What format is the CSV output?

The CSV includes a header row followed by one row per pixel. With coordinates enabled, columns are: x, y, r, g, b (RGB mode) or x, y, gray (grayscale mode). Without coordinates, just the color values are included.

How large will the CSV file be?

File size depends on image dimensions. A 1000x1000 image produces 1 million rows. Use the downsample factor to reduce size - a factor of 2 reduces rows to 1/4, factor of 10 reduces to 1/100.

Can I use this for machine learning datasets?

Yes! The CSV output is perfect for ML training data. You can import it into Python with pandas, process it with NumPy, or use it with any ML framework that accepts tabular data.

What's the difference between RGB and grayscale modes?

RGB mode exports three values per pixel (red, green, blue), each ranging 0-255. Grayscale mode calculates a single intensity value using the standard luminance formula (0.299R + 0.587G + 0.114B).

Is my image data secure?

Absolutely. All image processing happens locally in your browser. Your images never leave your device or get uploaded to any server, ensuring complete privacy and security.

Can I convert PNG or other formats?

This tool is specifically designed for JPG/JPEG images. For other formats, consider our image converter tool to first convert to JPG, or look for format-specific converters.

JPG to CSV Converter

Extract pixel data from JPG images and export as CSV format for data analysis and spreadsheet processing. Perfect for image analysis, machine learning datasets, and scientific research.

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Supports: JPG, JPEG

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Extract pixel data from images as CSV, JSON, XML, and Excel formats. Convert image color values to structured data for analysis, machine learning, and scientific research.

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