How to Convert CSV to JSON, XML, or SQL with ConvertCSV.com

ConvertCSV.com provides separate browser-based tools for each target format: CSV to JSON, CSV to XML, and CSV to SQL. Pick the tool that matches your output, paste or load your CSV, adjust the parsing options if the defaults don't fit your data, then copy or download the result. All conversion runs on the client side, so your data stays on your computer.

Before you start

Have your CSV ready in one of two forms:

• A file you can load into the tool.
• Text you can paste directly. If your data comes from Excel, copy it and paste it as tab-separated (TSV) — the tools accept that and can also read Excel files directly.

You don't need an account or any setup. The tools run in the browser.

Step 1: Choose the right tool

Each output format has its own page:

If you're not sure which you need: JSON for APIs and JavaScript, XML for systems that expect markup, SQL for generating INSERT statements to load into a database.

Step 2: Load your CSV

Paste your CSV text into the input area, or load your file. The field separator is auto-detected by default, so a comma-separated file works without configuration. If your file uses tabs, semicolons, or another delimiter, the auto-detect usually handles it — otherwise set the separator manually.

Step 3: Set the parsing options

These options control how the tool reads your input, and getting them right prevents mangled output:

• Quotes — choose whether values are wrapped in double or single quotes.
• Treat quotes as data — use this when quote characters are part of the value rather than delimiters.
• Backslash escaping — enable if your input uses backslash escapes.
• Header row — decide whether the first row becomes field names (for JSON keys, XML tags, or SQL column names) or a data row.

The tools follow the RFC 4180 CSV standard, so standard-compliant files parse correctly with the defaults.

Step 4: Convert and take the output

Run the conversion. The result appears in the output area, where you can copy it or download it. From there:

• JSON — feed it to an API, config file, or application.
• XML — hand it to a system that consumes markup.
• SQL — run the generated statements against your database to insert the rows.

Common snags

• Wrong delimiter detected. If columns collapse into one, set the separator manually instead of relying on auto-detect.
• Header treated as data (or vice versa). Toggle the header option so the first row is interpreted the way you intend.
• Quotes inside values break parsing. Turn on "treat quotes as data" or the relevant escaping option.
• Excel source. Copy as TSV, or load the Excel file directly — the tools read Excel and convert it automatically.

Why the data stays private

The conversion happens entirely on the client side, so your CSV never leaves your computer. That matters when the file contains customer records, internal data, or anything you wouldn't paste into a server-based converter.

Related tools worth knowing

The same site covers the reverse direction and adjacent formats, including Convert JSON to CSV/Excel, Convert XML to CSV/Excel, Convert SQL to CSV/Excel, Convert YAML to CSV/Excel, and Convert Fixed Width to CSV/Excel. There's also a CSV Viewer and Editor that reads and edits Excel files, including large ones, and a CSV Validator for checking correctness before you convert.