Free online CSV tester. Just upload your CSV file in the form below, and it will be automatically checked for formatting and structural problems. In the tool options, you can set the CSV field separator and quote character, then decide whether comment rows, blank lines, incomplete rows, and extra field spacing should pass or fail the test run. Created by programmers from team Browserling.
Free online CSV tester. Just upload your CSV file in the form below, and it will be automatically checked for formatting and structural problems. In the tool options, you can set the CSV field separator and quote character, then decide whether comment rows, blank lines, incomplete rows, and extra field spacing should pass or fail the test run. Created by programmers from team Browserling.
This tool tests CSV (Comma Separated Values) files for formatting and structural errors. It checks whether the input CSV file is correctly separated into rows and fields, whether quoted values are properly closed, whether all rows contain the expected number of fields, and whether the file contains comments, empty lines, missing values, or extra spaces around values. In the options, you can specify the delimiter character and the quote character used in the input CSV. Usually, CSV files use a comma as the delimiter and a double quote as the quote character, but you can also test semicolon-delimited, tab-delimited, or pipe-delimited data by changing these options. You can also choose which CSV features are allowed during testing. For example, you can allow or reject comment lines, empty lines, incomplete rows, leading spaces, and trailing spaces. If the CSV passes all selected tests, the tool shows a green success badge. If the CSV fails one or more tests, the tool prints a clear test report with the error title, message, and row number. You can also limit the number of reported errors when testing large or messy CSV files. Csv-abulous!
This tool tests CSV (Comma Separated Values) files for formatting and structural errors. It checks whether the input CSV file is correctly separated into rows and fields, whether quoted values are properly closed, whether all rows contain the expected number of fields, and whether the file contains comments, empty lines, missing values, or extra spaces around values. In the options, you can specify the delimiter character and the quote character used in the input CSV. Usually, CSV files use a comma as the delimiter and a double quote as the quote character, but you can also test semicolon-delimited, tab-delimited, or pipe-delimited data by changing these options. You can also choose which CSV features are allowed during testing. For example, you can allow or reject comment lines, empty lines, incomplete rows, leading spaces, and trailing spaces. If the CSV passes all selected tests, the tool shows a green success badge. If the CSV fails one or more tests, the tool prints a clear test report with the error title, message, and row number. You can also limit the number of reported errors when testing large or messy CSV files. Csv-abulous!
In this example, we test a simple two-column task list. Every row uses one comma separator, all rows have the same number of cells, no comments or blank rows appear, and there is no extra spacing at cell edges. The data passes the selected test rules, so the result is shown as a green success badge.
In this example, we test a small CSV comet watching log. The file uses semicolons instead of commas, so we set the delimiter option to a semicolon. We allow non-data rows, such as blank rows and comment rows, because they may be useful for separating or documenting parts of the file. All other CSV requirements remain strict: rows should not have missing values, field values should not start or end with extra spaces, and quoted values should be closed correctly. The test report finds a missing sky value in one comet row and a trailing space after the sky value in another row, so it prints two failures that show exactly which rows need cleanup.
In this example, we run several CSV format tests on a museum artifact file. The CSV has five columns and several artifact rows, but the export contains many different problems: a comment row, a trailing space after a condition value, a blank row, a whitespace-only condition cell, a leading space before a curator name, a row with missing cells, and a final row with an unclosed quote. We keep the test rules strict for comments, blank rows, missing cells, and edge spaces, and we turn off the failure limit so the report can show the full set of detected issues.
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.
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!
