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Head-to-head · AI Image Upscalers

Bigjpg vs LetsEnhance

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Bigjpg #6 in AI Image Upscalers 8.6/10 Free plan Free plan✓ 3 of 4 features Visit Bigjpg
LetsEnhance #7 in AI Image Upscalers 8.5/10 Free plan Free plan✓ 2 of 4 features Visit LetsEnhance

Bigjpg leads on 1 check, LetsEnhance on 0, and 3 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 scoreBigjpg · 8.6/10
  • Free planboth
  • Most featuresBigjpg · 3 of 4

Bigjpg scores higher on our rubric for ai image upscalers: 8.6 against 8.5 out of 10; our editors rank them #6 and #7.

Bigjpg offers desktop app; LetsEnhance doesn't.

Bigjpg is the better fit for affordable cross-platform upscaling. LetsEnhance is the better fit for professional image enhancement batches.

  • Bigjpg fits best

    Affordable cross-platform upscaling

  • LetsEnhance fits best

    Professional image enhancement batches

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Side by side

Feature Bigjpg 8.6/10 Visit ↗ LetsEnhance 8.5/10 Visit ↗
At a glance
Editor score 8.6 8.5
Ranking #6 in AI Image Upscalers #7 in AI Image Upscalers
Best for Affordable cross-platform upscaling Professional image enhancement batches
Pricing model Free plan + paid Free plan + paid
Starting price $6 one-time $9/mo
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Desktop, Mobile Cloud
Platforms Web, Windows, macOS, iOS, Android Web
Support Email, Docs Email, Live chat
Built for Solo, Small business Solo, Small business, Mid-market, Enterprise
Features Bigjpg 3/4 · LetsEnhance 2/4
Batch processing ✓ ✓
API access ✓ ✓
Desktop app ✓ (best) —
Video upscaling Not checked yet Not checked yet
Specs
Maximum upscale Not checked yet Not checked yet
Output formats Not checked yet Not checked yet
Our review
Pros
  • Free offline enlarging with up to 4× enlargement
  • Paid plans support up to 16× enlargement and batch mode
  • Available on web, desktop, mobile, and through an API
  • Upscales images from 2× to 16× with specialized models
  • Batch processes up to 20 images and prepares files at 300 DPI
  • Paid plans support outputs up to 512 megapixels and API access
Cons
  • Free Plan is limited to 20 pictures per month
  • Free uploads are limited to 5MB
  • API access and batch processing require a paid plan
  • Free outputs include a watermark
  • The $9 Starter price requires annual billing
  • API access runs through Claid.ai rather than standard web plans
Our verdict

Bigjpg is an AI image upscaling and enhancement service for artwork, illustrations, anime images, and photographs. It uses deep convolutional neural networks to reduce noise and serration while reconstructing lines, colors, and fine…

Read the review →

LetsEnhance is a web-based AI image upscaling and enhancement service for photographers, artists, e-commerce teams, print businesses, and other users who need larger or clearer images. It supports JPG, PNG, and WebP inputs, with…

Read the review →
  1. BigjpgAI Image Upscalers 8.6Free plan
  2. LetsEnhanceAI Image Upscalers 8.5Free plan

Strengths and trade-offs

  • Bigjpg — where it wins

    • Free offline enlarging with up to 4× enlargement
    • Paid plans support up to 16× enlargement and batch mode
    • Available on web, desktop, mobile, and through an API

    Where it doesn't

    • Free Plan is limited to 20 pictures per month
    • Free uploads are limited to 5MB
    • API access and batch processing require a paid plan
  • LetsEnhance — where it wins

    • Upscales images from 2× to 16× with specialized models
    • Batch processes up to 20 images and prepares files at 300 DPI
    • Paid plans support outputs up to 512 megapixels and API access

    Where it doesn't

    • Free outputs include a watermark
    • The $9 Starter price requires annual billing
    • API access runs through Claid.ai rather than standard web plans

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update