BidirectionalReal-timeNo External Libraries
JSONYAML

How It Works

1

Paste JSON or YAML

Type or paste your data into either panel.

2

Instant Conversion

The other format updates in real time as you type.

3

Copy Result

Copy the converted output with one click.

Frequently Asked Questions

What are the differences between JSON and YAML?
JSON uses curly braces and brackets with strict syntax, while YAML uses indentation-based formatting that is more human-readable. JSON requires quotes around keys and string values, while YAML usually does not. JSON supports fewer data types natively, but is more widely supported by programming languages and APIs.
What are the basics of YAML syntax?
YAML uses indentation (spaces, not tabs) to denote structure. Key-value pairs are written as "key: value". Lists use a dash followed by a space ("- item"). Nested objects are indented under their parent key. Strings generally do not need quotes unless they contain special characters.
When should I use YAML instead of JSON?
YAML is preferred for configuration files (Docker Compose, Kubernetes, CI/CD pipelines) because it is easier to read and write by hand. JSON is better for data exchange between services and APIs because it is faster to parse and has stricter syntax that reduces ambiguity.
What are YAML indentation rules?
YAML requires consistent indentation using spaces (tabs are not allowed). The number of spaces per level is flexible but must be consistent throughout the document. Two spaces per level is the most common convention. Incorrect indentation will cause parsing errors.
How is YAML used in Docker and Kubernetes?
Docker Compose uses YAML files (docker-compose.yml) to define multi-container applications with services, networks, and volumes. Kubernetes uses YAML manifests to define resources like deployments, services, and config maps. Both rely on YAML for its readability when managing complex infrastructure configurations.
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About JSON to YAML

What this tool does

Data converter tools transform structured data between JSON, CSV, YAML, XML, TOML, SQL, TypeScript interfaces, Go structs, and more. They handle nested objects, arrays, and type inference automatically.

Why use this tool

APIs return JSON, spreadsheets export CSV, infrastructure config uses YAML, and legacy systems speak XML. Being able to convert between these formats without writing a custom script saves hours of tedious data wrangling.

How it works

The tool parses your input format into an in-memory object tree, then serializes that tree into the target format. Type information (string, number, boolean) is inferred from values and mapped to the closest equivalent in the output format.

Pro tip

When converting CSV to JSON, the first row is treated as column headers by default. If your CSV has no headers, toggle that option off to get array-of-arrays output instead.

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