Mejorador de Imagen IA

Mejora Imágenes Hasta 4x con IA

Aumenta la resolución de imágenes usando super-resolución con IA. Recupera detalles y reduce pixelación automáticamente.

Mejora hasta 4x IA avanzada Recupera detalles

Suelta tu archivo aquí

o explora

Hasta 100 MB gratis • Formato de Salida: PNG, JPG, WEBP

Seguro y Privado

Archivos borrados en 2h

Procesamiento Rápido

Sin registro

Ultra Rápido

Cómo Convertir

Convierte cualquier archivo en segundos — sin software, sin registro.

Subir

Suba su archivo de audio

Elegir formato

Seleccione formato de salida

Descargar

Obtenga su archivo convertido

Por qué EasyConv

Por qué Usar EasyConv

Conversión de calidad profesional con funciones diseñadas para flujos de trabajo reales.

Control de calidad

Ajusta la configuración de calidad.

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.

Procesamiento seguro

Los archivos se procesan de forma segura.

Colour Fidelity

The upscaler preserves and enhances original colours — no colour shifting or desaturation artefacts.

Todos los formatos principales

Soporta todos los formatos populares.

300+ Formatos

Formatos Soportados

Descripción detallada de cada formato soportado por este conversor.

Formato	Descripción	Extensión	Caso de Uso
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 Simples Pasos

Preguntas Frecuentes

Todo lo que necesitas saber sobre esta herramienta de conversión.

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+ usuarios confían

Quién Usa Esta Herramienta

Casos de uso reales de profesionales de diferentes industrias.

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 qué EasyConv

Comparación

Vea cómo nos comparamos con otras soluciones

Feature	Our Tool EasyConv	Photoshop	Topaz Gigapixel
Modelo IA Real-ESRGAN		Preserve Details 2.0
Factores 2x, 3x, 4x		2x only
Anime / illustration mode
Sin desenfoque bicúbico		Partial
Aceleración GPU
Archivos eliminados (2h)
Gratis
API access	Pro		Paid

Especificaciones Técnicas

Información técnica detallada sobre nuestro motor de conversión.

Límites

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

Motor

Real-ESRGAN v0.3 (photo) + Real-ESRGAN Anime6B (illustration)

Calidad

PNG output at full upscaled resolution; perceptual detail hallucination from trained model weights

Velocidad

2x: ~5–10 s; 3x: ~10–20 s; 4x: ~20–30 s depending on input size and GPU load

Seguridad

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

Guía completa

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

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.

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.