TOML to YAML

Convert TOML into YAML instantly

Paste TOML on the left and get YAML on the right — all in your browser

Last updated: January 28, 2026
Frank Zhao - Creator
CreatorFrank Zhao
The converted YAML will appear here

Introduction / overview

The TOML to YAML converter takes TOML on the left and produces YAML on the right — entirely in your browser. It’s helpful when you have a TOML config (for example, a tool config file) but need YAML for documentation, CI pipelines, Kubernetes manifests, or quick human review.

If you’re migrating configuration formats, this tool gives you a clean starting point — then you can tweak the YAML structure to fit the target system.

Who is this for?

  • Developers turning tool configs into readable docs.
  • DevOps engineers preparing YAML-based pipelines or manifests.
  • Teams doing code review: YAML is often faster to scan than TOML.

Pair it naturally with TOML to JSON when you want a strict “debug view” of the parsed structure, or with YAML to TOML when you need a round-trip workflow.

How to use / quick start

1

Paste your TOML

Copy TOML from a config file and paste it into the left editor. The output updates automatically.

2

Confirm it parses cleanly

If the tool shows an error, fix missing quotes, commas, or mismatched brackets in your TOML.

3

Review YAML formatting

Check indentation, list formatting, and whether dates/timestamps look correct for your target system.

4

Copy and use it

Use the copy button to paste YAML into your repo, docs, or CI configuration.

How to interpret the output

  • Keys become YAML keys. Nested TOML tables become nested YAML mappings.
  • TOML arrays become YAML lists. If you see lots of dashes, you’re looking at lists.
  • Boolean values remain booleans. You’ll see true\mathrm{true} and false\mathrm{false} in YAML.

Step-by-step examples

Example 1: a small app config

Paste a TOML snippet like this:

[owner]
name = "Tom Preston-Werner"
dob = 1979-05-27T07:32:00.000Z

[database]
enabled = true
ports = [8000, 8001, 8002]

You’ll get YAML with the same shape (mappings + lists). One quick sanity check is the number of ports:

nportsn_{\mathrm{ports}}==33

If you prefer to double-check the parsed structure, convert the same TOML to JSON using TOML to JSON and compare keys side-by-side.

Example 2: environment-like settings

Here’s a second mini example you can paste as-is:

[service]
name = "api"
replicas = 2

[service.limits]
cpus = 0.5
memoryMb = 512

The output stays numeric where it should. A simple check is total memory for all replicas:

MtotalM_{\mathrm{total}}==(512 MB)×2(512\ \mathrm{MB})\times 2==1024 MB1024\ \mathrm{MB}

When you later paste YAML into CI tools, they may expect different field names or structures — treat this as a clean conversion baseline.

Real-world examples / use cases

Docs-friendly configuration

You want to paste config into docs or a README. YAML is easier to scan, especially for nested structures.

Inputs

A tool config in TOML with multiple sections and lists.

Output

YAML mapping with readable indentation.

How to use the result

Paste the YAML into documentation, then link to TOML as the source of truth.

Migration planning

You’re moving from a TOML-based system to a YAML-based system and need a first-pass conversion.

Inputs

TOML tables + arrays (including nested tables).

Output

YAML structure that mirrors your existing hierarchy.

How to use the result

Use the YAML as a starting point, then rename keys and fields for the target system.

CI/CD configuration drafts

YAML is common in CI pipelines. Converting helps you quickly see what your config would look like in that world.

Inputs

TOML containing environment-like parameters, URLs, and flags.

Output

YAML that you can drop into pipeline templates.

How to use the result

After conversion, validate against your CI schema and run a small test build.

If you need the reverse direction later, try YAML to TOML or YAML to JSON converter.

Common scenarios / when to use

Copying configs into docs

Turn TOML into YAML so it reads nicely in a README or wiki page.

Comparing structure quickly

Use YAML as a visual “shape” check for nested tables and arrays.

Format bridging

Draft YAML for systems that don’t accept TOML but do accept YAML.

Review before shipping

Spot suspicious values (booleans, numbers, dates) before committing.

Flattening mental overhead

YAML indentation helps you see grouping at a glance.

Sanity-checking arrays

Lists render clearly with dashes, reducing mistakes when editing by hand.

When not to use it: if your target YAML has a strict schema (for example, Kubernetes), the converted YAML may need restructuring. Use this tool for a clean baseline, then adapt to the schema.

Tips & best practices

Make conversions more reliable

  • Keep TOML keys simple when possible (avoid trailing spaces or unusual punctuation).
  • Prefer explicit quotes for strings that look like numbers (e.g., "0123").
  • After conversion, validate the YAML in the target tool (linters and schema validators catch surprises fast).

Common mistakes to avoid

  • Assuming every YAML consumer treats dates the same way — some want strings, some want timestamps.
  • Forgetting that YAML indentation is meaningful; don’t mix tabs and spaces when editing after conversion.
  • Expecting a schema-specific YAML layout (like Kubernetes) to be produced automatically.

Tip: if you want a stricter intermediate representation before YAML, convert TOML to JSON first and then convert JSON to YAML using JSON to YAML converter.

Conversion method / mapping

This tool performs a two-step mapping: parse TOML into an in-memory object, then stringify that object as YAML. Conceptually, you can think of it as a function pipeline.

Y=YAML_stringify(TOML_parse(T))Y = \mathrm{YAML\_stringify}(\mathrm{TOML\_parse}(T))

(where T is the TOML input text, and Y is the YAML output text)

What gets preserved?

  • Basic types: strings, numbers, and booleans.
  • Structure: tables become nested mappings, arrays become lists.
  • Ordering is usually preserved in practice, but you shouldn’t rely on it for meaning.

Related concepts / background

TOML vs YAML (quick intuition)

  • TOML emphasizes typed values and clean configuration files.
  • YAML emphasizes readability and is common in infrastructure tooling.
  • Both represent the same underlying idea: hierarchical data with scalar values and lists.

If you ever need to inspect a YAML file’s structure as strict JSON (especially for debugging), use YAML to JSON converter.

Frequently asked questions

Does this run locally?

Yes. The conversion runs in your browser, so your TOML content isn’t sent to a server by default.

Why do some values change formatting?

YAML and TOML have different surface syntax. The tool preserves meaning where possible, but the exact formatting (quotes, spacing, line breaks) may differ.

How are booleans represented?

They stay booleans. In YAML you’ll typically see true\mathrm{true} and false\mathrm{false}.

What about dates and timestamps?

TOML can represent dates/times explicitly. Some YAML consumers treat timestamps specially, while others prefer strings. If your target tool is strict, validate the output and quote timestamps if needed.

Can I round-trip TOML → YAML → TOML without changes?

Not always. Even when meaning stays the same, formatting and some type nuances can shift. If round-tripping is critical, test with your real config and compare results. The reverse tool is YAML to TOML.

Is there a maximum size?

Very large files can be slow in the browser. If you hit performance issues, try converting smaller sections.

Limitations / disclaimers

This tool converts data structure, not system-specific schemas. Always validate the output in the tool that will consume the YAML.

The converter is meant for convenience and does not replace professional review for security-sensitive configuration. For production environments, review secrets handling, access control, and schema validation.

External references / sources

TOML to YAML | CalculatorVast