Image to Pixel Art Converter
Upload an image and the tool finds the hidden pixel grid, realigns stray pixels, and reduces colors to a palette to make a clean pixel image. Inspect the result with zoom, grid overlay, and palette, then save it as a PNG.
Image
Pixel size
Colors
Save
Your image is never uploaded — everything runs in your browser.
Result preview
Preset palette
ready to use.
- Visible firstKeep the input and result positions clear.
- Results firstPut the main number up front and keep the process secondary.
- Less to askNo sign-up or extra information before using the tool.
How Image to Pixel Art Converter works
Image to Pixel Art Converter is a free tool for blurry, off-grid pixel art. It finds the hidden pixel grid in your image, snaps every pixel back into place, and reduces colors to a palette — keeping intentional detail like dithering and outlines while removing blur and stray artifacts.
Everything runs in your browser the moment you upload. Inspect the result with zoom, a grid overlay, and the output palette, then save a PNG. The sections below explain what each setting does and how to fix a result that comes out wrong.
What Image to Pixel Art Converter does
It finds the pixel grid in your uploaded image, realigns stray pixels, and cleans the colors to produce true pixel art. Use it to clean up blurry AI pixel art or images whose grid does not line up. You can also use it to give an ordinary photo a dotted, pixel look.
The nostalgic charm of pixel art
Pixel art carries the nostalgia of the 8-bit and 16-bit game era. Working within a tight budget of colors and dots produces images that feel sharp and memorable. Every character and icon has the warmth of something placed by hand. This tool moves your photo or artwork into that pixel look, so you can make retro game sprites, pixel avatars, and emoji-style images in seconds.
The pixel grid: one cell equals one pixel
In true pixel art, one grid cell is exactly one pixel. When an image is scaled up, that grid drifts, one cell bleeds into several pixels, and the edges blur. This tool finds the hidden grid again and collapses each cell to a single color so pixels stay cleanly separated.
- One cell equals one pixel, so dots land crisply.
- Upscaled images lose the grid and the pixel separation breaks down.
- Realigning the grid keeps stairs clean when zoomed, ready for a sprite sheet.
How it works
It runs in three stages. Each stage flows automatically, and changing a setting recomputes instantly.
- Color cleanup: extract the main colors from the image to cut noise and blur first.
- Grid detection: estimate the size of a single pixel from the spacing of repeating edges across each axis.
- Snap to grid: collapse each cell to one representative color along that spacing, realigning stray pixels onto a perfect grid.
Colors setting
The slider sets 2 to 64 colors. The tool pulls that many representative colors from your image to build a palette. Fewer colors give a crisper, more graphic look; more colors stay closer to the original. The default of 16 works well for most pixel art.
Lock colors with a custom palette
To use only specific colors, type a comma-separated hex list, or load a palette PNG to use only that image's colors. This is handy when several sprites, tilesets, or game assets must share one palette.
- Example: 0d2b45,203c56,544e68,8d697a
- Load PNG: reads up to 256 colors from a palette image automatically.
- Clear: turns off the custom palette and returns to the Colors setting.
Pixel size: auto vs manual
Auto detect usually finds the size of one grid cell. If the result comes out too fine or mushy, switch to "Set manually" and enter the original scale (for example 8px). If you know how much the source was scaled up, entering that value gives the cleanest result.
Inspect the result closely
The result preview gives you several ways to check the output. Save it if it looks right, or change a setting and check again.
- Use the zoom slider to enlarge pixels and study them one cell at a time.
- Turn on Show grid to overlay cell boundaries and confirm alignment.
- Read the output palette to see the exact colors that were used.
- Use the Result / Original buttons to compare before and after.
Great for these images
It works best on images that benefit from being rebuilt on a grid.
- AI pixel art: off-grid output from GPT Image, Gemini, and similar models
- Tilemaps and isometric maps: tiles that do not line up and fail to tile
- 2D game assets and textures: rebuilding them crisp and scalable again
When it does not look right
Adjust in this order and it usually resolves.
- Auto detect is off → set the pixel size manually and enter the original grid size
- Colors look muddy → raise the Colors count
- Result splits into too-tiny cells → enter a larger pixel size
- Photo with no real grid → set a pixel size manually for a dotted conversion
Check before saving
Give the result one look before you download.
- Zoom in to confirm the pixels are crisply aligned
- Check the output palette matches the colors you intended
- Confirm the grid size matches the original image
- When it looks right, download the PNG (scale to 4x or 8x if needed)
Tips for great pixel art
A few habits make the result much crisper.
- Fewer colors: start with 8 to 16 for that graphic, dotted look.
- Match the pixel size to the source: too small looks noisy, too large mushes.
- Keep outlines and dithering: preserve intended detail and avoid over-simplifying.
- Simple backgrounds: characters and objects convert better than busy scenes.
- For sprites, a PNG with a transparent background is easiest to use.
Ways to use your pixel image
From casual fun to real production, it fits a lot of uses.
- Game characters, sprites, and tiles
- Profile and avatar images
- Emoji and stickers
- Retro wallpapers
- Pixel logos and icons
- Pixel images for merch or NFTs
Open-source basis (attribution)
The grid detection, snapping, and color cleanup algorithm is re-implemented in browser JavaScript, based on the approach of Hugo Duprez's open-source project Sprite Fusion Pixel Snapper (MIT License). The original project is linked in the source below. Your image is never uploaded and is processed only in your browser.
See it in action
An example of an uploaded image converted into pixel art.
Frequently asked questions
What does Image to Pixel Art Converter do?
It finds the hidden pixel grid in your image, snaps stray pixels back into place, and reduces colors to a palette to make a clean pixel image. Use it to fix blurry AI pixel art or images whose grid does not line up.
Can it fix AI-generated pixel art?
Yes — that is exactly what it is for. Images from models like GPT Image or Gemini (Nano Banana) have inconsistent pixel sizes and positions, and this tool re-aligns them onto a consistent grid.
How is the Colors setting different from a custom palette?
The Colors setting builds a new palette by pulling that many representative colors from your image. A custom palette forces the output to use only the colors you specify — handy when several sprites must share one palette.
The result looks mushy or too tiny.
Auto grid detection is off. Switch pixel size to "Set manually" and enter the size of one original grid cell (for example 8px). If colors look muddy, raise the Colors count.
Is my image uploaded to a server?
No. Everything runs in your browser only. Your image is never sent to a server, and no account is required.
How do I save the result?
Press the Download PNG button below the result. The cleaned pixel image saves as a PNG at its native grid size. Scale it to 4x or 8x if you want a larger, crisp copy.
Where does the tool's method come from?
The grid detection and snapping algorithm is re-implemented in browser JavaScript, based on Hugo Duprez's open-source Sprite Fusion Pixel Snapper (MIT License).
How many colors should I use for pixel art?
There is no single answer, but starting with 8 to 16 colors brings out that crisp, dotted look. More colors stay closer to the original and look softer; fewer colors feel more graphic and retro. Move the slider and pick the point you like.
Can I use the pixel image in a game or as a profile picture?
Yes. The result comes from the image you uploaded, so you are free to use it. The copyright of the original image still applies, though — if you uploaded someone else's artwork or a copyrighted image, follow its usage terms.
The grid detection and snapping algorithm follows the approach of the open-source project (MIT) below.