Quick Comparison
| Feature | JSON | YAML |
|---|---|---|
| Syntax | Braces, brackets, commas | Indentation, dashes, colons |
| Readability | Compact, machine-friendly | More readable for humans |
| Comments | Not supported | Supported via # |
| Data types | Strings, numbers, booleans, null, arrays, objects | Same + dates, timestamps, references |
| File size | Smaller (no indentation overhead) | Slightly larger but more legible |
| Best for | APIs, web payloads, JS apps | Config files, CI/CD, infrastructure |
What Is JSON?
JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format. Defined in 2001 and standardized as ECMA-404, it's the dominant format for web APIs because every modern language can parse it without external dependencies.
{
"user": "ada",
"active": true,
"score": 92,
"tags": ["admin", "writer"]
}What Is YAML?
YAML (originally “Yet Another Markup Language,” later retconned to “YAML Ain't Markup Language”) is a human-friendly superset of JSON. Indentation indicates structure, comments are supported, and the syntax is generally lighter on punctuation.
user: ada
active: true
score: 92
tags:
- admin
- writerThe two examples above encode the same data.
Side-by-Side Syntax Examples
Nested objects
// JSON
{
"server": {
"host": "api.example.com",
"port": 443,
"ssl": true
}
}
# YAML
server:
host: api.example.com
port: 443
ssl: trueArrays of objects
// JSON
{
"users": [
{ "name": "Ada", "role": "admin" },
{ "name": "Linus", "role": "dev" }
]
}
# YAML
users:
- name: Ada
role: admin
- name: Linus
role: devWhen to Use JSON
- API request and response bodies. Every HTTP client and server speaks JSON natively.
- Simple, machine-generated config. Anywhere a human won't be hand-editing the file.
- JavaScript-native apps. JSON parses with
JSON.parse()— no library needed. - NoSQL document stores. MongoDB, Firestore, DynamoDB all use JSON-like documents.
- Browser-to-server payloads where parser performance matters at scale.
When to Use YAML
- Complex configuration files that engineers will edit by hand.
- CI/CD pipelines — GitHub Actions, GitLab CI, CircleCI, Bitbucket Pipelines all use YAML.
- Infrastructure-as-code — Docker Compose, Kubernetes, Helm, Ansible.
- Anywhere comments matter — and they almost always matter in config.
- Multi-document files — YAML supports multiple documents in one file (separated by
---).
Pros & Cons
JSON — Pros
- Fastest parsing in every language
- Strict spec — fewer edge cases
- Universal language and tool support
- Smaller wire size when minified
JSON — Cons
- No comments
- Verbose for nested data
- Trailing commas forbidden — minor footgun
- Painful to hand-edit at scale
YAML — Pros
- Comments supported
- Cleaner syntax for nested config
- Multi-document files
- Anchors and references to avoid repetition
YAML — Cons
- Whitespace-sensitive — silent bugs from indent errors
- Slower to parse
- Type coercion surprises (e.g.
noparsed asfalse) - Less universal language support
JSON vs YAML in Popular Tools
| Tool | Format used |
|---|---|
| GitHub Actions | YAML |
| GitLab CI | YAML |
| Docker Compose | YAML |
| Kubernetes manifests | YAML |
| Ansible playbooks | YAML |
| package.json (Node) | JSON |
| tsconfig.json | JSON |
| REST API payloads | JSON |
| OpenAPI spec | Either |
| CircleCI config | YAML |
Interoperability
JSON is a subset of YAML 1.2, so a YAML parser will happily accept JSON input. Going the other way requires actual conversion — the ConvertDox YAML to JSON converter handles this in both directions, all in your browser. Programmatically, every major language ships a YAML library that round-trips cleanly.
Frequently Asked Questions
Is YAML a superset of JSON?
YAML 1.2 was deliberately aligned so that every valid JSON document is also valid YAML. That means you can paste JSON into a YAML parser and it will work. The reverse isn't true — YAML's indentation-based blocks have no direct JSON equivalent.
Which is faster to parse?
JSON, by a comfortable margin. JSON parsers are simpler, ship in the standard library of every major language, and run faster on identical payloads. YAML parsers do more work because the grammar is more permissive.
Why do config files use YAML instead of JSON?
JSON forbids comments and trailing commas, which makes config files painful to maintain. YAML allows both, plus its indentation-based syntax is easier to read in diffs. Hence its dominance in CI/CD and infrastructure tooling.
Are YAML files dangerous to parse?
They can be — the default Python yaml.load() (until recent versions) could instantiate arbitrary Python objects, which is a remote-code-execution risk. Always use yaml.safe_load() or an equivalent safe loader.
Can I convert between them?
Yes — use our YAML to JSON converter for bidirectional conversion. Programmatically, every major language has libraries that round-trip cleanly.