KI Bild-Upscaler

Vergrößern Sie Bilder mit KI

Erhöhen Sie die Bildauflösung bis zu 4x mit KI-Superauflösung. Verbessern Sie Details ohne Pixelation.

4x KI-Upscaling Entfernt Pixelation Verbessert Details

Datei hier ablegen

oder durchsuchen

Bis zu 100 MB kostenlos • Ausgabeformat: PNG, JPG, WEBP

Sicher & Privat

Dateien in 2h gelöscht

Schnelle Verarbeitung

Kein Konto erforderlich

Blitzschnell

How to Convert

Konvertieren Sie jede Datei in Sekunden — ohne Software, ohne Anmeldung.

Hochladen

Audiodatei hochladen

Format wählen

Ausgabeformat auswählen

Herunterladen

Konvertierte Datei herunterladen

Warum EasyConv

Why Use EasyConv

Professional-grade conversion with features designed for real-world workflows.

Qualitätskontrolle

Passen Sie Qualitätseinstellungen an.

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.

Sichere Verarbeitung

Dateien werden sicher verarbeitet und gelöscht.

Colour Fidelity

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

Alle Hauptformate

Unterstützt alle populären Formate.

300+ Formate

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 Einfache Schritte

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+ Nutzer vertrauen uns

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.

Warum EasyConv

Vergleich

Sehen Sie, wie wir im Vergleich abschneiden

Feature	Our Tool EasyConv	Photoshop	Topaz Gigapixel
Real-ESRGAN KI-Modell		Preserve Details 2.0
2x, 3x, 4x Skalierung		2x only
Anime / illustration mode
Keine Bicubic-Unschärfe		Partial
GPU-beschleunigt
Dateien werden gelöscht (2h)
Kostenlos
API access	Pro		Paid

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)

Qualität

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

Komplette Anleitung

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.