Convert JSON to NDJSON

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.

NDJSON (Newline Delimited JSON) is a convenient format for storing or streaming structured data that may be processed one record at a time. Each line in an NDJSON file is a valid JSON object, separated by a newline character.

This format is particularly useful for handling large datasets, as it allows for easy parsing and processing of data line by line without loading the entire file into memory.

Key Features

• Each line is a self-contained JSON object
• Simple to read and write sequentially
• Ideal for streaming and logging applications
• Supports partial processing of large datasets

NDJSON is commonly used in data pipelines, log processing, and scenarios where you need to append new data to existing files without modifying the entire structure.