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Let’s Enhance is an AI-powered online platform that specializes in photo enhancement and upscaling. Designed for both individual users and businesses, the platform enables anyone to increase the resolution of images without sacrificing quality. Whether restoring old family photos, preparing visuals for print, or optimizing product photos for e-commerce, Let’s Enhance offers a user-friendly, cloud-based solution to traditionally complex image-editing tasks.
The core value proposition of Let’s Enhance lies in its ability to automate and simplify photo quality improvement using deep learning models trained on millions of real-world images. Unlike traditional upscaling tools that merely stretch pixels, Let’s Enhance leverages neural networks to recreate image details, textures, and colors—often producing results that feel both natural and professionally edited.
Originally launched in 2017, the service gained popularity as one of the first accessible AI super-resolution tools available directly through a web browser. Over time, its capabilities have expanded from simple upscaling to a more comprehensive suite including denoising, artifact removal, background cleanup, and even AI-generated image creation.
Let’s Enhance stands apart for offering:
- No software installation: Fully online with instant uploads and cloud-based processing.
- One-click usability: Tailored for non-professional users and content creators.
- Enterprise integrations: Scalable APIs (via Claid.ai) for real-time product photo enhancement.
- Creative features: Including AI text-to-image generation and customizable image presets.
This mix of accessibility, power, and automation has made Let’s Enhance a popular choice among photographers, marketers, online sellers, real estate agents, and graphic designers—particularly those seeking high-resolution results without the steep learning curve of tools like Adobe Photoshop.
Let’s Enhance supports high-output formats, including HD, 4K, and 8K, and can upscale images up to 512 megapixels in business scenarios. It’s also used across various industries for everything from reviving vintage portraits to creating optimized thumbnails for content platforms.
Here’s what makes Let’s Enhance relevant in today’s image-centric world:
Real-World Use Cases
| Use Case | Description |
|---|---|
| E-commerce Optimization | Enhancing product images to meet marketplace standards (Amazon, Etsy, Shopify). |
| Real Estate Listings | Sharpening property photos for listings and brochures. |
| Printing and Publishing | Preparing low-res images for large-format prints without losing detail. |
| Personal Archiving | Restoring and upscaling old family or scanned photos. |
| Social Media Content | Creating better-looking visuals for Instagram, TikTok, and YouTube thumbnails. |
Key User Groups
- Online sellers needing high-quality product photos without hiring photographers.
- Graphic designers and freelancers needing quick, professional-grade enhancements.
- Photographers looking for intelligent tools to save time in post-processing.
- Small businesses with limited access to professional image editing software.
- Developers and tech teams integrating image improvement directly into workflows using the Claid API.
Let’s Enhance has also gained popularity among creatives and startups looking for a low-barrier solution to achieve high-resolution visual content. The growing reliance on digital visual communication—especially in e-commerce, real estate, and influencer marketing—has made tools like Let’s Enhance an essential part of modern content strategies.
Additionally, the tool has received praise for enabling accessibility in design. Many users with little to no experience in image editing find they can improve or even transform visuals for commercial use, presentations, and ads—often with just a few clicks.
In terms of positioning, Let’s Enhance offers a unique value between traditional photo editing tools and AI-based creative suites:
| Comparison | Let’s Enhance | Photoshop | Waifu2x | Topaz Gigapixel |
|---|---|---|---|---|
| Web-based | ✅ | ❌ (Desktop) | ✅ | ❌ |
| AI Upscaling | ✅ | ⚠️ (manual process) | ✅ (anime-focus) | ✅ |
| Batch Processing | ✅ | ⚠️ | ❌ | ✅ |
| Business API | ✅ (Claid) | ❌ | ❌ | ⚠️ |
| Beginner Friendly | ✅ | ❌ | ✅ | ⚠️ |
| Pricing | Freemium | Subscription | Free | Paid only |
This comparative clarity makes Let’s Enhance especially appealing to users who want simplicity, speed, and affordability without sacrificing output quality.
History
Founding Vision
From the beginning, Let’s Enhance was positioned as a solution for regular users—not just creative professionals. The core team, including CTO Vladislav Pranskevičius and co-founder Oleksii Chernyshov, sought to “make AI photo editing tools usable by your grandma,” as they put it in early interviews. The platform launched publicly as a simple web-based upscaler that used convolutional neural networks trained on high-resolution photos.
This early iteration of Let’s Enhance was well-received by the tech and design communities. Online publications like Mashable and Product Hunt featured the tool as a clever, time-saving AI app. Users were impressed by the quality of the upscaling results, which often added realistic detail rather than simply enlarging blurry pixels. This positive attention helped Let’s Enhance gain early traction without significant marketing spend.
Timeline of Key Milestones
Let’s Enhance has gone through several significant evolutions since its inception. Here’s a closer look at the product and business timeline:
| Year | Milestone |
|---|---|
| 2017 | Public launch of Let’s Enhance 1.0 with basic AI upscaling capabilities. |
| 2018 | Expanded capabilities to include JPEG artifact removal and face enhancement. |
| 2019 | Reached 1 million users and introduced first subscription-based plans. |
| 2020 | Added batch processing and launched business-tier support for print and e-commerce users. |
| 2021 | Secured $3 million in seed funding; began work on next-gen B2B platform (Claid). |
| 2022 | Official release of Claid.ai — AI-driven image enhancement pipeline for commercial platforms. |
| 2023 | Introduced AI image generation from text and preset-based smart enhancement workflows. |
| 2024 | Platform optimized for 8K and 512MP output in enterprise use cases; improved API speed. |
This timeline shows how the company shifted over time—from a one-purpose photo enhancer into a modular, API-first platform capable of serving both individual creators and enterprise-scale image needs.
Launch of Claid.ai
Claid.ai became one of the most significant pivots in Let’s Enhance’s history. Unlike the original tool, which focused on individual image enhancement via the web app, Claid was built as a backend service for enterprises. It offered:
- Real-time image enhancement pipelines for uploads and content feeds.
- Presets for specific verticals, such as real estate, fashion, or print-on-demand.
- Integration with existing CMS and DAM systems via API.
- Consistent output to meet platform guidelines (e.g., Amazon or Google Shopping standards).
By separating B2C and B2B use cases into two distinct offerings—Let’s Enhance for individuals, Claid.ai for businesses—the company opened up new revenue streams and drastically increased its user base.
Global User Adoption
To date, Let’s Enhance has served over 10 million users across more than 120 countries. Its user base ranges from hobbyists enhancing personal photos to major marketplaces processing millions of images via Claid. This global traction has also allowed the platform to gather diverse data for model training—helping it work better across skin tones, textures, and lighting conditions.
Let’s Enhance supports multiple languages, and its UI has been localized to improve accessibility in non-English speaking markets. Combined with competitive freemium pricing and flexible credit plans, this global-friendly approach has fueled continued adoption in both developed and emerging markets.
Technology and Features
Let’s Enhance is built on a foundation of cutting-edge machine learning and image processing techniques that allow it to perform high-quality image enhancements at scale. At its core, the platform uses convolutional neural networks (CNNs) trained on millions of high-resolution photos to recognize visual patterns and intelligently reconstruct missing or low-quality image data.
Unlike traditional image editors or naive scaling algorithms that simply stretch an image’s pixels, Let’s Enhance takes a far more sophisticated approach: it rebuilds parts of an image by predicting what should be there, based on learned visual semantics. This process—called super-resolution—lies at the heart of what makes the tool so effective for real-world applications like e-commerce, marketing, and personal photography.
Core Technology Stack
Let’s Enhance’s enhancement engine is powered by several core components:
- Super-Resolution Algorithms: Trained on high-quality datasets of real-world objects, faces, textures, and scenes, these models can increase image resolution while restoring sharpness and details lost due to compression or low-quality capture.
- Face Restoration Model: A dedicated sub-model is applied to human portraits. It identifies facial features and interpolates realistic details, which is particularly useful for reviving old photographs or social media profile images.
- Artifact Removal Layer: Tackles common image degradation issues such as JPEG artifacts, noise, and color banding—particularly useful for images sourced from the web or scanned from print.
- Color Enhancement System: Applies dynamic tonal corrections based on image context, improving contrast, saturation, and brightness in a subtle and photorealistic way.
All processing happens server-side via Let’s Enhance’s cloud-based infrastructure. Users upload an image through the web interface or via API, and the system queues the image through various neural pipelines depending on selected settings.
Feature Overview
Image Upscaler
This is Let’s Enhance’s signature tool, designed to upscale images by 2x, 4x, 8x, or even 16x with minimal quality loss. Users can select a target resolution (e.g. Full HD, 4K, 8K), and the system intelligently fills in missing pixel data to maintain clarity.
Key benefits:
- Maintains sharpness in text, patterns, and small objects.
- Reduces pixelation from low-res web images.
- Supports output sizes up to 512 megapixels for business users.
Smart Enhancer
This feature applies a balanced set of improvements to an image: noise reduction, deblurring, tone correction, and general refinement. It is designed for quick, one-click enhancement without requiring manual adjustment.
Ideal for:
- Fixing lighting or clarity in smartphone photos.
- Enhancing social media posts or banners.
- Bringing life back into scanned or compressed photos.
Face Enhancement Mode
When working with portraits, Let’s Enhance uses a custom facial detail model that restores eyes, skin texture, and other facial features without introducing uncanny artifacts. It works particularly well with low-light selfies or old scanned photographs.
Use cases:
- Personal photo archiving.
- Improving profile pictures for LinkedIn, dating apps, etc.
- Reviving blurry group photos.
Batch Processing
The platform supports bulk uploads, allowing users to process multiple images at once—up to 20 per batch for standard users. Enterprise clients can integrate large-volume processing pipelines through Claid.
Benefits:
- Saves time for photographers and sellers with dozens of listings.
- Ensures consistency across product images.
- Reduces manual labor for agencies or content studios.
Background Removal and Clean-up
Let’s Enhance includes a background editing function that isolates subjects and removes or replaces backgrounds. This is often used in product photography where a clean white background is required.
Example applications:
- Amazon/Etsy product preparation.
- Real estate listing touch-ups.
- Portrait editing for ID photos or thumbnails.
AI Image Generator (Text to Image)
In response to the growing demand for creative AI, Let’s Enhance added an image generation feature powered by generative diffusion models. Users can enter text prompts (e.g. “A vintage car parked under cherry blossom trees”) and generate high-resolution images up to 4K in output.
Creative users employ this for:
- Generating artwork or moodboards.
- Building thumbnails for YouTube or social media.
- Supplementing visual content in marketing.
Interface and Usability
Let’s Enhance’s web-based platform is designed with usability in mind. The dashboard features drag-and-drop uploading, preset-based enhancement options, and real-time previews. Users can select from various output types—e.g., “Photo,” “Digital Art,” “Text Image”—and customize enhancement strength and target resolution.
For developers or businesses, the Claid API provides headless access to all these features. With just a few lines of code, teams can automate:
- Image resizing and enhancement at upload.
- Auto-cropping and white-space balancing.
- Consistent lighting and color corrections for product catalogs.
Enhancement Presets
To reduce complexity, Let’s Enhance provides prebuilt enhancement presets tailored for specific use cases:
| Preset Name | Optimized For | Adjustments Applied |
|---|---|---|
| Photo | Everyday snapshots | General enhancement, subtle sharpening |
| eCommerce | Product photos | Clean background, detail boost |
| Large-format images | High-resolution output, color balance | |
| Digital Art | Stylized content | Texture smoothing, vivid color |
| Portrait | Faces and selfies | Facial enhancement, tone correction |
These presets help ensure consistent output, particularly useful for teams working with standardized content formats.
Output Options
Let’s Enhance supports the following export formats and sizes:
- Formats: JPG, PNG, and lossless WEBP.
- Max Resolution: Up to 512MP for business users.
- Aspect Ratios: Maintains original or customizable via crop tools.
- Color Profiles: sRGB with future plans for AdobeRGB and CMYK.
Users can also choose “before and after” comparison views before downloading, which helps ensure that enhancements match expectations.
Infrastructure and Speed
Because all processing occurs in the cloud, users benefit from Let’s Enhance’s scalable backend, powered by GPU acceleration. Processing time for a standard 2K image is typically under 30 seconds. Larger or batch jobs may take longer but are prioritized by account tier.
To ensure privacy, Let’s Enhance adheres to GDPR and deletes uploaded images after a fixed time (typically 24 hours for free users). Paid accounts can manage storage preferences or retain image history longer.
Business and API
While Let’s Enhance started as a consumer-facing photo enhancement tool, its long-term growth has been driven largely by its enterprise capabilities. Today, the platform provides both a web-based interface for individuals and a robust API platform—Claid.ai—that powers real-time image enhancement for commercial workflows across multiple industries.
For modern businesses, visual content isn’t just aesthetic—it directly affects sales, engagement, and brand credibility. Let’s Enhance addresses these demands by helping companies automate image optimization, maintain visual standards at scale, and reduce manual intervention in post-production.
Business Use Cases
Let’s Enhance is widely used in industries where image quality has a direct impact on performance metrics like click-through rate (CTR), conversion rate, and bounce rate. These include:
E-commerce and Online Marketplaces
Product images are often the first and only visual representation of a product. Poor image quality—blurry, poorly lit, or incorrectly sized photos—can severely damage trust and deter purchases. Let’s Enhance enables online sellers to:
- Standardize image resolution across large catalogs.
- Automatically remove noisy backgrounds.
- Meet image specifications for platforms like Amazon, Shopify, and Etsy.
- Enhance photos taken by non-professionals to professional-grade quality.
Real Estate
Real estate platforms and agents rely on high-quality visuals to showcase properties. Low-resolution or poorly-lit images can result in lower user engagement or reduced listing credibility.
Let’s Enhance helps agents:
- Enhance room photos taken with smartphones.
- Adjust lighting and color tone to make interiors more attractive.
- Upscale property images for brochures or print ads.
Print-on-Demand Services
Print shops and on-demand merchandise companies (like t-shirt or canvas printers) often receive images from users that are too small or compressed for high-quality printing. Let’s Enhance upscales these images while preserving clarity and avoiding pixelation.
Value-added benefits:
- Reduce customer support related to rejected or blurry prints.
- Improve product quality without asking customers to resubmit artwork.
- Allow higher margins by supporting premium-format prints (e.g. 300 DPI posters).
Media and Publishing
Whether for magazines, blogs, or news outlets, Let’s Enhance helps editorial teams prepare images quickly and consistently without needing a Photoshop expert on hand.
The Claid API Platform
To support business workflows at scale, Let’s Enhance launched Claid.ai—a dedicated API platform for automated image enhancement and management. Claid is essentially the “backend” of Let’s Enhance, designed for developers and companies who want to embed enhancement directly into their products or workflows.
What Claid Offers
| Feature | Description |
|---|---|
| Real-time enhancement | Image processing happens instantly on upload, improving UX for customer-facing platforms. |
| Custom presets | Tailored enhancement recipes based on industry (e.g., auto dealership vs fashion). |
| Smart cropping | Automatically adjusts subject framing and aspect ratio for thumbnails, banners, etc. |
| Color and lighting normalization | Consistency across image sets without manual color grading. |
| Resolution upscaling | Upscales small user-uploaded photos for large-screen or print display. |
| Metadata retention | Preserves EXIF/IPTC data and integrates with digital asset management (DAM) tools. |
Example Integration Scenarios
- E-commerce CMS: An online seller uploads a product photo via Shopify. Claid intercepts the image, applies a predefined “white background + 4K resolution” preset, and pushes it back to the product gallery in seconds.
- Custom App: A mobile app allows users to upload custom artwork for merchandise. Claid checks resolution, upscales it to 300 DPI, and flags errors in aspect ratio before sending it to print.
API Documentation and Support
Claid’s API is RESTful and well-documented, supporting:
- Image upload via URL or file stream.
- Job status polling and callback integration.
- JSON-based enhancement recipes.
- Authentication via API key and account tier.
Developers receive access to sandbox environments and test credits, along with responsive support from the Let’s Enhance team for integration and performance tuning.
Pricing for API Access
Let’s Enhance offers tiered business pricing based on volume:
| Tier | Monthly Price | Included Credits | API Access | SLA Support |
|---|---|---|---|---|
| Starter | $49 | 500 credits | Basic | Community |
| Pro | $199 | 2,500 credits | Full | |
| Business | $499+ | 10,000+ credits | Full + Custom Presets | Priority |
| Enterprise | Custom | Unlimited | Dedicated infrastructure | SLA / White-label options |
Credits are consumed per image processed, and batch processing or advanced enhancement (e.g., 8K, background replacement) may use more than 1 credit per image.
Businesses can also opt for pay-as-you-go pricing without a subscription, depending on usage volume.
Pricing
Let’s Enhance uses a flexible pricing model designed to accommodate a wide range of users—from casual individuals who need occasional photo improvements to businesses processing thousands of images per month. The platform operates on a credit-based system, where each enhancement (or specific enhancement operation) consumes a certain number of credits, depending on the image resolution and feature used.
Users can choose between subscription plans, pay-as-you-go bundles, or stick with a limited free plan to try the tool before committing financially.
Free Plan
Let’s Enhance offers a generous free tier to help new users evaluate its capabilities.
Free Plan includes:
- 10 free credits upon registration.
- Access to core features: upscaling, color correction, and enhancement.
- Maximum export resolution: up to 64 megapixels.
- Output format: JPG only.
- Watermark-free output for most enhancements (except certain advanced presets).
- Image deletion after 24 hours.
Limitations:
- Limited batch size (typically 5 images per upload).
- Slower processing queue priority.
- No access to advanced features like AI generation or API usage.
This free tier is especially useful for personal users, occasional creatives, or small online sellers who want to test-drive Let’s Enhance before upgrading.
Subscription Plans
Let’s Enhance’s paid subscriptions are designed around monthly credit allotments. Each enhancement action consumes a set number of credits—e.g., basic upscaling may cost 1 credit, while advanced background replacement or 4x+ upscaling may consume 2 or more.
| Plan Name | Price (Monthly) | Credits | Ideal For | Key Perks |
|---|---|---|---|---|
| Lite | $9 | 100 | Casual users | Higher resolution, faster queue |
| Professional | $24 | 300 | Content creators | Batch processing, print support |
| Power | $34 | 500 | SMBs and freelancers | Access to premium enhancement presets |
| Business | $99+ | 1,000+ | Teams & agencies | Priority support, extended image history |
All subscription plans include:
- Access to all enhancement tools.
- Full-resolution export (HD, 4K, and up to 256MP or more).
- Batch uploads (up to 20 images per job).
- Export in JPG and PNG formats.
- Faster image processing queue compared to free accounts.
Unused credits roll over for up to 1 month, depending on the plan.
Pay-As-You-Go (Credit Packs)
For users who prefer not to commit to a monthly subscription, Let’s Enhance also offers one-time credit packs.
| Credit Pack | Price | Cost per Credit | Notes |
|---|---|---|---|
| 20 Credits | $9 | $0.45 | Good for testing or very light use |
| 50 Credits | $19 | $0.38 | Occasional use |
| 120 Credits | $39 | $0.33 | Moderate use |
| 500 Credits | $159 | $0.32 | Bulk processing |
These packs are ideal for users who have unpredictable workflows—such as printing an album, launching a seasonal product line, or batch-enhancing a portfolio—without needing a recurring charge.
Credits from one-time packs do not expire for at least 6 months, offering more flexibility than subscriptions.
API and Enterprise Pricing (Claid.ai)
For companies integrating Let’s Enhance into their own platforms or services, the API—branded as Claid.ai—follows a different pricing structure based on volume, performance requirements, and feature access.
| Tier | Monthly Fee | Included Credits | SLA Support | Notes |
|---|---|---|---|---|
| Starter | $49 | 500 | Community | For low-volume businesses |
| Pro | $199 | 2,500 | Email Support | Suitable for agencies and SaaS tools |
| Business | $499+ | 10,000+ | Priority Email | Advanced API features, presets |
| Enterprise | Custom | Unlimited | SLA / Dedicated infra | White-labeling, private model training available |
Additional options for Claid users:
- Custom presets for brand-specific enhancement styles.
- Webhooks and callback support for large-scale integrations.
- Priority image queueing and multi-region redundancy.
Billing is either by monthly subscription or usage-based pricing (contact sales for negotiated rates). Some clients opt for hybrid models, combining a base plan with on-demand burst capacity.
What Determines Credit Usage?
Let’s Enhance prices enhancements based on the complexity and output size of the task. Here’s how credits are typically consumed:
| Enhancement Type | Average Credit Cost |
|---|---|
| Basic upscale (2x or 4x) | 1 credit |
| High-resolution upscale (8x or higher) | 2–4 credits |
| Smart Enhancer or Portrait preset | 1–2 credits |
| Background removal | 2 credits |
| Text-to-image AI generation | 3–5 credits (depending on resolution) |
| Batch processing (per image) | 1–3 credits depending on preset |
Premium presets or complex operations (such as large batch jobs using multiple layers of enhancement) may use more credits per file, but users are notified of this before processing.
Refunds and Billing Transparency
Let’s Enhance has a self-service billing dashboard that allows users to:
- Track credit usage by image.
- View invoice history and receipts.
- Upgrade, downgrade, or cancel plans directly.
- Contact support for billing inquiries or refunds.
The company honors refund requests under reasonable circumstances—especially in cases where a user unintentionally subscribes or experiences billing confusion. However, refunds for used credits are rarely granted, as image processing is considered a completed service.
Which Plan Is Right for You?
Here’s a quick guide:
| User Type | Recommended Plan |
|---|---|
| Occasional hobbyist | Free or 20-credit pack |
| Personal content creator | Lite or Professional |
| Etsy or Amazon seller | Power plan |
| Real estate team | Business subscription or Pro API |
| Print-on-demand shop | Claid API (Business+) |
| SaaS or media platform | Claid Enterprise API |
Users can also mix plans—e.g., use subscription credits monthly and top up with pay-as-you-go credits when facing large jobs.
Let’s Enhance’s credit-based model offers pricing that scales with actual usage rather than forcing users into fixed limits. Whether you’re looking to clean up a few photos for social media or optimize an entire product feed for a shopping platform, the pricing is structured to give you control over both cost and quality.