Paste your MediaWiki Table data or drag MediaWiki files here

.mediawiki , .wiki , .txt

Online Table Editor

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Table Generator

How to Quickly Convert MediaWiki Table to CSV Online Format?

1. Upload, paste, or extract MediaWiki Table from web pages with multiple input methods supported

Paste MediaWiki table code or upload wiki source files. The tool parses wiki markup syntax and extracts table data, supporting complex wiki syntax and template processing.

2. Modify MediaWiki Table using our professional online table editor

Edit data using our professional online table editor. Supports deleting empty row data, removing duplicate rows, transposing data, sorting by rows, regex find & replace, and real-time preview. All changes will automatically convert to CSV format with simple and efficient operation and precise reliable results.

3. Copy or download CSV with multiple export options supported

Generate standard CSV format files with support for custom delimiters, quote styles, encoding formats, and BOM mark settings. Ensures perfect compatibility with target systems, providing download and compression options to meet enterprise-level data processing needs.

Note: Our online conversion tool uses advanced data processing technology, runs completely in the browser, ensures data security and privacy, and does not store any user data.

What is MediaWiki format and its application scenarios?

.mediawiki .wiki .txt

MediaWiki is the open-source software platform used by famous wiki sites like Wikipedia. Its table syntax is concise yet powerful, supporting table style customization, sorting functionality, and link embedding. Widely used in knowledge management, collaborative editing, and content management systems, serving as core technology for building wiki encyclopedias and knowledge bases.

What is CSV format and its application scenarios?

.csv .tsv

CSV (Comma-Separated Values) is the most widely used data exchange format, perfectly supported by Excel, Google Sheets, database systems, and various data analysis tools. Its simple structure and strong compatibility make it the standard format for data migration, batch import/export, and cross-platform data exchange, widely used in business analysis, data science, and system integration.

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