JSON to TSV Converter
Easily convert JSON data into Tab-Separated Values (TSV) format.
Drag & Drop your .json file here
or click to browse
JSON Input
TSV Output
Why Use This Tool? ✅
Simplifies Data Conversion
Easily switch from the nested structure of JSON to the flat, tabular format of TSV.
Supports Complex Data
Intelligently "flattens" nested JSON objects, creating clear headers like user.address.city.
User-Friendly Interface
Paste your data or upload a file and get your TSV with a single click. No expertise needed.
Ideal for Spreadsheets
Perfect for preparing complex API data for use in Excel, Google Sheets, or databases.
From Nested to Flat: A Guide to JSON and TSV 📜
In the world of data, information is structured in many ways. JSON (JavaScript Object Notation) is fantastic for web APIs and applications due to its flexible, nested structure. However, for data analysis, spreadsheets, and many databases, a simple, flat, tabular format like TSV (Tab-Separated Values) is often preferred. This tool is the perfect bridge between these two formats.
What is JSON?
JSON is a lightweight data-interchange format that is easy for humans to read and write and easy for machines to parse. It's built on two structures: a collection of name/value pairs (an "object") and an ordered list of values (an "array"). Its ability to nest objects within objects makes it extremely powerful for representing complex data hierarchies.
What is TSV?
TSV is a simple text format for storing tabular data. Each record in the table is one line of the text file. Each field value in that record is separated from the next by a tab character. It is a direct, flat representation of a data table, making it easy to import into spreadsheet programs like Microsoft Excel or Google Sheets, and into relational databases.
The Challenge: Flattening Data
The main challenge in converting JSON to TSV is handling nested objects. A simple converter might fail or produce confusing output. This tool uses a process called "flattening". For a nested object like {"user": {"id": 1, "name": "John"}}, it creates distinct columns by joining the keys with a dot. The resulting TSV headers would be user.id and user.name. This preserves the relationship of the data while making it compatible with a flat table structure.
Whether you're a data analyst cleaning API responses, a developer migrating data, or a student needing to view data in a spreadsheet, this converter streamlines the process, handling complex structures automatically so you can focus on the data itself.