XML to CSV Converter
Convert XML documents to CSV with dual flattening modes (denormalization and indexed columns), attribute-to-column mapping, and table preview. Entirely client-side.
How to Use
Converting XML documents to CSV bridges the gap between hierarchical markup and flat tabular data. CSV is the universal data interchange format supported by Excel, Google Sheets, databases, and data analysis tools. Here is how to use this converter:
- Paste your XML into the input area. The tool accepts any well-formed XML document with repeating record elements — product catalogs, API responses, configuration exports, RSS feeds, and custom schemas.
- Review the auto-detected record tag. The converter identifies the repeating element that maps to rows (for example,
<product>inside<products>). Override this in the Record Tag field if needed. - Choose a flattening mode. Denormalize mode creates multiple rows when a record contains arrays, repeating parent data for each item — ideal for database imports. Indexed mode creates numbered columns like
item_0,item_1to keep one row per record — better for spreadsheet viewing. - Configure the delimiter and attribute handling. Choose comma, tab, semicolon, or pipe as your delimiter. Enable or disable XML attribute mapping and set the attribute prefix character.
- Preview and export. Switch between Raw CSV and Table Preview to inspect the output. Copy to clipboard or download as a
.csvfile.
Understanding the Two Flattening Modes
XML's hierarchical structure does not map directly to CSV's flat rows and columns. The flattening mode determines how nested and repeated elements are handled:
- Denormalization follows the relational database approach. If a
<customer>has three<order>children, the converter produces three CSV rows — one per order — with customer fields repeated on each row. This creates a fully normalized dataset ready for SQL import or pivot table analysis. - Indexed Columns preserves one row per record by expanding arrays into numbered column headers. Those same three orders become
order_0.id,order_1.id,order_2.idcolumns in a single row. This is more compact and works well when you need to see all data for a record at a glance in a spreadsheet.
Dot Notation for Nested Elements
Nested XML elements are flattened using dot notation in column headers. An element path like <product><specs><weight> becomes the column header specs.weight. This preserves the original hierarchy while fitting into CSV's flat format, making it clear which parent element each value belongs to.
About This Tool
How the XML to CSV Converter Works
This converter uses a three-stage pipeline to transform XML into CSV. First, the browser's native DOMParser API parses the XML string into a Document Object Model (DOM) tree. The DOMParser is the same engine browsers use for XHTML, SVG, and MathML — it handles well-formed XML of any complexity including namespace declarations, processing instructions, and CDATA sections.
Second, a recursive flattener walks each record element's subtree, producing flat key-value objects. It resolves nested elements into dot-notation column headers, maps XML attributes to prefixed columns, and handles array expansion according to the chosen flattening mode. The algorithm tracks child element counts at each level to distinguish single children from arrays.
Third, the flat records are serialized to CSV following RFC 4180. Fields containing the delimiter character, double quotes, or newlines are enclosed in double quotes. Double quote characters within field values are escaped by doubling them. This ensures the output is compatible with every CSV parser and spreadsheet application.
Attribute-to-Column Mapping
XML attributes carry metadata that is often critical for data analysis — IDs, types, categories, currencies, and units. This converter maps attributes to CSV columns using a configurable prefix (default @). For example, <price currency="USD">29.99</price> produces two columns: price with value 29.99 and price.@currency with value USD. The prefix distinguishes attribute-derived columns from element-derived columns, preventing name collisions.
Auto-Detection of Record Elements
The converter automatically identifies the repeating element that represents data records by counting child elements under the root and selecting the most common tag name. For a structure like <orders><order>...</order></orders>, it detects order as the record element. You can always override this detection in the Record Tag field for documents with unusual structures.
Why Use This Tool
When to Convert XML to CSV
XML to CSV conversion is essential whenever you need to move hierarchical XML data into flat tabular formats for analysis, import, or integration:
- Spreadsheet analysis — Excel, Google Sheets, and LibreOffice Calc all import CSV natively. Converting XML product catalogs, financial reports, or scientific datasets to CSV enables pivot tables, charts, and formula-based analysis without writing any code.
- Database imports — SQL databases like PostgreSQL, MySQL, and SQLite support CSV bulk import (COPY, LOAD DATA INFILE). The denormalize mode produces fully relational rows ready for direct table insertion, saving hours of ETL scripting.
- Data pipeline integration — ETL tools (Apache NiFi, Talend, dbt), data warehouses (Snowflake, BigQuery, Redshift), and BI platforms (Tableau, Power BI) all treat CSV as a first-class data source. Converting XML API responses or exports to CSV feeds these pipelines directly.
- Legacy system migration — Many enterprise systems export data in XML format — SAP, Oracle EBS, Salesforce bulk exports, and healthcare HL7 messages. CSV is the bridge format for migrating this data into modern systems, cloud storage, or data lakes.
- Data science workflows — Python pandas, R data.frames, and Julia DataFrames all have efficient CSV readers. Converting XML datasets to CSV enables direct loading with
pd.read_csv()orread.csv()for statistical analysis and machine learning.
Privacy and Security
This converter runs entirely in your browser using the native DOMParser API. No XML data is transmitted to any server, stored remotely, or logged. The conversion happens in-memory within your browser tab and is discarded when you close the page. This makes it safe for converting XML documents containing proprietary data, financial records, customer information, healthcare data, or any content subject to GDPR, HIPAA, or other compliance regulations.