Let’s Enhance

1. AI image upscaling: Supports high-magnification enlargement and adds textures and details based on the image content. Available models include Gentle, Balanced, Strong, Ultra, Digital art, and Old photo.
2. Chat Editor: Lets you modify images directly through text instructions, such as replacing backgrounds, removing objects, or adjusting specific areas. Complex edits work best when divided into several steps.
3. Background removal: Automatically identifies the subject and removes the background, making it suitable for product images, profile pictures, and marketing assets.
4. Batch processing: Allows multiple images to be uploaded and enhanced together with consistent settings. It is particularly useful for e-commerce product photos and large collections of assets.
5. Image-to-video: Converts static images into simple animated content, making it more suitable for social media and lightweight advertising materials.

Let’s Enhance has a very short workflow.

Upload an image, choose a model, click Enhance, and wait a few seconds for the result. First-time users will generally not need a tutorial.

The part that requires some attention is choosing the right model.

I processed the same product image with several modes, and the differences were more noticeable than expected.

Gentle applies relatively restrained enhancement. It is suitable for packaging, logos, and images that already contain reasonable detail, since it is less likely to alter the original textures too heavily.

Balanced is the easiest option and works well for most ordinary photographs.

Strong enhances details much more noticeably. It is better suited to low-resolution portraits and blurry images, although excessive processing can make the result look somewhat artificial.

Ultra has the strongest sense of “reconstruction.” When the original is extremely small, it actively adds many details that were never present. The result may look impressive, but those details are not necessarily faithful to the source.

Digital art is better suited to illustrations and AI-generated images, while Old photo targets blur and damage in older photographs.

For that reason, do not focus only on which model is “strongest.” It is better to test two or three modes on the same image and choose the most natural result.

The free plan has two straightforward limitations: watermarked results and restricted output dimensions.

It is perfectly adequate for testing. For product images, posters, or commercial assets, however, you will generally need a paid plan.

Chat Editor is also fairly convenient.

I tested background replacement and local object removal, and simple instructions worked well. However, asking it to change the background, recolor furniture, add plants, and adjust the lighting in one request made the result much less reliable.

The most stable approach is to change one thing at a time, confirm the result, and then continue to the next step.

Image-to-video currently feels more like an additional feature. It can add simple motion to an image, but dedicated video models such as Runway or Kling are better when you need character movement, complex shots, or stronger control.

Pros

• Simple workflow: Upload, select a model, and enhance in only a few steps.
• Models for different image types: Portraits, illustrations, old photographs, and ordinary images do not have to use the same algorithm.
• Strong large-image output: Higher-tier plans can produce very high-resolution results.
• Suitable for batch workflows: E-commerce and content teams can process multiple assets at once.
• Relatively accessible pricing: Individual users can get started more easily than with some premium AI upscaling tools.

Cons

• Watermarks on the free plan: Suitable for testing, but not for final output.
• Generated details may not be authentic: Modes such as Ultra “imagine” new details and should not be treated as recovering original information.
• Chat Editor struggles with complex instructions: Multiple edits are more reliable when performed separately.
• Basic video functionality: It currently feels more like a bonus feature than a professional video workflow.
• Credits still matter at high usage levels: Plan allowances need to be monitored during large batch jobs.

Best for / Not ideal for

Best for

• E-commerce sellers and operators: Well suited to low-resolution product images, background processing, and batch optimization.
• Content creators: Useful when old assets, cover images, or social media graphics lack sufficient resolution.
• Designers: Small source images can be enhanced before being brought into the design workflow.
• General users: Old photographs and compressed images saved from messaging apps can be improved.

Not ideal for

• People who require absolute fidelity to the original: AI-generated textures are not the same as recovering the true original details.
• People who need professional retouching: Precise selections, complex compositing, and detailed color control still require tools such as Photoshop.
• People primarily seeking AI video generation: Image-to-video is not a core strength of Let’s Enhance.
• People who are unwilling to pay: The free version has clear watermark and output-size restrictions.

Let’s Enhance is most useful for rescuing an image that is not large enough but is still too valuable to discard.

It does not truly recover the original pixels that have already been lost. Instead, it analyzes the image and predicts and generates new details. For most everyday uses, that is enough to make a low-resolution image more suitable for display, design, and printing.

Its selection of models is also practical. Balanced works for ordinary photographs, while Strong or Ultra may help with heavily blurred images. Separate modes are available for illustrations and old photos.

The 10 free credits are enough to test the service with your own images. If you are satisfied with the results, choose Starter, Pro, or Max based on how many images you expect to process each month.

If your goal is simply to make low-resolution images more usable, Let’s Enhance stands out not because its features are complicated, but because it makes the process straightforward.