Extract Text From Toolv1.0.0

Paste any marked-up or structured content into the source field and receive clean plain text with all formatting codes, tags, and data delimiters removed. Seven input formats are supported: HTML, BBCode, JSON, CSV, XML, Markdown, and YAML. An auto-detection mode examines the input and selects the correct parser without manual intervention.

• Select an Input Format from the dropdown or leave it set to Auto-Detect. Auto-detection looks for signature patterns such as angle brackets for HTML and XML, square-bracket tags for BBCode, curly braces or square brackets at the start for JSON, front-matter fences for YAML, hash-prefixed headings for Markdown, and comma-separated values for CSV.
• Paste or type the source content into the Source Text field. The tool accepts content of any length and processes it entirely in the browser with no server round-trip.
• Click the Extract button or wait for automatic extraction, which triggers after a brief typing pause of 500 milliseconds. The cleaned output appears in the Extracted Text field along with character, word, and line statistics below it.
• Click Copy Output to copy the extracted text to the clipboard for immediate use in another application.
• Open Settings to fine-tune the extraction behavior. Toggle Preserve line breaks to keep or collapse newlines from the source content. Enable Trim extra whitespace to condense runs of spaces and tabs into a single space. Check Decode HTML entities to convert character references such as &, <, and ' back to their literal characters.
• Click Reset to clear all fields, remove saved state, and restore every option to its default value.

Each parser targets the structural elements unique to its format. The HTML and XML parsers strip all tags and optionally decode character entities. The BBCode parser removes bracket-delimited tags including nested constructs such as [url=...]...[/url] and [color=...]...[/color]. The JSON parser walks the data tree recursively and collects every string value, skipping keys, numbers, booleans, and null entries. The CSV parser splits rows by newlines and cells by commas, then joins the cell values into readable text. The Markdown parser removes heading markers, emphasis markers, link and image syntax, code fences, blockquote prefixes, and horizontal rules. The YAML parser extracts scalar string values from key-value pairs and list items, ignoring structural indicators such as colons, dashes, and indentation.

Extracting plain text from formatted sources is a frequent step in content migration, data cleaning, analysis pipelines, and accessibility workflows. The scenarios below illustrate specific situations where removing markup or data formatting produces immediately useful output.

• Content migration: Move forum posts written in BBCode to a platform that accepts only plain text or a different markup language. Strip the BBCode tags first, then reformat as needed for the destination system.
• Web scraping cleanup: After copying content from a web page, remove residual HTML tags, inline styles, and entity references to obtain a clean text version suitable for spreadsheets or documents.
• API response inspection: Paste a JSON API response and extract only the human-readable string values, filtering out keys, numeric identifiers, and boolean flags that clutter manual review.
• CSV data review: Import a CSV export from a database or analytics platform and flatten it into readable text to scan the content without opening a spreadsheet application.
• Documentation conversion: Strip Markdown formatting from README files, wiki pages, or technical documentation to produce plain text copies for email distribution or plain-text archives.
• Configuration auditing: Extract the human-readable values from YAML configuration files to review settings in a flat text format without the structural indentation and key hierarchy.
• XML feed processing: Pull the textual content from RSS feeds, SOAP responses, or XML data exports, discarding the element tags and namespace declarations that surround each value.
• Accessibility testing: Verify that the visible text content of an HTML page reads coherently when all markup is removed, simulating how a text-only browser presents the content.