CSV to JPEG Converter

CSV (comma-separated values) is the lowest common denominator of tabular data: one table, rows as lines, columns separated by commas, everything plain text. Excel, Google Sheets, every database importer, every data-science library and every scripting language read it, which is why it has survived fifty years of format fashion.

Its weaknesses come from the same minimalism. There are no types (everything is a string until you decide otherwise), no formulas, one table per file, and dialect quirks are legendary: comma vs semicolon locales, quoting rules, and Excel's insistence on re-opening UTF-8 files without a BOM as mojibake. Clean, well-formed UTF-8 CSV with a BOM sidesteps nearly all of it.

JPG (short for JPEG, the Joint Photographic Experts Group committee that standardized it in 1992) has been the default photo format for over three decades. It compresses photographs using the discrete cosine transform: the image is split into 8×8 blocks, and details the human eye is bad at noticing are discarded. The result is files many times smaller than uncompressed data, at a quality level you control when saving.

In practice JPG is unbeatable for photographs and smooth gradients — camera memory cards, messaging apps and the web all assume it. It is a poor fit for screenshots, logos or anything with sharp edges and flat color, where compression leaves visible ringing around text. There is no transparency support, color depth is capped at 8 bits per channel, and every re-save with compression compounds tiny generational losses.