JSON Viewer Read & Edit Your JSON Files Online

ZIP files can be a good way to save space on your device, but makes access difficult. To use a file in a ZIP archive, you would need to find the ZIP it was in and unzip it before opening it.

As you can see in the image above, the JSON file is much easier to read than in Notepad. After downloading and installing rocketdrivers.com/file-extensions/sig-7087 Notepad++, go to the Windows search bar and type Notepad++. Web browsers like Firefox and Chrome can also read JSON files. All you need to do is open a new browser window and drag and drop your JSON file into it. Alternatively, you can open the file using the same steps we described above, but choose Firefox or Chrome instead of Notepad.

  • Remove the white background by clicking on the ‘Remove BG’ button.
  • The first thing you need to use JSON is a parser that can interpret JSON data.
  • Thresholds specified as a negative number represent the maximum number of uncovered entities allowed.
  • Once you have created DataFrame from the JSON file, you can apply all transformation and actions DataFrame support.

There is also an application called The Unarchiver, which is also designed for Macs. Once you have your files in the generated folder, you can now go on to the business of compressing and password-protecting the files. First, note that if you are e-mailing files, most e-mail providers have a limit on attachment sizes. Secondly, some companies disallow the reception of compressed files via e-mail because people unknowingly open malware. As such, your attachment may get stripped and the e-mail server. Finally, you’ll need another method to transfer your files, such as via Dropbox. It’s always a good time to protect your important files.

How do I make a JSON file readable?

Zip files are a collection of various files that have been compressed into one file. Zip files are easy to send and transfer since they decrease the file size.

how zip file on mac

The json_pp is a Perl module intended to convert the input to different output formats and can also be used to pretty print JSON files. Every time the load() method attempts to parse an object, you are given the opportunity to intercede before the default decoder has its way with the data. You can do this by passing your decoding function to the object_hook parameter. Explanation
Here in the above program, we have imported a variable dataJson using the import module.


As JSON data is often output without line breaks to save space, it can be extremely difficult to actually read and make sense of it. This tool hoped to solve the problem by formatting and beautifying the JSON data so that it is easy to read and debug by human beings. We can read all JSON files from a directory into DataFrame just by passing directory as a path to the json() method.

Method 1. Using Required Module

One example is Google+, which uses JSON files for saving Profile data. After logging in, you can choose the “Data liberation” page and select “Download your Profile data.” The users are mostly used it to transmit the data from a web application to a server (to take a backup of the data) and vice-versa from a server to a web server (to restore the data).