1
Step 1
Paste your CSV text or upload a .csv file.
CSV to XML Online
Use NewTools to convert CSV to XML directly in your browser. Uses CSV headers as XML element names and builds a readable document.
Transform tabular CSV data into well-formed XML strings instantly and securely on your own device.
No installation
Fast processing
Browser friendly
Privacy-aware
Features
Local Browser Parsing: Your CSV text is parsed locally. It is never uploaded to an external server.
Flat XML Generation: Each CSV row is automatically converted into an <item> node containing child elements mapped from the CSV headers.
Instant Copy: Export the generated XML string directly to your clipboard or download it.
How It Works
2
Step 2
The parser maps the first row to XML tags.
3
Step 3
Copy or download the resulting XML document.
Common Use Cases
Database Exports to XML
Convert relational database CSV exports into an XML format suitable for ingestion by legacy SOAP APIs.
Product Feeds
Convert tabular product catalogs (CSV) into XML nodes often required by older e-commerce inventory systems.
Tips & Best Practices
Tip 1
Because CSV lacks hierarchical data, the resulting XML will be flat (a single root containing many <item> nodes).
Tip 2
Ensure your CSV does not contain special characters in the headers that would create invalid XML tags.
CSV to XML
Why convert CSV to XML?
CSV is excellent for flat spreadsheets, but many legacy systems, RSS feeds, and configuration files require XML. Converting the formats allows data to bridge these systems.
Understanding the Output
The converter automatically wraps your entire dataset in a <root> element, and each row becomes an <item> element containing its specific columns as child tags.
Frequently Asked Questions
Is my CSV uploaded anywhere?
No. The parsing and XML construction happen entirely on your local device.
How are headers mapped?
The first row of the CSV is used to name the child tags inside each <item> node.
Can I generate deeply nested XML?
No. A CSV is fundamentally flat, so the resulting XML will represent a flat list of records.