Convert JSONLines to JSON

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

1
Pick Your JSONLines 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 JSON and download it instantly.
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JSONLines

JSON Lines, also known as JSONL, is a handy format for storing structured data that you can process one record at a time.

Each line in a JSON Lines file is a valid JSON object, typically representing a single record. The lines are separated by newline characters, making it easy to read and write sequentially.

This format works great for logging, streaming, and other scenarios where you want to process data line by line without parsing an entire JSON array.

JSON

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.

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