Convert Any Photo to Pixel Art

How it works

1. 1

   Upload your photo

   Drop your image into EditThisPic. Portraits with clear subjects and good lighting produce the sharpest pixel art. JPG, PNG, WebP up to 7MB.

   Expect: Simple portraits: 15-25 seconds. Complex scenes with multiple subjects: may need 2-3 refinements for the best pixel art result.
2. 2

   Describe the pixel art style you want

   Type your instruction: 'transform this photo into 16-bit pixel art style' or 'turn this portrait into retro pixel art with limited color palette.' Specify the resolution feel — 8-bit for chunkier pixels, 16-bit for more detail. No marking needed — the AI transforms the entire image.

   Tip: Mention a specific color count like 'with 16 colors only' or 'NES palette' to get a more authentic retro look.

   Copy one of these to get started:

   Classic 16-bit pixel art transform this photo into 16-bit pixel art style with visible square pixels, limited color palette, and retro game aesthetic

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   Retro portrait with limited palette turn this portrait into retro pixel art with limited color palette, clean pixel edges, and a classic 90s game character feel

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   Game character sprite make this photo look like a pixel art game character sprite with bold outlines, flat colors, and an RPG character vibe

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   Pixel art avatar for social media convert this selfie into pixel art avatar style with vibrant colors, clean square pixels, and a fun retro gaming look

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   3 more prompts

   8-bit chunky pixel style transform this photo into 8-bit pixel art with large chunky pixels, very limited color palette, and that classic NES game feel

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   Pixel art landscape or scene convert this landscape photo into pixel art with a retro 16-bit palette, visible pixel grid, and a nostalgic side-scroller game background feel

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   Pixel art pet portrait turn this pet photo into cute pixel art with bright colors, visible square pixels, and a retro game companion character style

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3. 3

   Generate and review

   Tap generate and check the pixel art conversion. Look for consistent pixel size, clean color palette, and recognizable features from the original photo. Zoom in to verify the pixel grid is uniform.