Free online CSV column appender. Just upload your CSV file in the form below, paste the new column in the options, and it will automatically get added after the last column of your CSV. In the tool options, you can also enter more than one column, as well as filter the input data, and remove comments and empty lines. Created by programmers from team Browserling.
Free online CSV column appender. Just upload your CSV file in the form below, paste the new column in the options, and it will automatically get added after the last column of your CSV. In the tool options, you can also enter more than one column, as well as filter the input data, and remove comments and empty lines. Created by programmers from team Browserling.
This tool appends an additional column at the end of existing CSV data. It places the new column on the right, preserving the original input CSV columns on the left. You can input the new column (or multiple columns) in the "Columns to Append" section of the tool's options. The new column should have as many records as the original CSV file. If you're adding multiple columns, then they should have the standard comma-separated CSV format. This program also allows you to manage missing data fields if CSV data is incomplete. Specifically, you can choose to ignore missing fields, delete rows with missing fields, fill missing fields with empty values, or fill missing fields with custom values. You can select the preferred mode from the list in the options, and also specify the custom field value to use. Additionally, the utility allows you to clean up the input CSV from unnecessary data rows. In particular, you can remove comment lines by specifying the symbol that starts a comment and get rid of blank lines that don't contain anything. If you want to add a new column in a different position, you can use our Insert CSV Columns tool, and to quickly prepend a column to the beginning of the data, you can use our Prepend CSV Columns tool. Csv-abulous!
This tool appends an additional column at the end of existing CSV data. It places the new column on the right, preserving the original input CSV columns on the left. You can input the new column (or multiple columns) in the "Columns to Append" section of the tool's options. The new column should have as many records as the original CSV file. If you're adding multiple columns, then they should have the standard comma-separated CSV format. This program also allows you to manage missing data fields if CSV data is incomplete. Specifically, you can choose to ignore missing fields, delete rows with missing fields, fill missing fields with empty values, or fill missing fields with custom values. You can select the preferred mode from the list in the options, and also specify the custom field value to use. Additionally, the utility allows you to clean up the input CSV from unnecessary data rows. In particular, you can remove comment lines by specifying the symbol that starts a comment and get rid of blank lines that don't contain anything. If you want to add a new column in a different position, you can use our Insert CSV Columns tool, and to quickly prepend a column to the beginning of the data, you can use our Prepend CSV Columns tool. Csv-abulous!
In this example, we enhance a CSV dataset containing detailed information about planets and their distances from the Sun (in astronomical units) by adding a new column on the right side. We paste the new "day_length" column in the options, which provides valuable information about the length of day of each planet. The program then appends this new column to the end of the CSV dataset, preserving its original comma-separated structure.
In this example, we load a CSV file containing data about dog breeds and their sizes. After analyzing the file, we realize it lacks two additional data columns – their temperament and life span. Therefore, in the options, we enter two columns with the headers "temperament" and "life_span" and append them to the end of the existing CSV data.
In this example, we add the "playing_time" column to a CSV file containing data about board games. The input CSV already has two columns: "game" and "number_of_players", so the new column becomes the third one. By using the "Clean Up Comment Lines" and "Clean Up Blank Lines" options, we get rid of unnecessary lines and tidy up the input data. Additionally, since the last game in the list lacks a "playing_time" value, we fill the missing value with a custom value "XXmin", which we specify in the options.
You can pass input to this tool via ?input query argument and it will automatically compute output. Here's how to type it in your browser's address bar. Click to try!
Edit the contents of a CSV file in a neat editor.
Remove duplicate rows in a CSV file.
Display detailed information about a CSV file.
Convert a CSV file to an HTML table.
Convert an HTML table to a CSV file.
Convert a CSV file to a Markdown table.
Convert a Markdown table to a CSV file.
Draw an ASCII table from CSV data.
Draw an ANSI table from CSV data.
Draw a Unicode table from CSV data.
Convert CSV to a PDF document.
Extract data from a PDF and create a CSV file.
Create a screenshot of CSV data.
Draw a CSV file as a PNG, JPG or GIF picture.
Extract data from an image and create a CSV file.
Convert a CSV file to an Excel spreadsheet.
Convert an Excel spreadsheet to a CSV file.
Convert a CSV file to a vCard file.
Convert a vCard file to a CSV file.
Convert CSV to a LaTeX table.
Generate SQL insert queries from a CSV file.
Create a CSV file from SQL query results.
Convert a CSV file to a qCSV (quoted CSV) file.
Convert a qCSV (quoted CSV) file to a CSV file.
Convert a CSV file to an INI file.
Convert an INI file to a CSV file.
Convert a CSV file to a JSONL (JSON Lines) file.
Convert a JSONL (JSON Lines) file to a CSV file.
Convert a CSV file to a plain text file.
Convert a plain text file to a CSV file.
Convert a CSV file to a null-separated values file (0SV).
Convert a null-separated values file (0SV) to a CSV file.
Convert a CSV file to a semicolon-separated file (SSV).
Convert a semicolon-separated file (SSV) to a CSV file.
Convert a CSV file to a hash-separated file (HSV).
Convert a hash-separated file (HSV) to a CSV file.
Convert a CSV file to a pipe-separated file (PSV).
Convert a pipe-separated file (PSV) to a CSV file.
Create an SQLite database from the given CSV file.
Export tables from an SQLite database as CSV files.
Convert a CSV file to a GeoJSON file.
Convert a GeoJSON file to a CSV file.
Merge together two or more CSV files.
Visually show the differences between two CSV files.
Run the diff algorithm on two CSV files.
Find CSV cells that contain certain data.
Return data in a CSV file that matches a pattern.
Extract a slice from a CSV file.
Cut a fragment from a CSV file.
Move CSV columns to the left or right.
Move CSV data rows up or down.
Sort the data in one or more CSV rows.
Randomly change the positions of CSV columns.
Randomly change the order of CSV rows.
Randomly change the order of all CSV values.
Change the name of CSV columns.
Generate a random CSV of any size.
Generate a CSV file that contains nothing.
Generate a large CSV file for testing.
Generate a custom CSV file with m rows and n columns.
Remove CSV columns that are completely empty.
Remove CSV rows that are completely empty.
Remove all fields in a CSV file that are empty.
Remove all empty lines in a CSV file.
Delete the comma separator from CSV files.
Delete extra commas around CSV values.
Delete comments (lines starting with # or //) from CSV files.
Delete the column header from a CSV file.
Delete the first line from a CSV file.
Minify a CSV file and remove unnecessary whitespaces.
Reduce the file size of a CSV file.
Change the character encoding of a CSV file to UTF8 or ISO-8859-1.
Add extra spaces between CSV columns.
Convert a CSV file to an m-by-n matrix.
Convert a CSV file to an array of arrays of fields.
Convert an array of arrays of fields to a CSV file.
Create a list from one or more CSV columns.
Create a list from one or more CSV rows.
Create an array from one or more CSV columns.
Create an array from one or more CSV rows.
Find the number of rows and columns of a CSV file.
Find the number of columns in a CSV file.
Find the number of rows in a CSV file.
Find the sum of CSV columns.
Find the sum of CSV rows.
Find the average value of CSV columns.
Find the average value of CSV rows.
Use different colors for CSV data, quotes, and commas.
Animate CSV data by showing column after column.
Automatically fix a broken CSV.
Introduce random errors to a CSV file for fuzz testing.
Hide personal or sensitive information in a CSV file.
Mask data in a CSV file.
Hide a secret message in a CSV.
Encrypt a CSV file and hide information in it.
Decrypt a previously encrypted CSV file and make it readable.
Create a visual drawing that shows the CSV structure.
Create a new CSV file in the browser.
Distort a CSV file by infusing it with Zalgo characters.
Neutralize the chaotic Zalgo and restore CSV integrity.
Preview the contents of a CSV file in an interactive editor.
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We're Browserling — a friendly and fun cross-browser testing company powered by alien technology. At Browserling our mission is to make people's lives easier, so we created this collection of CSV tools. Our tools have the simplest user interface that doesn't require advanced computer skills and they are used by millions of people every month. Our CSV tools are actually powered by our web developer tools that we created over the last couple of years. Check them out!
