Convert JSON to CSV
Choose file to convert
You have the option to convert your json file to csv, as well as a variety of other formats, using our free online converter.
How to convert json to csv?
Step 1
Upload json-file
You can select json file you want to convert from your computer, Google Drive, Dropbox or simply drag and drop it onto the page.
Step 2
Select «to csv»
Choose csv or any of the other 200+ supported formats you'd like to convert to.
Step 3
Download your csv file
Please wait for the conversion to complete, then click on the download button to obtain your converted file in the csv format.
The security of your files is our priority
Understanding the importance of the security of our users' data, we have implemented a number of measures to ensure reliable file conversion without the risk of information leakage or privacy violations.
Data encryption
All information uploaded to our platform is SSL encrypted, ensuring privacy during transmission.
Safe storage
After the conversion is completed, the files are stored on secure servers for 24 hours and are automatically destroyed, excluding access by third parties.
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Our file conversion tools are regularly tested for malicious code or vulnerabilities to eliminate the risk of a potential cyber attack.
Best tool to convert json to csv
Simply drag and drop your json files onto the webpage, and you'll be able to convert them to csv or over 250 different file formats, all without having to register, provide an email address, or include a watermark.
As soon as you upload your json files, we instantly delete them. Converted files are then deleted after 24 hours. Furthermore, we ensure that all file transfers are secure through advanced SSL encryption.
You don't have to go through the hassle of installing any software. We handle all json to csv conversions in the cloud, which means that none of your computer's resources will be used in the process.
json
Extension | .json |
Category | 🔵 documents |
Description | 🔵 JSON (JavaScript Object Notation) is a standardized data interchange format commonly used in web development and data transmission. Unlike the .doc format used by Microsoft Word, JSON is platform-independent and text-based, making it easily readable and writable by both humans and machines. JSON files consist of structured data organized into key-value pairs, similar to dictionaries or associative arrays in programming languages. In contrast to the binary .doc format, JSON files are human-readable and easy to parse, making them ideal for transmitting structured data between systems and applications. Additionally, JSON's simplicity and widespread adoption across programming languages make it a popular choice for data exchange in various domains, including web services, APIs, and configuration files. |
Technical details | 🔵 JSON syntax is based on the syntax of JavaScript objects, using curly braces {} for objects, square brackets [] for arrays, and key-value pairs separated by colons :. Each key-value pair is separated by commas. JSON supports various data types such as strings, numbers, objects, arrays, Boolean values, and null. Strings are enclosed in double quotes " ", and numbers can be integers or floating-point. JSON supports Unicode, allowing for a wide range of characters to be represented. It is typically encoded using UTF-8, ensuring compatibility across different systems and languages. JSON is schema-less, meaning that there is no formal definition required for the structure of JSON data. This flexibility allows for dynamic data exchange and easy adaptation to changing requirements. JSON is widely supported across different programming languages and platforms, with built-in parsing and serialization libraries available for most modern languages. |
Comma Separated Values File
Extension | .csv |
Category | 🔵 documents |
Programs | 🔵 Microsoft Excel 🔵 Microsoft Works 🔵 Corel Quattro Pro 🔵 Apache OpenOffice 🔵 LibreOffice 🔵 Microsoft Notepad 🔵 Libre Office 🔵 MobiSystems OfficeSuite Pro 7 |
Description | 🔵 The .csv (Comma-Separated Values) format is a simple text format used to represent tabular data. Each line in the file corresponds to a row in the table, with columns separated by commas. This format is widely supported by various applications, such as spreadsheet and database software. It is commonly utilized for transferring data between different programs, as well as for exporting and importing large volumes of data due to its ease of use and high compatibility. |
Technical details | 🔵 The `.csv` (Comma-Separated Values) format is a straightforward text format used for tabular data. In this format, each line represents a row in the table, with fields separated by a delimiter. Typically, a comma is used as the delimiter, but semicolons or tabs can also be used. Being a plain text format, it is universally compatible and easy to edit. The structure of a `.csv` file consists of rows and fields delimited by the chosen delimiter, without a standard schema. All data is treated as strings, with interpretation depending on the application importing the data. Optional headers can be included in `.csv` files, and various text encodings such as UTF-8 and ASCII are supported. When fields contain delimiters, they are usually enclosed in quotes and any internal quotation marks are escaped. Despite not being suitable for complex or relational data structures, the simplicity and flexibility of the `.csv` format make it popular for basic data exchange and import/export tasks across different programs. Its compatibility with common software, including spreadsheets and databases, ensures that it remains favored for straightforward data operations. |
Developer | 🔵 Microsoft |
MIME type | 🔵 text/comma-separated-values |