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Convert CSV (Comma-Separated Values) files to XML format with customizable root and row element names, attribute mapping, nested structure options, header row handling, and validation for data transformation and XML-based data exchange.
Note: AI can make mistakes, so please double-check it.
Paste CSV content or upload a file
Common questions about this tool
Paste your CSV data or upload a CSV file into the converter. The tool automatically detects headers and converts each row to XML elements. You can customize root element names and structure to match your XML schema requirements.
Yes, you can customize root element names, row element names, and choose whether to use attributes or nested elements. This lets you create XML that matches specific schemas or requirements for your application.
The converter uses the first row as column headers and creates XML element names from them. Headers are cleaned (spaces to underscores, special characters handled) to create valid XML element names.
Yes, the converter handles CSV files of various sizes. For very large files, it processes data efficiently. However, XML output is typically larger than CSV, so consider file size when converting large datasets.
Use the XML to CSV Converter tool to convert XML data back to CSV format. It extracts data from XML elements and creates a CSV file with proper column headers and row data.
Verified content & sources
This tool's content and its supporting explanations have been created and reviewed by subject-matter experts. Calculations and logic are based on established research sources.
Scope: interactive tool, explanatory content, and related articles.
ToolGrid — Product & Engineering
Leads product strategy, technical architecture, and implementation of the core platform that powers ToolGrid calculators.
ToolGrid — Research & Content
Conducts research, designs calculation methodologies, and produces explanatory content to ensure accurate, practical, and trustworthy tool outputs.
Based on 2 research sources:
Learn what this tool does, when to use it, and how it fits into your workflow.
This tool converts CSV data into XML. You paste CSV text or upload a CSV or TXT file. The tool reads the first row as headers and each following row as a record. You set a root element name and an item element name, and you map each CSV column to an XML tag either as a child element or as an attribute. The tool then builds XML and lets you copy it or download it as a file. So you go from table-style data to structured XML.
CSV is common for spreadsheets and exports. XML is common for configs, feeds, and APIs. You may have data in CSV and need it in XML for another system. Doing it by hand is slow and easy to get wrong. This tool parses the CSV, uses the first row as column names, and turns each row into an XML item. You can choose the root and item tag names and whether each column becomes an element or an attribute. So you can match the XML shape your system expects.
The tool is for developers and anyone who needs to move data from CSV to XML. You do not need to be an expert. You provide the CSV, adjust the schema and mapping if needed, and copy or download the XML. An optional Suggest button may fill in root name, item name, and mappings from your headers and a sample of rows; that feature can fail and you can always set everything by hand.
CSV is text with rows and columns. The first row is often the header: the names of the columns. Each later row is one record. Values are separated by a delimiter (comma, semicolon, tab, or pipe). This tool parses the CSV and treats the first row as headers. It then turns each data row into one XML item. A root element wraps all items. Each item has either child elements (one per column) or attributes (one per column), or a mix: you choose per column whether it is an element or an attribute. A related operation involves converting CSV to JSON as part of a similar workflow.
XML tag names must follow rules. They cannot start with a number. They should not contain spaces or special characters. This tool converts header names and your custom names into valid XML names: spaces become underscores, invalid characters are removed, a leading number gets an underscore prefix, and the name is limited in length. So the output uses safe tag names even if your CSV headers have spaces or symbols.
Values in XML must escape special characters. The tool escapes ampersand, less than, greater than, double quote, and single quote so the output is valid XML. Empty or missing CSV cells become empty strings in the XML. So the output is well-formed and safe to use.
People struggle when they convert by hand. They miss rows or columns. They use wrong tag names or forget to escape. This tool parses the CSV once, builds the XML from your mapping, and lets you copy or download. You can enable or disable columns and switch between element and attribute per column. So you control the structure and get valid XML. For adjacent tasks, converting JSON to XML addresses a complementary step.
You have a CSV export from a spreadsheet. You upload the file or paste the content. The tool parses it and shows the default mapping (each column as an element with a slugified header name). You check the preview. You change the root name to match your schema (for example catalog) and the item name (for example product). You click Download to save the XML file.
You need some columns as attributes and some as elements. You open the Column Mapping table. For each column you choose Element or Attribute from the dropdown. Attributes appear on the item tag; elements appear as child tags. You click Copy and paste the XML into your config or API payload.
Your CSV has headers with spaces or special characters. The tool slugifies them so the XML tag names are valid. You can edit any tag name in the mapping; the tool slugifies your input. So the output always has safe tag names. When working with related formats, converting JSON to CSV can be a useful part of the process.
You want a quick starting point for the schema. You click Suggest. If the service responds the root name, item name, and mappings are filled in. You adjust any mapping (enable or disable columns, change element to attribute) and then copy or download.
You have a very large CSV. You paste or upload it. If it has more than 100,000 rows the tool shows a message and converts only the first 100,000 rows. You download or copy that XML. For more rows you would need to split the CSV or use another tool.
The tool parses CSV with the first row as headers. It uses a parser that accepts comma, semicolon, tab, or pipe as delimiter and trims headers and cell values. Empty lines are skipped. Each data row becomes an object: keys are the headers, values are the cell strings. Only enabled mappings with a non-empty CSV header are used. For each row the tool builds one item element. For each mapping with type attribute it adds an attribute to the item tag; the attribute name is the sanitized XML tag name and the value is the cell value with XML special characters escaped. For each mapping with type element it adds a child element; the tag name is sanitized and the content is the escaped cell value. In some workflows, converting XML to JSON is a relevant follow-up operation.
Tag names are sanitized: invalid characters (other than letters, digits, underscore, hyphen, colon, dot) are replaced by underscore; a leading digit gets an underscore prefix; the result is truncated to a maximum length. So every tag name in the output is valid in XML. Values are escaped: ampersand to &, less than to <, greater than to >, double quote to ", single quote to '. So the output is well-formed XML.
The XML declaration is . The root element wraps all item elements. Each item can have attributes and child elements in the order given by the mapping list. So the structure is consistent and predictable.
| Limit | Value |
|---|---|
| Max input size (pasted or file content) | 5 MB |
| Max file size (upload) | 10 MB |
| Max rows processed | 100,000 |
| Max columns | 1,000 |
| Option | Effect |
|---|---|
| Element | Column becomes a child tag: <tagName>value</tagName> |
| Attribute | Column becomes an attribute on the item tag: tagName="value" |
Accepted file types: .csv, .txt, or text/csv. First row is used as headers. Tag names are derived from headers or your input and sanitized (spaces to underscores, invalid chars removed, length limited). For related processing needs, converting JSON to YAML handles a complementary task.
Ensure your CSV has a header row. The tool uses the first row as column names. If the first row is data you will get wrong or generic names. Use a delimiter the tool can guess (comma, semicolon, tab, or pipe). If parsing fails check for mixed delimiters or broken quotes.
Keep the input under 5 MB and the file under 10 MB. If you have more than 100,000 rows only the first 100,000 are converted and you see a message. For very large data split the file or use a script. The tool allows up to 1000 columns; more columns trigger an error.
Use Element for values that may be long or contain line breaks. Use Attribute for short, simple values if you want a compact item tag. You can mix: some columns as attributes, some as elements. Disable columns you do not need in the XML to keep the output small.
Edit the XML tag names if your system expects specific names. The tool slugifies what you type so you get valid names. Avoid leaving a column enabled with an empty tag name; the tool falls back to a default but the result may not match your schema.
Suggest is optional and can fail. If it fails the tool does not show an error; you just keep the current or default mapping. You can always set root name, item name, and each column mapping by hand. Copy and Download work whenever the preview shows XML.
Reset clears all input and config. If you upload a new file after that the tool parses it and builds new default mappings from the new headers. Download uses the current root name in the file name; change the root name before downloading if you want a different file name.
We’ll add articles and guides here soon. Check back for tips and best practices.
Summary: Convert CSV (Comma-Separated Values) files to XML format with customizable root and row element names, attribute mapping, nested structure options, header row handling, and validation for data transformation and XML-based data exchange.