Convert Excel to JSON

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

Excel files can have 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.

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

Originally created for JavaScript, JSON quickly became the go-to format for web data exchange because it's simple and versatile. Now it's used across many programming languages and platforms.

JSON is a staple in web applications. It can represent structured data from simple key-value pairs to complex nested objects and arrays, making it perfect for client-server communication.

Schema

JSON's flexible structure is great, but it can make data integrity and processing tricky, especially with large or complex datasets.

Konbert automatically figures out the schema of your JSON data. We scan your JSON file to identify its structure, making sure all data is accurately captured and maintained throughout the conversion process. This preserves the integrity of your information.

Character encoding

According to RFC 8259, strings in uploaded JSON files should be encoded in UTF-8.

If your file has non UTF-8 characters, you might run into errors when parsing your data.

Nested data

We can read and flatten nested objects and arrays if you want to convert them to flat data like CSV or Excel.