XML to CSV & CSV to XML Converter

Turn repeated XML records into rows

XML nests named elements to show relationships; CSV arranges values in rows and columns. Conversion works best when XML contains repeated records with similarly named child elements, such as several <row> entries containing name and city. The converter finds a repeated array in the XML structure, uses its objects as records, and writes their fields as CSV columns.

For the reverse direction, the first CSV row supplies field names and each later row becomes an XML row inside a root. A table with columns name,city and values Avery,Seattle therefore produces a row containing those two child elements. This is a practical reshaping step, not a lossless translation between two equivalent data models.

What the conversion keeps and reshapes

CSV has no built-in way to represent arbitrary nesting. XML-to-CSV takes the first repeated list it finds as the row collection, turns simple child values into cells, and does not carry element attributes into the output. Deeper objects may be serialized into a cell, arrays may be joined, and fields that vary across records may not form the table you expect.

CSV-to-XML makes element names from headers: whitespace and unsupported characters are replaced with underscores, and names that do not begin with a letter or underscore receive a field_ prefix. Empty values remain empty text. W3C XML rules require elements to be properly nested, and RFC 4180 documents common CSV quoting conventions while noting that implementations vary.

Convert a small sample and inspect its shape

1. Choose a direction

   Set the source to XML or CSV and paste the matching text. XML should be a well-formed document with a root element; CSV should have a header row followed by at least one data row.

2. Run the conversion

   The output updates from the input. XML-to-CSV uses comma-separated output. For CSV-to-XML, the parser detects the delimiter from the pasted data and writes rows under a root element.

3. Compare columns and values

   Check record count, header names, empty cells, and a few values against the source. If XML has several repeated collections or nested records, confirm that the chosen row list corresponds to the records you actually need.

Example: two sibling records containing <name>Avery</name> and <city>Seattle</city> become the header row name,city and one CSV row per record. CSV columns such as order id become valid element names with punctuation and spaces normalized, so compare the resulting tag spelling with any receiving system’s requirements.

Questions about structure and parsing

Check whether flattening is safe for your data

XML attributes, parent-child relationships, mixed text and nested lists cannot always fit in a flat table. Some complex child values become text in one cell and arrays can be joined, so a successful conversion does not prove every structural detail survived. CSV quoting and delimiter expectations also differ among applications. Preserve the original, test a representative sample in the destination, and avoid treating the output as a schema-preserving round trip.