Classical upscaling algorithms — bicubic, bilinear, Lanczos — work by interpolating values between existing pixels. They have no knowledge of what the image "should" look like at higher resolution, so they produce smooth but blurry results. Edge sharpness is lost, fine textures become mushy, and text or line art develops halos. The larger the scale factor, the worse the result.
Ampliador de Imagens com IA
Amplie Imagens com Inteligência Artificial
Aumente a resolução de imagens até 4x usando IA. Melhore qualidade sem pixelização.
Ampliação 4x com IA
Remove pixelização
Melhora detalhes
Powered by Real-ESRGAN
Arraste seu arquivo aqui
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Até 100 MB grátis • Formato de Saída: PNG, JPG, WEBP
Higher scale = more AI processing time. 4x may take up to 30 seconds.
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Seguro e Privado
Arquivos apagados em 2h
Processamento Rápido
Nenhuma conta necessária
Ultra Rápido
How to Convert
Converta qualquer arquivo em segundos — sem software, sem cadastro necessário.
01
Enviar
Envie seu arquivo de áudio
02
Escolher formato
Selecione o formato de saída
03
Baixar
Obtenha seu arquivo convertido
Por Que EasyConv
Why Use EasyConv
Professional-grade conversion with features designed for real-world workflows.
Controle de qualidade
Ajuste as configurações de qualidade.
4x Detail Enhancement
A 500×500 image becomes a crisp 2000×2000 at 4x — suitable for large prints and high-DPI displays.
Photos & Illustrations
Works on photographs, anime artwork, digital illustrations, and screenshots — separate models optimise each type.
Processamento seguro
Arquivos processados com segurança.
Colour Fidelity
The upscaler preserves and enhances original colours — no colour shifting or desaturation artefacts.
Todos os formatos principais
Suporta todos os formatos populares.
300+ Formatos
Supported Formats
Detailed breakdown of every format supported by this converter.
| Format | Description | Extension | Use Case |
|---|---|---|---|
| JPG INPUT | Upscale JPEG photos | .jpg |
Portrait photos, landscapes, product images |
| PNG INPUT | Upscale PNG with transparency | .png |
UI screenshots, logos, illustrations |
| WEBP INPUT | Upscale modern WebP images | .webp |
Web images, downloaded assets |
| PNG OUTPUT (2X) | Double original resolution | .png |
Retina displays, web 2x assets |
| PNG OUTPUT (3X) | Triple original resolution | .png |
Large prints, HD mockups |
| PNG OUTPUT (4X) | Quadruple original resolution | .png |
Poster prints, canvas art, restoration |
3 Passos Simples
Frequently Asked Questions
Everything you need to know about this conversion tool.
We use Real-ESRGAN (Real-Enhanced Super-Resolution Generative Adversarial Network), a state-of-the-art model trained on real-world degraded images for natural-looking upscaling.
Significantly better. Standard bicubic enlargement just blurs pixels. Real-ESRGAN synthesises realistic textures, sharpens edges, and fills in plausible detail based on learned patterns.
Input images are limited to 2000×2000 pixels. At 4x scale this produces a 8000×8000 output (~64 megapixels), sufficient for A0-size prints at 96 dpi.
2x and 3x scale typically complete in 5–15 seconds. 4x upscaling on large images may take 20–30 seconds depending on server GPU load.
Yes. We use the Real-ESRGAN anime model for illustrated content, which preserves clean line art and flat colours better than the standard photo model.
AI upscaling can recover sharpness from mild blur. Severely blurry or low-resolution images (below 100px) will see improvement but cannot recover detail that was never captured.
12M+ usuários confiam em nós
Who Uses This Tool
Real-world use cases from professionals across different industries.
Print Designer
Enlarge for Large-Format Print
Upscale a 500×500 web logo to 2000×2000 at 4x for crisp A4 or A3 print without the blurring that bicubic enlargement produces.
Content Restorer
Restore Old or Low-Res Photos
Bring new life to scanned prints, old family photos, or low-resolution archive images by upscaling with AI-generated detail enhancement.
Gamer
Upscale Pixel Art for HiDPI
Use the anime/illustration model to upscale pixel-art game sprites 2x or 4x while preserving sharp edges and clean colour fills.
E-commerce Seller
Improve Low-Res Product Images
Upscale supplier product photos that arrived too small for your listing requirements to a minimum 1000×1000 without JPEG artefacts.
Digital Artist
Upscale Artwork for High-Res Sale
Enlarge digital illustrations from screen resolution (72 dpi) to print resolution (300 dpi) for art prints and Redbubble/Society6 listings.
Photographer
Recover Cropped-Down Images
If you over-cropped a photo and lost too many pixels, upscale 2x or 4x to recover enough resolution for your target use case.
Por Que EasyConv
Comparação
Veja como nos comparamos a outras soluções
| Feature |
Our Tool EasyConv |
Photoshop | Topaz Gigapixel |
|---|---|---|---|
| Modelo IA Real-ESRGAN | Preserve Details 2.0 | ||
| Fatores 2x, 3x, 4x | 2x only | ||
| Anime / illustration mode | |||
| Sem desfoque bicúbico | Partial | ||
| Aceleração GPU | |||
| Arquivos excluídos (2h) | |||
| Grátis | |||
| API access | Pro | Paid |
Technical Specifications
Technical Specifications
Detailed technical information about our conversion engine.
Limits
- Max input: 2000 × 2000 px (free)
- Max output at 4x: 8000 × 8000 px (~64 MP)
- Supported inputs: JPG, PNG, WebP
Real-ESRGAN
super-resolution
AI upscaling
ESRGAN
GPU
neural network
Engine
Real-ESRGAN v0.3 (photo) + Real-ESRGAN Anime6B (illustration)
Qualidade
PNG output at full upscaled resolution; perceptual detail hallucination from trained model weights
Speed
2x: ~5–10 s; 3x: ~10–20 s; 4x: ~20–30 s depending on input size and GPU load
Security
HTTPS transfer · isolated GPU session · auto-purged in 2 h
Model
Real-ESRGAN (GAN-based SR)
Hardware
NVIDIA GPU inference
Output format
High-res PNG
Guia completo
AI Image Upscaling Explained: Real-ESRGAN vs Traditional Enlargement
For decades, enlarging a digital image meant blurry, blocky results. AI super-resolution changed that. Modern models like Real-ESRGAN generate photorealistic detail rather than just interpolating pixels. Here is how it works and how to get the best results.
Why Traditional Upscaling Fails
How Real-ESRGAN Generates Detail
Real-ESRGAN is a Generative Adversarial Network trained on millions of real-world high-resolution images alongside artificially degraded (downsampled, blurred, compressed) versions. The generator learns to map low-resolution input to high-resolution output that is statistically indistinguishable from genuine high-res photos. It does not merely interpolate — it hallucinates plausible detail based on learned patterns in textures, edges, and structures.
Photo Model vs Anime Model: Which to Use
The standard Real-ESRGAN model is optimised for photographs with natural textures (skin, grass, fabric, architecture). It adds grain and texture detail that matches photo characteristics. The Anime6B model is optimised for drawn content: flat colour regions stay flat, linework stays crisp, and the model avoids adding photographic noise to illustrated elements. Always choose the model that matches your content type for best results.
Maximum Input and Output Resolution Limits
AI upscaling is computationally expensive. Processing a 2000×2000 image at 4x produces an 8000×8000 pixel (64 megapixel) output — equivalent to a medium-format camera. We cap free inputs at 2000×2000 to keep processing times reasonable. If your input is larger, resize it to 2000px on the longest edge first using our Image Resizer, then upscale.
Practical Tips for Best AI Upscaling Results
For photographs: remove compression artefacts first by running through the Image Compressor at quality 95 to clean up JPEG blocking before upscaling. For game sprites: use 4x with the anime model and ensure your input is at the original pixel-art resolution (no prior bicubic scaling). For print output: upscale to at least 300 dpi for your intended print size — a 4-inch print needs 1200px minimum.