Extract specific columns from CSV, TSV, and custom delimited files. Process data instantly with column selection, filtering, and export options.
Paste your delimited text data. The tool detects columns automatically.
Your extracted columns appear here.
Real-time data metrics and column preview.
Delimited text files organize data into rows and columns using separator characters. CSV files use commas. TSV files use tabs. Some systems use pipes, semicolons, or custom characters. These formats appear in spreadsheets, databases, logs, and data exports.
Extracting specific columns saves time when you need focused data sets. Instead of opening large files in spreadsheet software, you paste the data here, select columns by number or name, and get clean output. The tool handles header detection, whitespace trimming, and empty row removal automatically.
Data analysts use column extraction for reporting. Developers process log files. Researchers filter survey responses. Marketers clean email lists. Students organize research data. The process works the same way across these scenarios. You identify the delimiter, specify columns, and export results.
Column selection supports two methods. Number-based selection works when headers are missing or unreliable. You enter column positions like 1,3,5 to extract the first, third, and fifth columns. Name-based selection works when headers exist. You enter header names like Name,Email,Phone to extract matching columns.
Filtering options refine output further. Skip rows lets you ignore header sections or metadata at the top of files. Max rows limits processing to the first N data rows, useful for testing extraction settings before processing large files. Remove empty rows cleans output by dropping blank entries automatically.
Output formatting adapts to your needs. You can keep the original delimiter or change it. Some workflows require tab-separated output even when input uses commas. Others need newline-separated values for single-column lists. The tool supports these transformations without manual editing.
Copy delimited text from files, spreadsheets, or databases. The tool accepts CSV, TSV, and custom formats.
Select the delimiter type, choose columns to extract, and set filtering options like skip rows or max rows.
The tool parses data, identifies columns, and extracts selected fields based on your configuration.
Copy extracted data to clipboard, download as CSV, or share the tool link with your team.
Extract specific metrics from large datasets. Focus on relevant columns without loading entire files into memory.
Filter log files by extracting timestamp, error level, and message columns. Skip metadata rows automatically.
Transform data formats during migration. Extract columns, change delimiters, and prepare files for new systems.
The tool splits each line by the selected delimiter. Header detection identifies column names when enabled. Data rows separate from headers automatically.
Column selection matches numbers or names. The tool maps column indices, extracts matching fields, and preserves order from your specification.
Row filtering skips initial rows and limits output. Whitespace trimming cleans cell values. Empty row removal drops blank entries from results.
Output formatting applies the selected delimiter. Headers include when enabled. Results display in the output area ready for copying or downloading.
Common questions about extracting columns from delimited text files.
The tool supports commas, tabs, semicolons, pipes, spaces, and custom delimiters. Select the delimiter that matches your data format. The tool detects columns automatically based on your selection.
Enable the "First row has headers" option. Enter column names separated by commas in the "Columns to Extract" field. For example, enter "Name,Email,Phone" to extract those three columns.
Yes. Enter column numbers separated by commas. Use 1-based indexing, so the first column is 1, second is 2, and so on. For example, enter "1,3,5" to extract the first, third, and fifth columns.
If you leave the "Columns to Extract" field empty, the tool extracts all columns from your data. This is useful when you only need to change delimiters or apply filtering without column selection.
Skip rows ignores the first N rows from your input. Max rows limits processing to the first N data rows. These options help you test extraction settings or focus on specific data ranges without manual editing.
Yes. Select a different delimiter from the "Output Delimiter" dropdown. You can convert CSV to TSV, change to pipe-separated format, or use newline separation for single-column lists.
The tool can remove empty rows automatically when you enable the "Remove empty rows" option. Empty rows are rows where all extracted columns contain no data or only whitespace.
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