Convert Excel to NDJSON

Upload your Excel file to convert to NDJSON - paste a link or drag and drop. Free for files up to 5MB, no account needed.

1
Pick Your Excel File
You can upload files from your computer or import from a URL.
2
Preview and Configure
Preview your file and configure the conversion options if needed.
3
Convert and Download
Click "Convert" to transform your file into NDJSON and download it instantly.
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Excel

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.

NDJSON

NDJSON (Newline Delimited JSON) is a handy format for storing or streaming structured data that you can process one record at a time. Each line in an NDJSON file is a valid JSON object, with a newline character separating them.

This format works great for handling large datasets. You can easily parse and process data line by line without loading the entire file into memory.

Key Features

  • Each line is a complete JSON object
  • Easy to read and write sequentially
  • Great for streaming and logging
  • Allows partial processing of large datasets

NDJSON is popular in data pipelines, log processing, and situations where you need to add new data to existing files without changing the whole structure.

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