Free online CSV to JSON converter. Just upload your CSV file in the form below and it will automatically get converted to JSON. In the tool options, you can adjust the CSV column delimiter character, quote character, and skip commented CSV lines. Additionally, you can adjust JSON's output format. Created by programmers from team Browserling.
Free online CSV to JSON converter. Just upload your CSV file in the form below and it will automatically get converted to JSON. In the tool options, you can adjust the CSV column delimiter character, quote character, and skip commented CSV lines. Additionally, you can adjust JSON's output format. Created by programmers from team Browserling.
This tool transforms Comma Separated Values (CSV) files to JavaScript Object Notation (JSON) data structures. Both formats are often used for data migration and backups, as well as as a data exchange format in various applications, including databases. Both formats, CSV and JSON, are semi-structured, which means the data has a raw format (viewable in a text editor) but still has some structure, allowing it to be parsed and easily extracted. By default, the CSV format uses a comma symbol to separate data columns and a double-quote symbol to quote fields. However, in the options of this tool, you can customize these values. If the input CSV data has a delimiter other than a comma (such as a semicolon ; or a pipe symbol |), then you can specify it in the "Column Separator" option. If the CSV uses a different character for quoting the fields (such as a single quote '), you can specify this quoting character in the "Field Quotation Character" option. In case the CSV contains comments (which usually start with a hash symbol # or a double slash //), you can exclude them by specifying the comment symbol in the "Line Comment Symbol" option, thereby speeding up parsing of the CSV as unnecessary lines will be skipped and won't be parsed. Several other options control the conversion process. If your CSV file has column titles (called headers) on the first row of data, the tool can automatically use the header values to set the keys of the JSON object. If the input CSV contains empty lines, you can choose to skip them. If empty lines aren't skipped, then a single empty value will be created for the first column of data. Additionally, you can customize the format of the output JSON. Specifically, you can choose not to wrap JSON numbers and booleans in quotes, as well as choose how to indent the JSON data structure. It can be indented with two spaces per level, a tab per level, or minified by using no indentation. Also, for the reverse transformation from JSON to CSV, you can use our Convert JSON to CSV tool. Csv-abulous!
This tool transforms Comma Separated Values (CSV) files to JavaScript Object Notation (JSON) data structures. Both formats are often used for data migration and backups, as well as as a data exchange format in various applications, including databases. Both formats, CSV and JSON, are semi-structured, which means the data has a raw format (viewable in a text editor) but still has some structure, allowing it to be parsed and easily extracted. By default, the CSV format uses a comma symbol to separate data columns and a double-quote symbol to quote fields. However, in the options of this tool, you can customize these values. If the input CSV data has a delimiter other than a comma (such as a semicolon ; or a pipe symbol |), then you can specify it in the "Column Separator" option. If the CSV uses a different character for quoting the fields (such as a single quote '), you can specify this quoting character in the "Field Quotation Character" option. In case the CSV contains comments (which usually start with a hash symbol # or a double slash //), you can exclude them by specifying the comment symbol in the "Line Comment Symbol" option, thereby speeding up parsing of the CSV as unnecessary lines will be skipped and won't be parsed. Several other options control the conversion process. If your CSV file has column titles (called headers) on the first row of data, the tool can automatically use the header values to set the keys of the JSON object. If the input CSV contains empty lines, you can choose to skip them. If empty lines aren't skipped, then a single empty value will be created for the first column of data. Additionally, you can customize the format of the output JSON. Specifically, you can choose not to wrap JSON numbers and booleans in quotes, as well as choose how to indent the JSON data structure. It can be indented with two spaces per level, a tab per level, or minified by using no indentation. Also, for the reverse transformation from JSON to CSV, you can use our Convert JSON to CSV tool. Csv-abulous!
In this example, we convert a CSV with three columns into a JSON array of arrays of three elements. Each value from the CSV is converted into an individual item in the JSON array, wrapped in quotes, and placed in an array. After the conversion, all arrays are nested together, producing the output JSON. Additionally, the output JSON is minified, as we select the the unformatted JSON mode without indentation.
In this example, we load a CSV that uses semicolons as field separators. To convert this non-standard CSV to JSON, we specify the semicolon ";" as the separator symbol in the options. We also enable the headers option, which creates an array of JSON objects with the header values as keys of the JSON objects. For a nice visual formatting of the output JSON, we choose a two-space indentation, which is applied to each level of JSON.
This example converts CSV data about famous books into JSON. It uses the first line of data as the key values for the JSON objects. It also skips empty lines and commented lines starting with the "#" symbol. It also enables the dynamic data types option, which prints numbers and booleans without quotes. Finally, it indents the JSON data structure with tabs.
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!
