LetsEnhance vs Upscale.media

LetsEnhance is an AI image upscaler for JPG, PNG, and WebP files, with batch processing and API access. Users can enlarge images by 2x, 4x, 8x, or 16x, or choose custom dimensions; the service lists output up to 512 megapixels and support for reaching 300 DPI print resolution. Prime, Gentle, and Old Photo modes target different enhancement needs, and the listed capabilities also include face enhancement and old photo restoration. New users receive 10 free credits without a credit card, and processing one image uses one credit. Free inputs may be up to 24 megapixels or 50 MB, while free outputs are limited to 8 megapixels; free-plan images include a watermark. Paid plans remove the watermark. Starter costs $9 a month billed annually and includes 100 monthly credits. Unused credits roll over while a subscription is active, but expire when it ends; cancellation also ends unused credits and membership benefits at the billing period's end. The listed platform is API, and there is no desktop app. LetsEnhance is based in San Francisco, California.

Upscale.media enlarges and enhances images using AI, with scaling up to 8x and batch processing for multiple images. Its tools include sharpening, retouching, face enhancement, deblurring, dehazing, and restoration. It accepts PNG, JPEG, JPG, WebP, and HEIC files, and images can be processed in a browser without installing software. API access supports integration with existing systems; the page also describes a console and dashboard for administration and bulk transformations. A free Google Play app is available, but there is no desktop app. The free plan includes 3 credits and 3 downloads each month, while guests can upscale one image per day. Paid options include 60 credits for $5.99 per month and a subscription for $69.99 per year. The annual subscription renews yearly and can be cancelled anytime. Monthly credits expire at each billing-cycle end; purchased credits remain valid for one year. Logged-in images can be up to 20,000 x 20,000 at 1x, with lower limits at higher scales.