Image to Pantone Converter
Upload any image and click any pixel to see its exact color and closest Pantone Solid Coated match. Matching uses Delta E 2000 against all 2,371 Pantone colors — the top five matches are ranked by perceptual similarity. Everything runs in your browser using the Canvas API; the image never leaves your device.
JPG, PNG, WebP, GIF, BMP. Max ~2000 px on the longest side (larger images are auto-downscaled). HEIC not supported. Image stays on your device.
Click any pixel in the image to pick its color.
What is image to Pantone conversion?
Converting an image to Pantone is a two-step process: extract a specific pixel's RGB values from the image, then find the closest Pantone code. The first step is exact — the browser reads the pixel directly from the Canvas, so the RGB values are what the image actually contains. The second step is an approximation, because Pantone is a print standard and no RGB value corresponds to any Pantone ink with perfect fidelity.
This tool does both steps locally: the image is loaded into a Canvas (no network transmission), and the pixel sampling is direct from `getImageData`. The Pantone match uses Delta E 2000 in CIELAB space — the same chain used by professional color-matching software. If you upload a photograph of a Pantone chip, you will get a very close match; if you upload a photograph of a printed Pantone-based brand color, you will get a close match to what was printed, which may differ slightly from the intended Pantone due to printer accuracy.
How to use this converter
- Click "Choose file" (or use the camera button on mobile) to load an image.
- The image appears below the upload control. Click any pixel to pick its color.
- Read the results: exact HEX/RGB from the image, plus the top 5 Pantone matches with ΔE scores.
- Click any match to visit its individual Pantone page.
How the conversion works
Three stages. First, the image is drawn to a Canvas at its native resolution (or downscaled to 2000 px on the longest side if larger). Second, when you click, the Canvas `getImageData` method reads the RGBA values of the clicked pixel — these are the exact pixel values stored in the image. Third, the RGB is converted to CIELAB and Delta E 2000 is computed between it and each of the 2,371 Pantone colors; the top five by lowest Delta E are returned.
Delta E 2000 is the current CIE standard for perceptual color difference. It weights lightness, chroma, and hue according to human sensitivity and adjusts for regional non-uniformities in color space — a Delta E 3 in the blues is genuinely comparable to a Delta E 3 in the yellows. Earlier metrics like Delta E 1976 do not have this property and produce misleading matches, particularly in the blue and purple regions.
Accuracy and limitations
- Pixel sampling is exact, Pantone matching is not. The RGB values from the image are precise. The Pantone match is a visual approximation because Pantone is a physical ink standard.
- Downscaling. Images larger than 2000 px on the longest side are downscaled to keep the tool responsive. Downscaling preserves the average color of regions, so single-pixel picks remain valid unless you click a very fine detail (sub-pixel noise).
- Photo lighting. If the image is a photograph, the picked color includes the lighting conditions of the original photo — a "pure white" wall photographed under warm indoor light will pick as a warm off-white.
- Pantone library scope. Matches are against Solid Coated (C) only. Solid Uncoated, TCX, TPG are not consulted.
Use cases
- Reproducing a photographed brand color. A brand color photographed in a product shot can be matched to a Pantone code for print collateral of that product.
- Extracting a color from a mockup. When a design mockup shows a color you want to standardize, picking it and matching to Pantone gives you a production spec.
- Finding colors in a photo. Nature photography, textile photography, artwork — any image is a palette. Picking colors from photos is a common way to find Pantone references for editorial or branding projects.
- Verifying a print proof. A photo of a printed proof can be sampled against the intended Pantone code to see if the print matched (within photo-lighting limitations).
- Reference from competitors' materials. A color in a competitor's packaging or branding can be picked and matched to Pantone for competitive analysis.
Common mistakes
- Picking a JPEG-compressed pixel near an edge — JPEG compression creates color artifacts near boundaries. Pick from the middle of a solid-color region instead.
- Expecting a match to a Pantone chip that appears in the same image — the match is to what the camera captured, not to the physical chip in the original scene.
- Uploading HEIC from an iPhone — browsers do not decode HEIC natively. Export as JPG or PNG first.
- Assuming a Delta E under 3 means "identical" — it means "close enough that most viewers won't notice side-by-side".
- Trusting the screen for print production — always verify with a physical Pantone chip.
Frequently asked questions
How do I find the Pantone color from an image?
Upload or drag-drop any image, then click the pixel whose color you want to identify. The tool reads that pixel RGB values directly from the browser Canvas, converts to CIELAB, and finds the closest Pantone Solid Coated match using Delta E 2000. You get the closest code plus four alternative matches, ranked by perceptual similarity. No image data leaves your browser — everything runs locally.
Is my image uploaded anywhere?
No. The image is loaded into your browser using the local FileReader and Canvas APIs. No network request is made with the image, and no server receives it. The entire process — loading, rendering, sampling, and matching — happens on your device. If you are offline, the tool still works after the page has loaded.
What image formats are supported?
JPG, PNG, WebP, GIF, BMP, and SVG — anything the browser can display in an img tag. HEIC files (Apple default iPhone format) are not supported by browsers without a conversion plugin; export as JPG or PNG first. Very large images (over 2000 px on the longest side) are automatically downscaled to keep the tool responsive; the downscale preserves colors, so the pick results are unaffected.
How accurate is the match?
The pixel color is read exactly from the image (no approximation at this step). The Pantone match is an approximation because Pantone is a physical ink standard — no screen color matches any Pantone ink exactly. We use Delta E 2000 for the match, which is the CIE standard for perceptual color difference. A match under ΔE 2 is very close; under 5 is close; over 10 is only loosely related. If the image is a photo of a Pantone chip, the match will be strong; if the image is a photo of a printed brand color, the match depends on lighting and printer accuracy in the original.
Can I use this for print specification?
Use it as a starting point, not a final spec. Identifying the "closest Pantone" to a photo pixel is a useful shortlist, but printed colors depend heavily on paper, ink, press, and lighting. If you are trying to reproduce a color from a photographed Pantone chip or a printed sample, always verify against a physical Pantone chip before committing to production.