CSV to JSON
Convert your CSV data to JSON format
What is CSV?
CSV (Comma-Separated Values) is a plain text file format used for storing tabular data, such as spreadsheets and databases. In CSV files, each line represents a row of data, and within each line, individual fields are separated by commas or other delimiters like semicolons or tabs. CSV files are widely used for exchanging data between different software applications because they are simple, lightweight, and easy to create and manipulate. They are compatible with most spreadsheet and database programs, making CSV a popular choice for data import/export tasks, data migration, and data interchange between systems.
What is JSON?
JSON (JavaScript Object Notation) is a lightweight data transfer format for representing structured data in a way that is both human-readable and easy to parse. As an alternative to XML, it is often used to communicate data between a server and a web application. JSON is made up of key-value pairs, where the keys are strings and the values can be strings, numbers, arrays, objects, booleans, or null. It is based on JavaScript syntax but is not language dependent, hence it is widely accepted across programming languages. JSON is simple for humans and machines to understand, making it a popular choice for data interchange in web development, APIs (Application Programming Interfaces), configuration files, and other scenarios that require structured data communication.
Converting CSV to JSON
Converting CSV (Comma-Separated Values) to JSON (JavaScript Object Notation) entails parsing and reorganizing the CSV data into JSON format. Each row in the CSV file is typically converted into an object in the JSON array, with column headings serving as keys for the relevant data. This translation method facilitates simple manipulation and interoperability of various data types and systems. Several programming languages and libraries provide functions or tools to automate this translation, allowing for more efficient data transformation operations in software development, data processing, and data transfer scenarios.