JPG to CSV Converter

Pixel Data Mode

Extracts information about individual pixels from the image. Each row in the CSV represents a single pixel, with data including:

• Pixel coordinates (x, y position)
• RGB color values (red, green, blue components)
• Optional HSL values (hue, saturation, lightness)
• Hexadecimal color codes

For large images, you can adjust the sampling rate to extract data from every Nth pixel, creating a more manageable dataset while maintaining representative information.

Color Analysis Mode

Analyzes the color distribution in the image, counting occurrences of each unique color and providing detailed information about color frequency and characteristics:

• RGB and optional HSL values for each unique color
• Pixel count and percentage for each color
• Luminance value for brightness measurement
• Brightness category (dark, mid-tone, light, very-light)
• Option to limit output to most frequent colors

This mode is excellent for extracting color palettes from photos, analyzing color schemes in artwork, or identifying dominant colors in an image.

Metadata Mode

Extracts overall information about the image, including:

• Image dimensions (width, height) and aspect ratio
• Average color values in RGB, HSL, and hexadecimal formats
• Average luminance and predominant tone category
• Brightness distribution histogram (percentage of pixels in each brightness range)
• EXIF data (when available): camera make/model, exposure settings, date/time, etc.

Metadata mode provides a comprehensive overview of the image's technical properties and overall color characteristics without the detailed pixel-by-pixel information.

What's the difference between RGB and HSL color values?

RGB (Red, Green, Blue) is an additive color model used in digital displays where colors are created by combining different intensities of red, green, and blue light. Each value typically ranges from 0-255.

HSL (Hue, Saturation, Lightness) is a more intuitive color model that represents colors based on their visual appearance. Hue is the actual color (0-360 degrees around the color wheel), Saturation is the intensity or purity (0-100%), and Lightness determines how light or dark the color is (0-100%). HSL can be more useful for color theory analysis and adjustments.

How can I handle very large images?

For large images, we recommend increasing the pixel sampling rate in Pixel Data mode. This extracts data from every Nth pixel rather than every pixel, significantly reducing processing time and output file size while still providing representative data.

Alternatively, you can use the Color Analysis mode with "Unique Colors" set to a reasonable limit (like 100-200) to focus on the most important colors without processing every pixel individually.

What EXIF data can be extracted?

EXIF (Exchangeable Image File Format) data can include camera make and model, date and time the photo was taken, exposure settings (shutter speed, aperture, ISO), focal length, flash information, and sometimes GPS coordinates.

It's important to note that browser-based processing has limitations regarding EXIF extraction. If complete EXIF data is critical for your analysis, consider using specialized desktop software. Our tool provides basic EXIF information when available.

Can I analyze multiple images at once?

Currently, our tool processes one image at a time. For batch processing of multiple images, you can:

1. Process each image individually and download separate CSV files.
2. Use the downloaded CSV files in your preferred data analysis tool for comparative analysis.
3. Consider using desktop software or custom scripts for batch processing large image collections.

Is my image data private and secure?

Yes, all processing happens directly in your browser using client-side JavaScript. Your images are never uploaded to our servers, ensuring complete privacy and security for your photos and their metadata.