Extract Text from XML

Normalize XML documents by isolating text nodes and stripping markup. Recursive logic handles deep nesting and large datasets using strict RFC standards.

XML Input

Paste your XML document here. The tool extracts readable text content inside XML tags.

Extracted text:

Please configure parameters and execute the action.

About Extract Text from XML

Extract Text from XML is a fast XML text extractor that pulls text from XML tag content. Use it to inspect data payloads, clean XML feeds, and convert structured XML documents into readable plain text lines.

How It Works

Use the tool in three simple steps:

Paste XML code - Add the XML document you want to process.
Click Extract - The tool parses XML tags and extracts text nodes.
Copy result - Copy extracted plain text from the result area.

Basic Examples

Simple XML

Input:
<root><name>Alice</name><city>Berlin</city></root>

Output:
Alice
Berlin

Nested elements

Input:
<book><title>Guide</title><author><first>Tom</first><last>Lee</last></author></book>

Output:
Guide
Tom
Lee

CDATA content

Input:
<data><msg><![CDATA[Hello XML]]></msg><id>42</id></data>

Output:
Hello XML
42

Real-World Usage Scenarios

Content Migration - Legacy CMS Exports - When migrating data from older content management systems that export in XML, use this tool to strip away thousands of tags and retrieve the actual article body or descriptions for manual review or re-importing into simplified databases.
SEO Audit - Sitemap Analysis - Extract page titles or localized URLs from large sitemap.xml files. This allows SEO specialists to quickly paste a complex sitemap and get a clean list of strings to verify naming conventions or check for missing entries.
Developer Debugging - API Response Inspection - Simplify the process of reading deeply nested SOAP or XML API responses. Instead of squinting at bracket-heavy code, extract the raw text content to verify the data payload values without the visual noise of the schema.
NLP Data Preparation - Text Cleaning - Clean XML-formatted datasets for Natural Language Processing (NLP) or machine learning models. Quickly convert structured documents into a flat text stream required for training sets or sentiment analysis.

Frequently Asked Questions

Does this tool extract attributes from XML tags?

No, the tool specifically targets the text nodes located between the opening and closing tags. It ignores attribute values inside the tags themselves to provide a clean text output.

How are nested XML elements handled?

The parser traverses the entire tree structure. If an element contains other elements, the tool extracts the text from all children and presents them as a flattened list of text entries.

Is my XML data stored on a server?

Processing happens entirely within your web browser. Your XML input is never uploaded to a server, ensuring that sensitive data payloads or proprietary configurations remain private.

Does the extractor support CDATA sections?

Yes. Any content wrapped in CDATA tags is treated as literal text and will be included in the extraction result exactly as it appears.

Text Tools

Other tools you might like

Write Text in Cursive

Map Latin characters to Unicode cursive glyphs. The logic handles Mathematical Alphanumeric exceptions to ensure cross-platform compatibility and parsing.

Visualize Text Structure

Parse string architecture into vector graphics. Map tokens, whitespace, and punctuation to distinct hex layers. Export precise SVG schematics for analysis.

Unwrap Text Lines

Parse and sanitize string buffers by mapping hard breaks to custom separators. Employs paragraph-aware logic to maintain semantic data integrity.

Undo Zalgo Text Effect

Parse corrupted strings to strip non-spacing marks. Normalize Unicode input by removing recursive combining characters. Restore data integrity now.

Sort Symbols in Text

Parse and normalize character sequences via Unicode point values. Sanitize strings using skip lists, case logic, and duplicate removal for clean datasets.

Rotate Text

Shift characters cyclically across strings. Map offsets to reformat multiline structures with line-by-line logic. Normalize text for data schemas.

ROT47 Text

Shift printable ASCII characters by 47 positions to obfuscate sensitive strings. Implement symmetric mapping for range 33-126 to ensure data integrity.

ROT13 Text

Parse and shift alphabetic characters 13 positions. Maintain case sensitivity and non-letter integrity for spoiler protection or data obfuscation.

Rewrite Text

Sanitize datasets with custom mapping and whole-word logic. Apply recursive double-pass processing to clean whitespace. Normalize your data structure.

Replace Words with Digits

Normalize datasets by mapping verbal numbers to digits. Sanitize text with case-sensitive matching and whole-word logic for secure data ingestion.

Replace Text Vowels

Map specific vowel patterns using custom substitution logic. Supports case-sensitive matching and secondary passes to sanitize or obfuscate string data.

Replace Text Spaces

Normalize datasets by converting tabs, newlines, and spaces into custom symbols. Collapse whitespace clusters to ensure strict character counts.

Replace Text Letters

Normalize strings using custom character rules. Execute case-sensitive matching and recursive replacement passes to ensure data integrity. Export clean results.

Replace Text Consonants

Map consonants to custom characters using iterative substitution rules. Sanitize strings with case-sensitive precision for technical datasets and linguistics.

Replace Line Breaks in Text

Sanitize raw data by mapping CRLF sequences to custom delimiters. Collapse repeated breaks and trim whitespace to ensure valid dataset parsing.

Replace Digits with Words

Map numeric sequences to cardinal words. Parse standalone digits or specific patterns. Optimized for TTS data prep and document sanitization logic.

Replace Commas in Text

Parse and reformat datasets by mapping commas to custom symbols. Logic-aware processing preserves numeric separators while collapsing redundant clusters.

Remove Text Letters

Parse raw strings to eliminate specific character sets. This utility handles case-sensitive matching and collapses redundant whitespace for clean datasets.

Remove Text Font

Sanitize stylized Unicode glyphs into standard Latin script. Parse decorative fonts for screen reader accessibility and database safety [UTF-8].

Remove Quotes from Words

Strip leading and trailing quotation marks from individual words. Recursive logic handles nested delimiters in SQL, JSON, and CSV datasets efficiently.