Documentation

Everything you need to know about data serialization and how to use DataMorph efficiently.

What is Data Serialization?

Data serialization is the process of converting complex data structures—like objects, arrays, and lists in memory—into a format that can be easily stored or transmitted. Think of it as "packaging" your data so it can be sent over a network (like a JSON API response) or saved to a file (like a config file) and then reconstructed ("deserialized") later.

Why it matters

  • Enables communication between different systems (e.g., Python backend to React frontend)
  • Standardizes how configurations are stored (e.g., in DevOps tools)
  • Allows caching and persistence of application state

Common Formats

  • JSON(JavaScript Object Notation) - The web standard.
  • YAML(YAML Ain't Markup Language) - Clean, no brackets. Great for configs.
  • XML(Extensible Markup Language) - Verbose but powerful, used in enterprise.
  • TOML(Tom's Obvious, Minimal Language) - Explicit and easy for configs.
Example: User Object
JSON
{
  "name": "Alice",
  "role": "admin",
  "active": true
}
YAML
name: Alice
role: admin
active: true
XML
<user>
  <name>Alice</name>
  <role>admin</role>
  <active>true</active>
</user>

How to use DataMorph

DataMorph provides two main tools: the Converter and the Validator. Both happen entirely in your browser for maximum privacy.

1

The Converter

Use the converter when you need to transform data from one format to another (e.g., converting a JSON API response to YAML for a config file).

  1. Navigate to the /convert page.
  2. Paste your source code on the left editor.
  3. Select your Input Format and Output Format.
  4. The converted code appears instantly on the right.
JSON
YAML
2

The Validator

Use the validator to check if your code syntax is correct. It helps catch missed brackets, indentation errors in YAML, or unclosed tags in XML.

  1. Navigate to the /validate page.
  2. Select the format you want to validate.
  3. Paste your code.
  4. See instant feedback: Valid or Error Message.
Valid JSON
Invalid YAML: indent error

Ready to transform your data?