TOML 포매터 온라인 무료版

Free 무료 · 가입 불필요 · 데이터 저장 안 함
Error
TOML INPUT
OUTPUT
// TOML output

더 많은 개발 도구

YAML 포매터
형식화·검증
TOML→JSON
JSON으로 변환
JSON→TOML
TOML로 변환
YAML→JSON
JSON으로 변환
Cron 생성기
일정 만들기
JSON 포매터
형식화·검증·압축
JSON→YAML
YAML로 변환
정규식
실시간 테스트

왜 이것이 최고의 온라인 TOML 포매터인가

TOML 포맷 & 정규화

Paste any TOML and get consistent key = value spacing, blank lines before section headers, and collapsed excess whitespace — without touching your data.

전체 TOML 사양 유효성 검사

Detects duplicate keys, duplicate tables, invalid [[array of tables]], inline table errors, and malformed values — all without any server round-trip.

Cargo.toml & 설정 파일

Ideal for Rust Cargo.toml, Python pyproject.toml, and any application config that uses TOML. Handles all data types: strings, integers, floats, booleans, dates, and arrays.

개인정보 우선

All processing runs in your browser — nothing is uploaded to a server. Safe for Cargo.toml files containing private registry tokens or credentials.

자주 묻는 질문

What is TOML?

TOML (Tom's Obvious Minimal Language) is a configuration file format designed to be easy to read due to its simple, obvious semantics. It maps unambiguously to a hash table and is widely used in Rust (Cargo.toml), Python (pyproject.toml), and many other ecosystems.

What does the TOML formatter change?

The formatter normalises spacing around = signs, ensures a blank line precedes every [section] header, and collapses multiple consecutive blank lines into one. It never changes key names, values, or their order.

Does it support Cargo.toml and pyproject.toml?

Yes. Both Cargo.toml and pyproject.toml are standard TOML files. This formatter fully supports [[bin]], [[dependencies]] array-of-tables, inline tables, multi-line strings, and all other TOML v1.0 constructs.

How is TOML different from YAML and JSON?

TOML is designed specifically for configuration files. Unlike JSON it allows comments. Unlike YAML it avoids indentation-based structure and ambiguous type inference. TOML has explicit types for integers, floats, booleans, dates, and strings, making it less error-prone for config use cases.

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Kubernetes, Docker, Rust & Python
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