Let's Enhance

What is Let's Enhance?

Let's Enhance (also written LetsEnhance) is an online AI image upscaler and AI photo enhancer that enhances, enlarges and fixes images, and it works on photos, AI art, logos and scanned images. The service runs under the name LetsEnhance, Inc. Press coverage dates the launch of its online tool to the end of October 2017.

It has a sibling product with a different job. LetsEnhance.io is the original web tool for enhancing and upscaling images, while Claid.ai is the company's broader AI image editing and generation platform, with its own web interface and the developer API.

Processing is metered in credits that grow with output size, every plan caps output resolution, and the official pages quote different caps for the same plans.

Core features

Upscaling and enlargement

• Fixed or custom scale: the upscaler offers 2x, 4x, 8x or 16x enlargement, or custom output dimensions.
• Print targets: the company says the upscaler can raise resolution up to 16x so photos reach 300 DPI at any size.
• Batch jobs: up to 20 images can be uploaded and processed at a time.
• Follow-on tools: a finished image can be edited further in Chat Editor or animated with Image to Video.

Enhancement models

Model choice changes the look of the result and, for Ultra, the credit cost.

For Ultra, the vendor's own guidance is to keep Intensity low, around 10–30%, to avoid a plastic look. When the right model is unclear, Try All runs one image through several models for a side-by-side comparison, and it costs more credits than a single run.

Restoration, video and generation

• Old Photo: repairs scratches, tears, fading and discolouration in aged photographs and can colorise black-and-white images automatically.
• Image to Video: each generation creates a 5-second MP4 with generated audio for 20 credits and keeps the aspect ratio of the starting image.
• Video Upscaler: accepts mp4, mov and webm files up to 100MB, outputs HD, Full HD, 2K or 4K, and shows the credit cost based on clip duration and output size.
• Text-to-image: free for the first 10 images; paid users get unlimited generations, and removing the watermark costs one credit per image with 4x upscaling included. The generation page lists celebrities and fiction characters among the realistic pictures it can make.

Video resolution is described inconsistently. One official help article says clips are generated at 720p and can be upscaled to 4K with the separate Video Upscaler for additional credits. The Image to Video product page says the video is generated in 1080p resolution and MP4 format.

Guide

1. Upload a JPG, PNG or WebP image by drag and drop or from the device.
2. Choose the goal and the model: Prime for most photos, Gentle for text-heavy images, Old Photo for damaged originals.
3. Set the scale factor or custom dimensions and any extra operations such as Tone Enhance, Colour Enhance or Background Removal.
4. Read the credit cost on the Enhance button, which updates in real time as settings change, then process the image.
5. Download the result; paid plans remove the watermark.

Preparing a file for print

1. Work out the pixel target; an A2 poster at 300 DPI, for example, needs 4,961 × 7,016 pixels.
2. In the Size sidebar under the Operations tab, choose Width & Height to enter exact pixel dimensions; Auto lets the tool pick the output size, and Scale multiplies the image by 2x, 4x, 8x and so on.
3. Or pick a built-in printing preset by paper size (A4 to A1 or poster), which calculates the pixels at 300 DPI; output defaults to 300 DPI.
4. Under Show advanced options above the Enhance button, change Save to format to PNG for a lossless file.

Restoring an old photo

Because Old Photo output is small, the recommended workflow has two passes: run Old Photo first to restore and repair, then download, re-upload and apply Prime at 4x to get the resolution back up.

Let's Enhance use cases and examples

• Print and print-on-demand: for anyone who needs to upscale images for print, the product pitches upscaling and sharpening so photos hold up on posters, canvas, t-shirts and large displays, aimed at photographers, artists and print-on-demand sellers.
• AI art cleanup: Midjourney, Stable Diffusion and DALL-E outputs can be enhanced and upscaled to 4K or 8K, which the company positions for printing or commercial use.
• Product catalogs: the company markets bulk enhancement and enlargement to keep catalog images consistent without reshooting.
• Family history: the Old Photo Restorer can be combined with video generation to turn faded, damaged portraits into short animated clips.
• Automated print pipelines: in a vendor case study, the printing platform Mixam has low-resolution files auto-upscaled to print-ready 300 DPI through the API, with 50,000+ images processed monthly.

The pipeline example runs through the API on Claid.ai, which is priced separately from the web plans.

Who is it for

• Regular processors: a subscription is pitched at people who process images regularly, weekly or several times a month.
• Occasional users: Pay As You Go is pitched at people who only need to process images occasionally, a few times a year or for a one-off project.
• Print shops, POD platforms and marketplaces: the business offer is an image enhancement API for print shops, POD platforms and marketplaces.

Less suited:

• People who need files to stay on their own machine: Let's Enhance is a cloud service whose servers do the processing.
• Free users with large output needs: the free plan card lists an 8-megapixel upscale cap (64 MP on the upscaler page), and downloads carry a watermark that is removed for paid users.
• Minors: the Terms require users to be at least 18, or the age of majority where that is higher.

Platforms

• Web app: Let's Enhance runs in the cloud, and its servers do the heavy lifting while the user waits.
• Image formats: uploads support JPG, PNG and WebP, by drag and drop or by selecting a file from the device.
• Browser: Chrome is named as the browser that handles downloads most reliably across devices.
• API: the APIs live on Claid.ai, which the company calls its sister platform from the same team.
• Mobile: the pages checked for this review describe a web app and an API but no native mobile app.

Pricing

The free plan card also lists an input limit of 24 megapixels or 50MB and a watermark that is removed for paid users. After a subscription or bundle purchase, images enhanced with free credits can be downloaded again without the watermark.

The plan page equates 1 image with 1 credit. Ultra, however, charges by output size: up to 8MP costs 1 credit, up to 32MP 4 credits, up to 128MP 8 credits and up to 512MP 10 credits. Tone Enhance, Colour Enhance and Background Removal each add to the base credit cost of a job.

Unused credits accumulate only on the personal plans (100, 300 and 500 credits), up to the stored maximum in the table, and cancelling forfeits whatever remains at the end of the paid period. Membership benefits such as higher input size limits and watermark-free downloads also end with that billing period. Business plans of 1000, 2500 and 5000 credits also exist, and their unused credits do not accumulate. Pay-as-you-go bundle and business-plan prices were not displayed in the pricing pages checked for this review.

Pay-as-you-go credits come as a one-time purchase and never expire; they cost slightly more per credit than subscription credits, and subscription credits are spent first when an account holds both.

A full refund is available within 24 hours of purchase; outside that window, refunds apply only to an open billing period. Subscriptions can be paused for up to 3 months at a time, once every 6 months, with no charges during the pause; existing credits stay usable, and the plan resumes automatically after an email 2 days beforehand. Payment is accepted by credit card or PayPal.

API access is billed separately on Claid.ai: the self-serve API starts at $59 for 1,000 credits as a one-time purchase and scales to 5,000 credits per month on subscription, with 50 free API credits to try it. Higher volumes move to custom enterprise contracts with volume pricing, dedicated support and SLAs. Web-app users who need more images or higher resolution than any plan allows are directed to hello@letsenhance.io.

Let's Enhance alternatives

• Topaz Gigapixel: a Mac and Windows app that runs standalone or as a plugin, and with local rendering the files never leave the computer.
• Claid.ai: the same team's API platform, offered for fully automated, high-volume processing.

The main trade-off is where processing happens and how it is billed. Let's Enhance processes every job in the cloud and meters it in credits that scale with output size. Topaz Gigapixel plans include unlimited cloud and local rendering on all images with no additional cost, so heavy users pay a flat plan instead of per-image credits, and confidential files can stay on local hardware.

Limitations

Conflicting resolution caps

The size limits differ between official pages. The plan cards list upscale caps of 8 MP (Free), 256 MP (Starter), 350 MP (Pro) and 512 MP (Max). The pricing FAQ says input images on all plans can be up to 64 megapixels or 50 MB, outputs can reach 256 megapixels on personal plans and 500 megapixels on business plans, and background removal is limited to 16 megapixels for both input and output. The upscaler page says free accounts upscale to 64 MP and paid plans reach 512 MP. The business API page quotes upscaling up to 559 MP.

Model and processing limits

• Old Photo output: Old Photo has a fixed maximum output of about 1MP regardless of input size.
• Strong model scope: the changelog describes Strong as designed for intensive restoration of blur, pixelation and noise in images under 2.5MP.
• Processing time: large images at 8x–16x can take up to 2.5 hours and video several hours, and these figures are published as estimates rather than guarantees.
• Account termination: LetsEnhance may close accounts it believes violate the Terms without notice and without refund; if it ends a paid account early, it refunds unused funds pro rata, and either side may end a paid account on thirty days' written notice.

Independent and user feedback

In a December 2017 hands-on, a technology reporter found that neither upscaled print was gift quality and concluded that the AI is no substitute for a full-resolution original; the test reflects the product as it was then.

As captured on October 2, 2026, a consumer review platform showed a 4.1 company rating from 186 reviews, with 81% five-star and 11% one-star ratings. The same profile noted that the company had not invited customers recently, so the reviews may not be representative, and that it had not replied to negative reviews.

Ownership, privacy and data retention

• Your content: the Terms say users (or their licensors) own content received from them through the service, and LetsEnhance claims no ownership rights over it. In the Terms text checked, no clause separately names upscaled or processed outputs.
• License to LetsEnhance: users grant a perpetual, worldwide license to use their content to provide the service and, in de-identified form, to improve products and develop new products or features. The clause does not mention model training by name.
• Deletion: on a deletion request, LetsEnhance will use reasonable efforts to remove the content, but cached copies or references may not disappear immediately.
• Retention: data stays accessible while the account is active and is kept no longer than 12 months after the account is closed.
• Personal data: the privacy policy says LetsEnhance does not sell or rent personal data.
• Text-to-image output: users own their prompts and generated Artworks to the extent allowed by law, and any use, including commercial use, is at the user's risk and subject to the Stable Diffusion license.
• Likeness: the text-to-image terms grant no rights to use any person's name, image, likeness, voice or biographical information, and any use of a work that shows people is at the user's own risk.
• Business data roles: when a customer uses the service to receive media from its own end users, the customer is the GDPR data controller and LetsEnhance the processor, and a Data Processing Agreement is provided.
• Disputes: claims go to binding arbitration under American Arbitration Association commercial rules, seated in Los Angeles County, California.
• Prompt review: text prompts may be manually reviewed by people, including third-party contractors around the world, and the terms tell users not to enter sensitive prompts or prompts containing personal data.

FAQ

Q1. Is Let's Enhance free to use?

New accounts get 10 free credits without a credit card. Free downloads carry a watermark, and the free plan card caps upscaling at 8 megapixels, although the upscaler page quotes 64 MP for free accounts.

Q2. What is the largest image Let's Enhance can produce?

It depends on the plan and on which page is read. The Max plan card lists 512 megapixels, the pricing FAQ says 256 megapixels on personal plans and 500 on business plans, and Old Photo and background removal have far lower limits of about 1MP and 16 megapixels.

Q3. Who owns the images processed with Let's Enhance?

The Terms say users own the content they submit and LetsEnhance claims no ownership over it, while granting LetsEnhance a broad license. Generated text-to-image Artworks belong to the user to the extent allowed by law, with commercial use at the user's own risk.

Q4. Can I get a refund?

A full refund is available within 24 hours of purchase. After that, refunds are limited to the current open billing period, and closed periods are not refunded.

Q5. Does Let's Enhance offer an API?

Yes, through Claid.ai. Self-serve API pricing starts at $59 for 1,000 credits, and new API accounts get 50 free credits for testing.