Convert JSON to Excel

JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write and easy for machines to parse and generate.

Originally created for JavaScript, JSON quickly has become the dominant format for web data exchange due to its simplicity and versatility. It's now widely used across various programming languages and platforms.

Primarily used in web applications, JSON efficiently represents structured data from simple key-value pairs to complex nested objects and arrays, making it ideal for client-server communication.

Schema

JSON's flexible structure, while advantageous, can pose challenges for data integrity and processing, especially with large or complex datasets.

Konbert automatically detects the schema of your JSON data. By scanning your JSON file to identify its structure, we ensure all data is accurately captured and maintained throughout the conversion process, preserving the integrity of your information.

Character encoding

As stated by the RFC 8259, we expect strings in uploaded JSON files to be encoded in UTF-8.

If your file contains non UTF-8 characters, you might get an error when parsing your data.

Nested data

We support reading and flattening nested objects and arrays in case you want to convert it to flat data like CSV or Excel.

Microsoft Excel is a powerful spreadsheet application developed by Microsoft for Windows, macOS, Android, and iOS. It features calculation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).

Excel files can contain multiple sheets, and each sheet can contain multiple rows and columns of data. Excel supports various file formats, including XLS, XLSX, and CSV.

Key features of Microsoft Excel include:

• Data analysis tools like sorting, filtering, and conditional formatting
• Ability to create complex formulas and use built-in functions
• Charting and graphing capabilities for data visualization
• Pivot tables for summarizing and analyzing large datasets
• Macro recording and VBA programming for automation
• Collaboration features, including real-time co-authoring in newer versions

Excel is widely used in business, finance, and data analysis for tasks ranging from simple calculations to complex modeling and reporting.