Extract plain text from HTML, JSON, XML, and Markdown formats. Remove tags and markup to get clean, readable text content.
A text extractor is an essential utility tool that removes markup, tags, and formatting from structured content to reveal the underlying plain text. Whether you're working with HTML web pages, JSON data structures, XML documents, or Markdown files, extracting clean text is a common task in web development, content management, data processing, and text analysis.
Our free online text extractor simplifies this process by automatically parsing various formats and extracting readable text content. Instead of manually removing tags or writing complex parsing scripts, you can paste your content and get clean text output instantly. This tool is particularly valuable when you need to extract text for content analysis, data migration, text processing, or when preparing content for plain text formats.
Text extraction is fundamental to many development and content workflows. When working with structured formats like HTML, JSON, or XML, the actual text content is often buried within tags, attributes, and markup syntax. Manually extracting text is time-consuming, error-prone, and impractical for large documents or automated processes.
A text extractor automates this process, saving hours of manual work and ensuring consistent, accurate results. It's especially useful when migrating content between systems, analyzing text data, preparing content for search indexing, or when you need plain text versions of formatted documents. The tool handles edge cases, nested structures, and various formatting scenarios that would be tedious to process manually.
HTML text extraction removes all HTML tags, scripts, styles, and markup to reveal the readable text content. This is essential when you need plain text from web pages, HTML emails, or HTML documents. The extractor handles nested tags, removes script and style blocks, decodes HTML entities, and can preserve or normalize whitespace based on your preferences.
Common use cases include extracting article content from web pages, cleaning HTML emails for text analysis, preparing content for plain text versions, and extracting text for search indexing or content migration.
JSON text extraction parses JSON structures and extracts all string values, creating a clean list of text content. This is useful when you need to extract human-readable text from JSON data structures, API responses, or configuration files. The extractor navigates nested objects and arrays, collecting all string values while ignoring structural elements.
This is particularly valuable for extracting user-generated content, comments, descriptions, or any text data stored in JSON format. It's commonly used in data analysis, content migration, and when preparing JSON data for text processing or search indexing.
XML text extraction removes XML tags and attributes, extracting the text content from XML documents. Similar to HTML extraction, it handles nested elements, decodes XML entities, and can preserve document structure or flatten it to plain text. This is essential when working with XML data feeds, configuration files, or structured documents.
Use cases include extracting text from RSS feeds, XML-based content management systems, configuration files, and when converting XML documents to plain text formats for analysis or processing.
Markdown text extraction removes Markdown syntax while preserving the readable text content. It strips headers, bold/italic markers, links, images, code blocks, lists, and other Markdown formatting to reveal plain text. This is useful when you need plain text versions of Markdown documents or when preparing Markdown content for text analysis.
Common scenarios include converting Markdown documentation to plain text, extracting content from Markdown files for analysis, preparing Markdown content for plain text emails or messages, and when migrating Markdown content to systems that don't support Markdown formatting.
Text extraction involves parsing structured formats and identifying text content while ignoring markup and structural elements. The process varies by format:
The extraction process handles edge cases like nested structures, escaped characters, entities, and various formatting scenarios. Options allow you to control whitespace preservation and empty line removal based on your specific needs.
Text extraction processes content client-side in your browser, ensuring privacy and fast processing. The tool handles standard HTML entities, common Markdown syntax, and standard JSON/XML structures. For complex or non-standard formats, you may need to preprocess content or use specialized extraction tools.
The extraction preserves text content while removing structural elements. Scripts, styles, and metadata are automatically excluded. For JSON extraction, only string values are extracted, while numeric values, booleans, and null values are ignored to focus on human-readable text content.
This tool focuses on HTML, JSON, XML, and Markdown formats. For PDF extraction, you would need specialized PDF text extraction tools.
You can choose to preserve whitespace, but most formatting (bold, italic, colors, etc.) is removed to produce plain text. The tool focuses on extracting readable text content.
Yes, the JSON extractor recursively navigates nested objects and arrays to extract all string values, regardless of nesting depth.
HTML entities like , <, > are automatically decoded to their character equivalents (spaces, <, >) in the extracted text.
Yes, all processing happens client-side in your browser. Your content never leaves your device, ensuring complete privacy and security.