Let's Enhance

Let's Enhance is an AI imaging company that builds deep learning tools for photo enhancement, upscaling and optimization. Its consumer-facing web app groups functionality into an Enhancer (improves photo quality, recovers detail, corrects color), an Upscaler (raises resolution up to 16x and as high as 512 megapixels for print and web) and a Restorer (repairs damaged or degraded photos). The workflow is upload, choose an enhancement mode, and download at full resolution; modes include Prime as the default, Gentle for images with small text or fine detail, and an Old Photo mode for damaged scans. Supported input formats include JPG, PNG and WebP, batches of up to 20 images can be processed at once, and paid plans remove watermarks. Additional features include a Chat Editor for conversational editing and an image-to-video animation option.

The technology is positioned around correcting common image defects — soft focus, compression damage, noise, poor exposure and low resolution — while avoiding the over-processed artifacts (plastic skin, halos) associated with other tools. Typical use cases described by the company are print-ready output at 300 DPI for posters, canvas, apparel and print-on-demand; cleanup and upscaling of AI-generated art from Midjourney, Stable Diffusion and DALL-E to 4K or 8K; and bulk improvement of e-commerce product photography.

Alongside the consumer product, the company operates Claid.ai, an end-to-end automated image processing platform for e-commerce and marketplace teams that handles image quality, resolution, backgrounds and catalog consistency. Claid.ai was launched in September 2021, followed by a Claid API 2.0 release in June 2022 aimed at optimizing user-generated content on multi-vendor platforms.

Founding story

Work began in October 2017 in Kyiv, Ukraine, when three co-founders rented chairs in a coworking space and worked full time without salary for six months to validate the idea. CEO Sofiia Shvets had spent about three years at Google in Ireland helping founders and C-level executives scale their businesses, and participated in the Google for Entrepreneurs program before starting the company; co-founder Vlad Pranskevičius is a software architect and machine learning practitioner based in Ukraine. A third co-founder, Alex Savsunenko, left shortly after the start. The first free version of the upscaler drew far more traffic than the team had prepared for, causing repeated site crashes and round-the-clock support and bug fixing.

Business model

Let's Enhance operates a freemium self-serve web application with paid plans (which remove watermarks and raise limits such as maximum output resolution), and an API used to automate image enhancement at volume. The company also sells Claid.ai, a B2B automated image processing platform for e-commerce catalogs. The founder has described the company shifting from an initially B2C platform toward B2B, requiring a product able to handle large volumes with higher expectations for speed, quality and consistency.

Freemium subscription plans for the web app (free tier plus paid tiers with higher resolution limits and no watermarks), combined with API-based and platform pricing for business customers through Claid.ai.

Traction

Reported usage of more than 4 million people (2021) and more than 5 million people worldwide in later company-supplied descriptions, with the API cited as automating image enhancement for Fortune 500 companies. By 2025 Claid.ai was reported as used by over 10,000 businesses and having processed more than 200 million images. The product was twice rated a top product on Product Hunt and has accumulated over 2,200 upvotes on the Future Tools directory, where it has been listed since December 2022.

Latest developments

The current product line-up comprises Enhancer, Upscaler and Restorer modes, with Prime introduced as a default model for sharper output and real texture, output up to 512 megapixels, batch editing of 20 images, a Chat Editor for conversational editing and an image-to-video feature. Claid.ai continues to be marketed to e-commerce and fashion/product photography teams for quality, resolution, background and consistency automation. In August 2025 the company launched Ultra, described as a next-generation AI upscaler.