What is Let's Enhance?
Let's Enhance is a web-based image upscaler and restoration toolkit. It increases pixel dimensions while using learned models to reduce compression artifacts, noise, softness, and blockiness. Current materials describe upscaling as high as 16× and outputs up to 512 megapixels on the Max tier, although the available factor and resolution depend on the source, model, operation, and plan.
Different images need different treatment. Photographs, portraits, screenshots, labels, illustrations, AI art, product images, and heavily compressed JPEGs have different failure modes. Let's Enhance offers controls and models such as face enhancement, authentic or stronger change levels, text-oriented Prime processing, color and lighting correction, background removal, generation, and video upscaling. The business offering connects higher-volume workflows and an API through Claid.
Quality: enhancement is not recovery
Traditional interpolation creates more pixels from neighboring values. AI upscaling can infer higher-frequency details learned from other images. That often looks better, but an inferred eyelash, fabric weave, label edge, license plate character, signature stroke, skin texture, or product seam is not necessarily present in the original scene.
Preserve the source file and compare at the final delivery size. Inspect faces, hands, text, logos, repeating patterns, fine lines, reflections, edges, jewelry, and product details. Try more than one model and select the least transformative setting that meets the output requirement. For print, produce a physical proof; screen sharpness does not predict paper, ink, viewing distance, or halftone behavior.
Never use generative enhancement as silent evidence restoration. Medical, forensic, scientific, surveillance, insurance, legal, identity, compliance, and historical documentary workflows require documented methods and specialist review. Label enhanced derivatives, preserve hashes and originals, record settings and software version, and avoid claims about information that was not observable in the source.
Plans and credits
Free accounts receive 10 credits, require no card, accept input up to 24 megapixels or 50 MB, and upscale output to 8 megapixels. Free downloads include a watermark. Buying a subscription or pay-as-you-go bundle removes the watermark, including when re-downloading images previously enhanced with free credits.
Starter includes 100 monthly credits and costs $9 per month at the annual rate or $12 month-to-month. It permits input up to 64 megapixels or 50 MB and output up to 256 megapixels. Pro includes 300 credits at $24 annual-rate monthly or $32 monthly and outputs up to 350 megapixels. Max includes 500 at $34/$45 and up to 512 megapixels. Check the live checkout because taxes, currency, promotions, and plan features can change.
The pricing page says one processed image generally costs one credit. Model, video, generation, or API operations may differ, so confirm the exact workflow. Personal subscription credits roll over while the account remains subscribed, capped at six times the monthly allowance: 600, 1,800, or 3,000. Business credits do not roll over. Cancelling causes remaining subscription credits to expire at the paid-period end; pay-as-you-go bundles do not expire.
Cost per accepted image includes retries, model comparisons, alternate settings, rejected hallucinations, manual retouching, and quality review. Test a representative batch before choosing a volume plan. When downgrading, the lower six-month storage cap can discard credits above the new maximum.
Privacy, content, and retention
Let's Enhance processes uploaded media in the cloud. Its privacy policy says it collects request and API data and may retain personal information as long as needed to provide services, comply with law, resolve disputes, prevent fraud, and conduct business. Account data may remain for a plan-dependent period and no longer than 12 months after account closure. Users can access or delete data through account procedures.
The terms say users own their content, while granting Let's Enhance broad rights needed to store, process, and provide the service and to use content in de-identified form to improve products and for business purposes. Deletion uses reasonable efforts and cached references may not disappear immediately. These terms are not equivalent to immediate deletion, zero retention, or a categorical promise never to use derived data for improvement.
Do not upload images without the necessary copyright, privacy, publicity, confidentiality, and contractual rights. Remove metadata and sensitive context when possible. Enterprise and API buyers should request the current MSA, DPA, subprocessor list, regions, storage duration, backups, deletion SLA, training and de-identification scope, support access, security evidence, breach terms, and Claid-specific data path.
The terms also restrict using the service to generate training data or for competitive AI research. Buyers planning model evaluation, dataset creation, or resale should get written permission rather than infer rights from a standard subscription.
Verdict
Let's Enhance is useful when a low-resolution image needs to look cleaner and larger for ecommerce, web, social, presentations, or print. Its clear credit and resolution tiers make it easier to estimate a conventional image-processing workflow than many all-purpose creative suites.
Its output should remain a derivative, not a recovered truth. Test with representative assets, preserve originals, disclose meaningful AI reconstruction, inspect at final size, and measure the percentage of images accepted without manual repair. Adopt it for sensitive or automated workloads only after retention, rights, API cost, and hallucination thresholds are documented.
