CSV to TOML Converter

About the CSV to TOML Converter

Generate valid TOML configuration from CSV files with one click. This tool reads your CSV rows, infers basic data types, and emits [[table]] entries that you can drop into Hugo, Deno, Rust, or any TOML-based configuration system.

Key Features

• Header-Aware: Uses CSV headers as TOML keys, automatically quoting or sanitizing them when necessary.
• Table Arrays: Outputs each row as [[records]] (TOML array of tables) for easy iteration.
• Type Detection: Detects booleans, integers, floats, ISO dates, datetimes, and times; falls back to quoted strings.
• Delimiter Flexibility: Supports comma, semicolon, tab, and pipe CSV formats.
• Quote Escaping: Escapes backslashes, quotes, tabs, and newlines to keep the TOML valid.
• Instant Output: Updates the TOML preview as you edit or upload a file.

How to Convert CSV to TOML

1. Paste or Upload CSV: Provide your data via the text area or upload a .csv file.
2. Choose Options: Toggle “First row is header” and pick the delimiter that matches your file.
3. Review TOML Output: Inspect the generated [[records]] tables on the right.
4. Copy or Download: Copy the TOML to your clipboard or download it as output.toml.
5. Integrate: Paste the TOML into config files, static site data directories, or application settings.

Data Model Produced

• Header Present: Creates [[records]] with named keys (e.g., name = "John").
• No Header: Generates generic keys like column_1, column_2, etc.
• Values: Strings are quoted; numbers, booleans, and ISO timestamps remain native.

Common Use Cases

• Static Site Generators: Convert CSV content into TOML data files for Hugo or Zola.
• Rust/Deno Apps: Create TOML configuration sections without manual editing.
• DevOps & Infra: Populate TOML-based feature flags or environment configs from spreadsheets.
• API Mocking: Store mock payloads or settings in TOML instead of CSV.

Best Practices

• Keep header names concise and slug-friendly to avoid excessive quoting.
• Review inferred types; adjust manually if certain fields should stay strings.
• Group related rows by editing the [[records]] name after export (e.g., [[products]]).
• Check the output with a TOML linter or parser before deploying to production.

FAQ

• Does this generate a full TOML config file? The converter outputs table arrays (such as [[records]]) that you can paste into an existing TOML file. You can rename the table to match your project’s schema.
• How are empty cells handled? Empty cells become empty strings (""). You can manually adjust them to true, false, 0, or other values if needed.
• Will numeric-looking values always become numbers? The tool attempts to infer integers and floats. If a value should remain a string (like an ID with leading zeros), you can edit the TOML after export to add quotes.
• Can I control the table name? By default, rows are grouped under [[records]]. After exporting, you can safely rename that table to something domain-specific like [[users]] or [[products]].

Privacy & Security

All CSV to TOML conversions run entirely in your browser using client-side JavaScript. Your CSV data and TOML output never leave your machine.

Start Converting CSV to TOML

Paste your CSV, set the delimiter and header options, and get production-ready TOML configuration in seconds—no installation or command-line tooling required.