Free Coding Conversion Tools for JSON, YAML, CSV, APIs & TypeScript
Modern development often involves moving information between different formats. You may receive JSON from an API but need YAML for a configuration file. You might have CSV data that needs to become JSON, or a cURL comma
Modern development often involves moving information between different formats.
You may receive JSON from an API but need YAML for a configuration file. You might have CSV data that needs to become JSON, or a cURL command that needs to be converted into JavaScript fetch() or Axios code.
There are also situations where you need to generate TypeScript types, create a Zod schema, generate JSON Schema, or convert a Unix timestamp into a readable date.
For these smaller development tasks, browser-based conversion utilities can be useful.
Explore the complete Coding Conversion Tools collection on Noloii
What Are Coding Conversion Tools?
Coding conversion tools are small developer utilities that transform data, code, requests, schemas, or other technical representations from one format into another.
For example:
- JSON → YAML
- YAML → JSON
- JSON → CSV
- CSV → JSON
- JSON → TypeScript
- JSON → Zod
- JSON → JSON Schema
- cURL → Fetch
- cURL → Axios
- Unix Timestamp → Date
Instead of manually rewriting the structure, a converter can handle the repetitive part and give you an output that you can review and adapt for your project.
Coding Conversion Tools
Here are the current tools available in the Noloii Coding Conversion collection.
JSON and Data Conversion
Convert JSON data into YAML syntax for configuration files, APIs, development workflows, and other situations where a human-readable structured format is useful.
Convert YAML into JSON for applications, APIs, scripts, configuration processing, and other workflows that require JSON.
Convert JSON data into CSV format when you need tabular data for spreadsheets, reporting, inspection, or data analysis.
Convert CSV data into structured JSON that can be used in applications, APIs, scripts, and data-processing workflows.
TypeScript and Schema Conversion
Generate TypeScript interfaces and types from representative JSON data. This can be useful when working with API responses or unfamiliar JSON structures.
Generate Zod schemas from JSON structures for TypeScript applications that use runtime validation.
Generate a JSON Schema representation from JSON data for validation, API documentation, structured data workflows, and developer tooling.
API Request Conversion
Convert a cURL HTTP request into JavaScript Fetch API code. This can be useful when you have an API request from documentation or a terminal workflow and want to reproduce it in JavaScript.
Convert cURL commands into JavaScript Axios request code for API development, testing, and application integrations.
Date and Timestamp Conversion
Convert Unix timestamps into readable dates and convert dates back into Unix timestamp values.
Remember that systems may use timestamps in either seconds or milliseconds, so always check which unit your application expects.
Common Development Workflows
These converters can be useful in several everyday development situations.
1. Working with API Responses
APIs commonly return JSON.
Suppose an API returns:
{
"id": 101,
"name": "Example User",
"active": true
}
You may need TypeScript types for the response:
Or you may need a validation schema:
Or a formal schema for documentation and validation:
This can make repetitive API-development work faster while still allowing you to review and refine the generated result.
2. Converting Configuration Formats
JSON and YAML are both common in software development.
For example, you might receive configuration data as JSON but need YAML for a particular configuration workflow.
Use the JSON to YAML Converter to transform the structure.
If the opposite is required, use the YAML to JSON Converter.
The important thing is to review the converted result, especially when the original data contains nested objects, arrays, special values, or application-specific conventions.
3. Working With CSV Data
CSV is particularly useful when information needs to be viewed as rows and columns.
For example, JSON might be convenient for an API while CSV may be easier to open in a spreadsheet or use for tabular analysis.
The JSON to CSV Converter can help transform JSON data into CSV.
If you need to move the data back into an application-oriented structure, the CSV to JSON Converter can convert CSV data into JSON.
Keep in mind that JSON can represent nested structures more naturally than CSV, so some conversions may require decisions about how nested data should be represented.
4. Converting cURL Requests to JavaScript
API documentation frequently provides examples using cURL.
For example:
curl https://api.example.com/users
If you need to reproduce that request in JavaScript, the cURL to Fetch Converter can help generate Fetch API code.
If your project uses Axios instead, try the cURL to Axios Converter.
Generated code should still be reviewed for authentication, headers, request bodies, error handling, and application-specific requirements.
5. Working With Unix Timestamps
Unix timestamps are commonly used to represent dates and times numerically.
When debugging an API or database response, you may encounter a value such as:
1791331200
A Unix Timestamp Converter can help convert timestamp values into readable dates and perform the reverse conversion.
Always verify whether the system expects seconds or milliseconds.
Why Use Small Developer Utilities?
Not every development task requires installing a package or writing a custom script.
Sometimes you simply need to:
- Convert JSON to YAML
- Convert YAML to JSON
- Turn JSON into CSV
- Convert CSV into JSON
- Generate TypeScript types
- Create a Zod schema
- Generate JSON Schema
- Convert cURL to Fetch
- Convert cURL to Axios
- Convert a Unix timestamp
For these repetitive tasks, focused browser-based utilities can save time and reduce manual formatting work.
They can also be useful for learning because the generated output gives you an opportunity to compare different representations of the same underlying data.
Things to Check Before Using Generated Output
A converter can automate a transformation, but generated output should not automatically be treated as production-ready code.
For example, generated TypeScript types may need changes for optional properties or union types.
A generated Zod schema may need additional validation rules.
A JSON Schema generated from sample data may not describe every valid object your application accepts.
Similarly, converted API requests may require authentication headers, environment variables, error handling, or application-specific configuration.
A good workflow is:
- Provide representative input.
- Generate the converted result.
- Review the output.
- Test it with real application requirements.
- Make any necessary adjustments before using it in production.
A Simple Conversion Workflow
Most coding conversion tasks follow a straightforward process:
Source Data
↓
Parse the Input
↓
Understand the Structure
↓
Convert to Target Format
↓
Review the Result
↓
Use in Your Workflow
The exact conversion depends on the formats involved.
For structured data, the converter needs to preserve objects, arrays, properties, and values as appropriately as possible.
For API requests, the conversion needs to represent things such as the HTTP method, URL, headers, query parameters, and request body.
For schemas, the generated result is based on the structure available in the input.
Who Can Use These Tools?
The collection can be useful for different types of technical users.
Web Developers
Frontend and full-stack developers can use conversion utilities when working with API responses, TypeScript types, JSON data, and configuration files.
Backend Developers
Backend developers frequently work with APIs, structured data, schemas, databases, and different data representations.
API Developers
The cURL converters can be useful when translating API examples into Fetch or Axios requests.
DevOps and Technical Teams
JSON, YAML, timestamps, and API request formats appear frequently in development and infrastructure workflows.
Students and Learners
Conversion tools can also make it easier to understand how different formats represent similar information.
For example, converting the same JSON structure to YAML, TypeScript, or JSON Schema can help demonstrate how each representation works.
Review Your Data Before Sharing It
When working with real application data, avoid blindly pasting sensitive information into any online tool.
Before using a browser-based utility, consider whether your input contains:
- Passwords
- API keys
- Access tokens
- Private customer information
- Internal credentials
- Confidential business data
- Production secrets
For example, when converting a cURL command, check whether it contains an Authorization header or another credential.
When possible, replace sensitive values with placeholders before processing the input.
Explore the Full Collection
If you frequently work with JSON, YAML, CSV, TypeScript, schemas, APIs, or timestamps, you can explore the complete collection here:
Noloii Coding Conversion Tools
The collection brings several small conversion tasks together in one place, including:
- JSON to YAML
- YAML to JSON
- JSON to CSV
- CSV to JSON
- JSON to TypeScript
- JSON to Zod
- cURL to Fetch
- Unix Timestamp Converter
- cURL to Axios
- JSON to JSON Schema
These are intended as practical utilities for everyday development rather than replacements for proper testing, validation, documentation, or security practices.
If you regularly encounter a conversion task that is repetitive or time-consuming, it may also be worth adding a dedicated utility to your development toolkit.
Originally published by Dev.to WebDev. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.