2_light_ai_30.jpg

Input artifact: Input artifact (Image): Input 3 - Product_image-1.png

Output artifact: Output artifact (Image): Input 3_LE_upscale_prime_x2_light_ai_30.jpg

What changed: Image transformed into Image

Why it matters / Conclusion: Label text legibility visibly improved. Background clean white preserved. 4x scale recommended for print catalogue use.

Claims to upscale product photography with preserved edge sharpness and label text legibility.

IMAGE
Input artifact for "Product Image Upscaling" test, Input 3 - Product_image.png
↓
IMAGE
Output artifact for "Product Image Upscaling" test, Screenshot 2026-04-23 144824.png
IMAGE
Input artifact for "Product Image Upscaling" test, Input 3 - Product_image-1.png
↓
IMAGE
Output artifact for "Product Image Upscaling" test, Input 3_LE_upscale_prime_x2_light_ai_30.jpg
Bottom Line
Label text legibility visibly improved. Background clean white preserved. 4x scale recommended for print catalogue use.
Scale Factor Control and Light AI Intensity Control
8/10
▾
Test Summary
Feature tested: Scale Factor Control and Light AI Intensity Control
Result: Passed (8/10)

Feature tested: Scale Factor Control and Light AI Intensity Control

Result: Passed (8/10)

Expected behavior: Offers 1x, 2x, 4x, 8x, and 16x scale options. Auto mode also available. Allows the editor to adjust AI enhancement intensity from 0–100% to control how aggressively the model enhances detail.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): Three different types of low resolution images

Observed output: Output artifact (Image): Screenshot (224).png

Input artifact: Input artifact (Text prompt): Three different types of low resolution images

Output artifact: Output artifact (Image): Screenshot (224).png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Manual scale selection recommended over Auto for print workflows. 4x is the practical sweet spot for editorial use. 30% is the recommended starting point. Useful control that prevents over-processing on clean portrait inputs.

Offers 1x, 2x, 4x, 8x, and 16x scale options. Auto mode also available. Allows the editor to adjust AI enhancement intensity from 0–100% to control how aggressively the model enhances detail.

Three different types of low resolution images - Headshot, Historic and Product Images
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IMAGE
Output artifact for "Scale Factor Control and Light AI Intensity Control" test, Screenshot (224).png
Bottom Line
Manual scale selection recommended over Auto for print workflows. 4x is the practical sweet spot for editorial use. 30% is the recommended starting point. Useful control that prevents over-processing on clean portrait inputs.

Use Case Track Record

Enhance and Upscale Images from Low-Resolution Inputs

Pricing & Access

TESTED
10 Free credits
$ 0
Input image up to 24 megapixels or 50MB, Upscale up to 8 megapixels, Unlimited storage for 6 months, Email support, Upgrade anytime, Watermark (removed for paid users)
Starter
$9 /month
Save up to 600 unused credits, Unused credits roll over, Upscale up to 256 megapixels, Unlimited storage for 3 months, Input image up to 64 megapixels or 50MB, Generate AI art, Remove backgrounds, Priority enhancement, Chat support, Early access to new features, Downgrade, Upgrade or Cancel anytime
Pro
$ 24 / month
Save up to 1800 unused credits, Unused credits roll over, Upscale up to 350 megapixels, Unlimited storage for 6 months, Input image up to 64 megapixels or 50MB, Generate AI art, Remove backgrounds, Priority enhancement, Chat support, Early access to new features, Downgrade, Upgrade or Cancel anytime
Max
$34 /month
Save up to 3000 unused credits, Unused credits roll over, Upscale up to 512 megapixels, Unlimited storage for 6 months, Input image up to 64 megapixels or 50MB, Generate AI art, Remove backgrounds, Priority enhancement, Chat support, Early access to new features, Downgrade, Upgrade or Cancel anytime

* Pricing as of April 2026. Billed annually.

Is This Right For You?

A side-by-side guide based on our hands-on testing.

✓ Use This If
●You work with archival or historically degraded images and need a purpose-built restoration model
●You need a fast, web-based workflow with no software installation
●Portrait fidelity is a priority — skin and hair detail must remain natural
●You want a built-in before/after comparison for quick quality review
●You need up to 16x upscaling for very large format print outputs
✕ Skip This If
●You need confirmed TIFF input support for your editorial workflow
●You need DPI explicitly confirmed in the interface before download
●You process high volumes of images daily and need more than 10 free credits
●You need direct Lightroom or Photoshop plugin integration

Frequently Asked Questions

Based on our testing, the upload interface lists JPG, PNG, and WebP up to 50MB. TIFF was not listed as a supported input format — editors working with TIFF source files will need to convert before uploading.
DPI tagging was not explicitly confirmed in the interface during testing. After download, we recommend verifying DPI after importing into InDesign or Photoshop before sending to print.
The Old photo model is purpose-built for degraded archival inputs. It manages grain without amplification and recovers edge detail without hallucinating content — the best result for historical photograph restoration in our testing.
For a 300 DPI print target, 4x is the recommended scale factor for most editorial inputs. 2x is sufficient for web use but may be marginal for half-page print layouts at 300 DPI.
Light AI controls how aggressively the model applies enhancement. In our testing, 30% was the optimal setting for clean portrait inputs. Higher settings introduced over-sharpening on skin. Lower settings gave minimal enhancement on already clean images.
image-generatortext-to-imagetext

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