CSV to JSON Converter

Free Online CSV to JSON Converter — Six CSV Tools in One

This page provides six browser-based CSV utilities accessible from the left sidebar. Every tool runs entirely in your browser. No data is uploaded, no account is required, and nothing is stored on any server. Select a tool, paste your CSV text or upload a file, and the output appears instantly.

CSV to JSON Online — Convert CSV Files and Pasted Data to JSON

The CSV to JSON converter is the primary tool on this page. It takes any CSV text and transforms it into a JSON array of objects, where each object represents one data row and the keys come from the header row. The converter handles all four common delimiters (comma, semicolon, tab, and pipe), RFC 4180 quoted fields, and type inference for numbers and booleans.

How to Use the Free CSV to JSON Converter Online

There are two ways to get your CSV into the tool. The first is to paste your CSV text directly into the left panel using the Paste button or by pressing Ctrl+V inside the editor. The second is to click the Upload File button and select a .csv, .tsv, or .txt file from your device. You can also drag and drop a file directly onto the left editor panel. The JSON output appears automatically in the right panel.

How CSV to JSON Conversion Works

The converter reads the first row of the CSV as the header row. Each column name in the header row becomes a key in every JSON object. For each subsequent data row, a JSON object is created with those keys mapped to the corresponding cell values. If a cell is empty, the key is set to null. If a cell contains a number, it is output as a JSON number rather than a string. If a cell contains true or false (case-insensitive), it is output as a JSON boolean.

Delimiter Selection and Semicolon CSV Support

CSV files exported from Microsoft Excel in European locales often use a semicolon as the delimiter instead of a comma. If your CSV uses semicolons, select Semicolon from the Delimiter dropdown in the toolbar before converting. The tool also supports pipe-delimited files, which are common in some database export formats, and tab-delimited files (TSV).

RFC 4180 Quoted Field Handling

The parser correctly handles quoted fields per RFC 4180. A field that contains the delimiter character, a double quote, or a newline can be enclosed in double quotes. Double quotes inside a quoted field are represented as two consecutive double quotes. The converter strips the surrounding quotes and restores the content correctly in the JSON output.

CSV Validator — Free Online CSV Structure Checker

Before converting or importing CSV data, it is useful to confirm that the file is structurally sound. The CSV Validator checks three things: whether all rows have the same number of fields as the header row, whether any header cells are empty, and whether the file can be parsed without errors. It reports the total row count, column count, and delimiter type, then lists any rows that have an inconsistent field count.

Why CSV Files Become Invalid

The most common cause of inconsistent row lengths is a cell value that contains a newline character but was not properly quoted when the file was exported. This causes what was intended to be one row to be split across two or more lines. The validator detects which rows are affected so you can locate and fix the problem in the source data before processing it further.

CSV to TSV — Free Online Delimiter Converter

The CSV to TSV tool re-encodes your CSV data using a tab character as the delimiter instead of a comma. This is useful when the target system expects tab-delimited data, or when the data contains many commas inside values (such as addresses or financial figures) and you want to avoid heavy quoting. The converter re-evaluates which fields need quoting under the tab delimiter and removes unnecessary quotes.

When to Use TSV Instead of CSV

TSV works well in command-line pipelines. Unix tools like awk, cut, and sort default to the tab character as their field separator, so TSV files can be processed without specifying a custom delimiter. Google Sheets recognises TSV when pasted from the clipboard and splits it into columns automatically. Some database tools and APIs also prefer TSV for bulk imports.

CSV to HTML Table — Free Online Converter for Web and Email

The CSV to HTML Table tool turns your CSV data into a complete, styled HTML table element ready to embed in a web page. The header row of your CSV becomes the <thead> section with bold column names on a grey background. Data rows fill the <tbody> with alternating white and light-grey backgrounds for readability. All cell content is HTML-escaped so angle brackets and ampersands in your data do not break the markup.

Use Cases for CSV to HTML Table Conversion

Common use cases include embedding a data table in a blog post or article, adding a comparison table to a landing page, inserting a price table into an email newsletter, and generating a formatted report for a client or colleague. Because the table uses inline CSS, it renders consistently in email clients that strip external stylesheets.

CSV to Markdown Table — Free Online Converter for GitHub and Notion

The CSV to Markdown tool converts CSV data into a GitHub Flavored Markdown table. The output follows the GFM table syntax: a header row with column names separated by pipe characters, a separator row with dashes, and data rows. Pipe characters inside cell values are escaped so they do not break the table structure. Newlines inside values are replaced with spaces to keep each row on a single line.

Where to Use Markdown Tables

Markdown tables are widely supported in GitHub README files, GitHub wikis, GitLab, Bitbucket, Notion, Obsidian, Bear, Typora, and any editor that renders GFM. They are also useful in static site generators such as Astro, Jekyll, and Hugo, which render GFM Markdown to HTML. Converting a spreadsheet export to a Markdown table is faster and less error-prone than typing the table syntax by hand.

CSV to SQL INSERT Statements — Free Online CSV to SQL Converter

The CSV to SQL tool generates one SQL INSERT statement per data row. The header row provides the column names, which are backtick-quoted in the output for compatibility with MySQL and MariaDB. String values are single-quote escaped using the ANSI SQL convention. Numbers are written unquoted. Empty cells produce the SQL NULL keyword. The default table name is my_table — replace it with your actual table name before executing the statements.

Importing CSV Data Into a Database Using SQL

A common workflow is to receive data from a client or third-party system as a CSV export and need to load it into a relational database. The converter removes the need for intermediate tooling: paste or upload the CSV, copy or download the SQL output, and run the INSERT statements in your database client, migration script, or CI pipeline.

Related Data and Conversion Tools

If you work with structured data regularly, these tools work well alongside this page:

• JSON to CSV Converter — convert JSON arrays to CSV, TSV, YAML, HTML Table, Markdown, and SQL
• JSON Formatter — format, minify, validate, convert JSON to XML, and escape JSON strings
• Code Formatter — format HTML, CSS, JSON, XML, and JavaScript in one tool
• AI Table Generator — generate formatted HTML tables from a text description using AI