What Is CSV?
Learn why CSV is still the universal bridge format for import/export, migration, and lightweight data processing.
Original source title: CSV 是什么
Section 1
CSV stands for Comma-Separated Values. It is one of the simplest formats for storing tabular data: each line represents a record, each column represents a field, and values are usually separated by commas. Because the structure is so simple, CSV became one of the most common formats for data exchange. People encounter it when exporting data from Excel, downloading reports from business systems, migrating user lists, processing order records, or working with large batches of structured information.
Section 2
One of CSV’s biggest strengths is that it is lightweight and widely supported. Unlike Excel’s richer file formats, CSV can be read by almost any programming language, database, script, spreadsheet program, or data platform. Python, Java, PHP, Node.js, reporting tools, import pipelines, and analytics systems all tend to understand CSV easily. That is because CSV focuses on plain structured data rather than formulas, charts, multiple sheets, or detailed styling. It works extremely well as a bridge between systems.
Section 3
But CSV’s simplicity also creates limitations. It usually does not preserve formatting such as fonts, colors, merged cells, or formulas. If a spreadsheet was carefully styled in Excel, exporting it to CSV will strip most of that presentation away. CSV files can also differ in encoding, delimiter choice, line breaks, and quote handling. That is why users sometimes open a CSV file and think the data is broken when the real problem is the wrong encoding, the wrong separator, or incorrect parsing rules.
Section 4
For tool sites, CSV workflows are much more than simply opening a file. Users often need to repair encoding, clean fields, remove duplicates, split columns, convert CSV to JSON, or convert CSV to Excel. The most useful explanation of CSV therefore is not just “a comma-separated text file.” It is that CSV acts like a portable container for structured data, not a styled document format. Once users understand that, it becomes much clearer why formatting disappears after conversion and why CSV processing tools are so common.