Increase Image Resolution — AI-Powered DPI & PPI Enhancement

Increase image resolution from web-quality 72 DPI to print-ready 300+ DPI using Real-ESRGAN AI super-resolution. Whether you need higher pixel density for sharp prints, retina displays, or large-format output, our AI reconstructs genuine detail — not just stretched pixels.

Increase Resolution Now Free SVG workspace

Free local tracing needs no account. AI tools use credits and upload files for processing.

Explore features and examples

From your image to editable paths

Choose the workflow that suits your file.

01
Open your file
PNG, JPG, WebP, or AVIF up to 10 MB. Existing SVGs can be edited in the free workspace.
02
Trace and inspect
Preview the shapes and colors. Clear logos and flat artwork usually trace more predictably than photos.
03
Make it yours
Edit the SVG, compare optional optimization, and download your result.

Working with your SVG

72 DPI to 300+ DPI

Transform web-resolution images into print-ready assets. AI super-resolution adds real pixel density — not interpolated blur — so your 72 DPI web graphic becomes a crisp 300 DPI print file.

True Detail Reconstruction

Real-ESRGAN doesn't stretch pixels like bicubic or bilinear interpolation. It uses neural networks trained on millions of image pairs to reconstruct texture, edges, and fine detail at higher resolutions.

Retina & HiDPI Ready

Modern displays demand 2x-3x pixel density. Increase resolution to match Retina, 4K, and 5K displays so your images look tack-sharp on every screen, from iPhones to studio monitors.

Up to 4x Resolution Boost

Choose 2x for moderate resolution increase or 4x for maximum pixel density. A 1000x1000 image at 72 DPI becomes 4000x4000 — equivalent to 288 DPI at the same physical size.

Preserves Color & Tone

Resolution enhancement maintains accurate color reproduction, tonal range, and white balance. Critical for product photography, artwork reproduction, and brand assets where color fidelity matters.

Any Source Format

Upload PNG, JPG, WebP, HEIC, TIFF, or BMP. Get back a high-resolution file ready for print shops, display advertising, photo books, or digital signage — no format restrictions.

AI conversion features

Increase resolution up to 4x
72 DPI to 300+ DPI conversion
Real-ESRGAN AI super-resolution
Print-ready output quality
Retina and HiDPI optimization
Face enhancement (GFPGAN)
Preserves color accuracy
No blur or interpolation artifacts
PNG, JPG, WebP, HEIC support
Large-format print preparation
Commercial use allowed
Free credit to try

Questions about your file

Free local tools. Optional AI credits.

Local tracing and SVG editing need no credits. AI conversion includes one credit after email verification; additional packs start at $9.99.

See AI pricing

Understanding Image Resolution

DPI — Dots Per Inch (Print)

DPI measures how many ink dots a printer places per linear inch of paper. Higher DPI means finer detail and smoother gradients in printed output. Standard commercial printing requires 300 DPI, while large-format banners can look sharp at 150 DPI because they're viewed from a distance. A 3000x3000 pixel image printed at 300 DPI produces a 10x10 inch print.

PPI — Pixels Per Inch (Screen)

PPI measures how many pixels a display renders per inch. Standard monitors show 72-96 PPI, while Apple Retina displays reach 220-460 PPI. A "Retina" image needs 2x-3x the pixels of a standard image to look sharp on high-density screens. When you increase image resolution, you're adding the pixel density these displays demand.

Resolution vs. File Size

Doubling resolution means 4x the pixels (2x width times 2x height), which roughly quadruples file size. A 1MB web image at 72 PPI becomes approximately 4MB at 144 PPI and 16MB at 288 PPI. Our AI enhancement optimizes output so files stay manageable while maximizing visual quality.

Effective Resolution

What matters isn't the DPI metadata tag — it's the total pixel count relative to the output size. A 3000px-wide image has an effective resolution of 300 DPI when printed at 10 inches, but only 150 DPI when printed at 20 inches. Our tool increases actual pixel count, giving you the flexibility to print larger at higher DPI.

Resolution Requirements by Use Case

Use Case	Required DPI	Typical Size	Min Pixels Needed
Web & Social Media	72 PPI	1200x630px	~756K pixels
Retina Display (2x)	144 PPI	2400x1260px	~3M pixels
Standard Print (Brochure)	300 DPI	8.5 x 11 in	~8.4M pixels
Magazine Cover	300 DPI	8.5 x 11 in	~8.4M pixels
Photo Book	300 DPI	12 x 12 in	~13M pixels
Fine Art Print	360 DPI	16 x 20 in	~41.5M pixels
Large Format Poster	150 DPI	24 x 36 in	~19.4M pixels
Banner / Trade Show	100-150 DPI	3 x 8 ft	~12.4M pixels
Billboard	15-30 DPI	14 x 48 ft	~1.7M pixels

How AI Increases Resolution

Traditional Interpolation (Outdated)

Bicubic and bilinear interpolation average neighboring pixels to fill gaps when scaling up. The result is always softer than the original — like looking through frosted glass. No new information is created, so detail is permanently lost. This is what Photoshop's "Image Size" does by default, and why designers dread scaling up raster assets.

Nearest Neighbor (Worst Case)

Nearest neighbor simply duplicates pixels, creating blocky, pixelated output. While useful for pixel art that should stay crisp, it's disastrous for photos and graphics. Each doubled pixel becomes a visible square, producing the classic "zoomed in too far" look that screams low quality.

AI Super-Resolution (Our Approach)

Real-ESRGAN uses a generative adversarial network trained on millions of high-resolution / low-resolution image pairs. It learns the statistical relationship between low-res patterns and their high-res counterparts. When you increase resolution, the AI predicts what genuine detail should exist — reconstructing sharp edges, realistic textures, and natural gradients.

Why AI Results Look Native

The "adversarial" training process means one network generates detail while another judges whether it looks real. Through millions of iterations, the generator learns to produce detail indistinguishable from native high-resolution capture. The result passes both visual inspection and print production quality checks.