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CSV, TSV & SQL Data Studio

Convert RFC 4180 CSV/TSV ↔ JSON, YAML, and Markdown tables, filter/sort columns in an interactive grid, generate typed SQL CREATE/INSERT scripts, and format PostgreSQL/MySQL/SQLite queries.

100% Local Browser Engine · Zero Uploads3 Workspaces

CSV / TSV ↔ JSON, YAML & XML: Parse RFC 4180 CSV/TSV with custom delimiters, inspect tabular rows, and export JSON, YAML, XML, or TypeScript interfaces.

Input Format

Output Format

Delimiter

First row is header

Parse numbers & booleans

Source (CSV)

Converted Output (JSON)

[
  {
    "id": 101,
    "product": "Mechanical Keyboard",
    "category": "Hardware",
    "price": 129.99,
    "inStock": true
  },
  {
    "id": 102,
    "product": "USB-C Dock, 8-in-1",
    "category": "Accessories",
    "price": 64.5,
    "inStock": true
  },
  {
    "id": 103,
    "product": "Ergonomic Mouse",
    "category": "Hardware",
    "price": 49,
    "inStock": false
  }
]

388 bytes3 records · 5 fields

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What is CSV, TSV & SQL Data Studio?

Tabular CSV & SQL Studio parses RFC 4180 CSV/TSV datasets, exports JSON, YAML, XML, Markdown tables, or batched SQL INSERTs, infers typed PostgreSQL/MySQL/SQLite CREATE TABLE DDL statements, and formats raw SQL queries.

How to use CSV, TSV & SQL Data Studio in 3 steps

1
Choose Tabular Converter, SQL DDL, or SQL Formatter
Paste CSV rows or SQL queries.
2
Configure dialect or delimiter
Pick PostgreSQL, MySQL, or SQLite column type inference or custom CSV delimiters.
3
Copy or download
Export clean JSON, aligned Markdown tables, CREATE TABLE schemas, or formatted SQL.

Key features and benefits

Infers BIGINT, NUMERIC, BOOLEAN, TIMESTAMPTZ, and PRIMARY KEY columns from sample CSV data.
Formats complex SELECT/JOIN/CTE queries deterministically.

Common use cases

Bootstrapping PostgreSQL tables and INSERT scripts from spreadsheet exports.

Reformatting single-line ORM SQL logs into readable multi-line queries.

Why browser-based works better

CSV, TSV & SQL Data Studio consolidates related data, sql & analytics studios workflows into one cohesive, multi-mode browser studio — eliminating tab-hopping across fragmented single-purpose tools.

Every mode executes locally using Web APIs and audited client-side libraries, so private files, tokens, and source code never leave your device.

You might also need

Continue this workflow with nearby browser-based tools so you can validate, convert, and ship output without context switching.

CSV, TSV & SQL Data Studio FAQs

Quick answers about the workflow, privacy, and where this tool fits in a broader job.

Does CSV parsing handle quoted commas and newlines?

Yes. The RFC 4180 state-machine parser handles escaped quotes, embedded commas, and multi-line cells.

Keep the workflow moving with nearby tools that solve the next likely step.

Built and maintained by

Free AI Tools Engineering Team

Browser Tooling & Web Platform Engineering

Last updated: October 2026

Tested in Chrome, Firefox, and Safari on desktop and mobile.

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What is CSV, TSV & SQL Data Studio?

CSV, TSV & SQL Data Studio FAQs

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