Developer Tool

Data Format Converter

Convert between JSON, YAML, CSV, TSV, XML and SQL INSERT — bidirectional, 30 conversions, drag-and-drop, all in your browser. No signup, no upload.

✅ Free Forever 🔒 No Signup ⚡ Instant Results 🌐 Browser Based

Quick Answer

The Data Format Converter is a bidirectional converter between JSON, YAML, CSV, TSV, XML and SQL INSERT statements — 30 conversion pairs total. Drag a file or paste any structured data, pick the target format, and copy the result. Pure client-side, no upload, no signup.

From

📁 Or upload a file

id,name,email,role
1,Jane Doe,jane@example.com,admin
2,John Smith,john@example.com,user

Quick Facts

Tool Name: Data Format Converter
Category: Developer Tool
Price: ✓ Free
Platform: Browser Based
Login Required: ✓ No
Last updated: 2026-05-20

How to Use Data Format Converter

Enter Your Input
Paste your text or fill in the required fields in the tool above.
Click Generate
Hit the generate or analyze button to start processing.
Get Instant Results
The tool processes your input instantly in your browser.
Copy or Export
Copy your results to clipboard or download the output.

Frequently Asked Questions

Everything you need to know about Data Format Converter

Which conversions are supported?

Six formats in (JSON, YAML, CSV, TSV, XML) and six out (JSON, YAML, CSV, TSV, XML, SQL INSERT). That's 30 conversion pairs. SQL is output-only since INSERT statements aren't a structured input format. TOML support is planned.

Is my data uploaded anywhere?

No. Parsing, conversion and file reading all happen in your browser. Drag a 50 MB CSV — it parses locally without touching any server. Safe for confidential data.

How does the CSV parser handle quoted commas and newlines inside fields?

RFC 4180 — fields containing commas, newlines or double quotes must be wrapped in double quotes. Escape an embedded double quote by doubling it (`""`). The parser handles all three cases automatically.

What's the YAML behavior for date strings?

We use js-yaml's default safeLoad — ISO 8601 strings without explicit quoting are parsed as Date objects. Wrap them in single quotes (`'2026-05-19'`) if you want them to stay as strings in the output.

Can I generate INSERT statements for a specific table name?

Right now the table name defaults to `my_table`. A per-row column-aware INSERT builder with custom table name and CREATE TABLE generation is on the roadmap. For now, find-replace `my_table` in the output.

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