JSON to TSV Converter
Convert JSON array of objects to TSV (Tab-Separated Values) and TSV back to JSON. Support nested object flattening, custom line endings, and full TSV compatibility.
About JSON to TSV Converter
Our free online JSON to TSV Converter is a powerful utility that transforms JSON arrays of objects into TSV (Tab-Separated Values) format and vice versa. TSV is a simple tabular data format where columns are separated by tab characters, making it ideal for data exchange between systems that need a lightweight, human-readable alternative to CSV.
The JSON to TSV conversion handles flat and nested objects. When flattening is enabled, nested objects like `{"address": {"city": "NY"}}` become `address.city` columns in the TSV output. Arrays are serialized as JSON strings within the TSV cell. The tool automatically detects all unique keys across all objects to generate a complete set of column headers.
The TSV to JSON conversion parses tab-delimited data with proper handling of quoted fields, escaped characters, and multi-line values. It reconstructs the JSON structure from the TSV rows, with options to preserve or unflatten dot-separated keys back into nested objects. The output is a clean array of JSON objects ready for use in APIs, databases, or applications.
TSV is preferred over CSV in many data pipelines and database import/export workflows because tab characters rarely appear in data values, eliminating the need for complex quoting and escaping rules. All processing happens directly in your browser, so your data never leaves your device. This ensures complete privacy and security for your sensitive data.
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Features
Bidirectional Conversion
Convert JSON to TSV and TSV back to JSON with a single click. Perfect for data transformation workflows.
Nested Object Flattening
Automatically flatten nested JSON objects into dot-separated TSV column headers for tabular representation.
Tab-Separated Format
Clean tab-delimited output with no quoting conflicts, ideal for database imports and data pipelines.
Custom Line Endings
Choose LF (\n) or CRLF (\r\n) line endings for cross-platform compatibility with Windows, Linux, and macOS.
Header Row Control
Optionally include or exclude the header row in the TSV output for flexible data export options.
Upload & Download
Upload TSV files directly or download converted data as .tsv or .json files for local use.
Auto-Convert
Enable auto-convert mode to transform your data automatically as you type in real-time.
Statistics
View input/output character counts, row count, and column count for quick data overview.
Privacy First
All conversion happens in your browser. Your data never leaves your device, ensuring complete security.
How to Use
Paste Your Data
Paste JSON array of objects or TSV data into the left input editor. Click "Sample JSON" or "Sample TSV" to load example data.
Configure Options
Choose your line ending style, nested key separator, and whether to flatten nested objects or include a header row.
Convert
Click "JSON to TSV" or "TSV to JSON" to perform the conversion. The result appears in the right output editor.
Copy or Download
Click Copy to copy the converted data to clipboard, or Download to save it as a .tsv or .json file for local use.
Frequently Asked Questions
What JSON format does this tool expect?
The tool expects a JSON array of objects, where each object represents a row and each key represents a column. For example: `[{"name": "John", "age": 30}, {"name": "Jane", "age": 25}]`. If your JSON is a single object or a nested structure, you may need to restructure it first. The tool handles objects with different keys - columns are generated from all unique keys across all objects.
What is TSV and why use it over CSV?
TSV (Tab-Separated Values) is a simple tabular data format where columns are separated by tab characters instead of commas. TSV is preferred over CSV in many data pipelines and database import/export workflows because tab characters rarely appear in data values, eliminating the need for complex quoting and escaping rules. This makes TSV simpler to parse and less error-prone when dealing with text that may contain commas.
How does nested object flattening work?
When flattening is enabled, nested objects are converted to flat key paths. For example, `{"user": {"name": "John", "address": {"city": "NY"}}}` becomes `{"user.name": "John", "user.address.city": "NY"}`. The dot separator can be changed to an underscore in the settings. Arrays within nested objects are serialized as JSON strings in the TSV cell.
What is the difference between LF and CRLF line endings?
LF (\n) is the standard line ending used on Unix/Linux and macOS systems. CRLF (\r\n) is the standard line ending used on Windows systems. Choose the line ending that matches your target system to ensure proper display and parsing. Most modern text editors and data tools can handle both formats.
Can it handle TSV with tabs inside quoted fields?
Yes, the TSV parser properly handles quoted fields that may contain tab characters, newlines, and double quotes (escaped as ""). The parser correctly distinguishes between field delimiters (tabs) and tabs that are part of field values, ensuring accurate conversion back to JSON.
Is this JSON to TSV converter free?
Yes, it is completely free to use with no registration, sign-up, or limits. You can use it as many times as you need for personal, educational, or commercial projects without any restrictions.
Does it work offline?
Yes, once the page is loaded, all JSON and TSV conversion happens entirely in your browser using JavaScript. No server communication is needed, so you can use it even without an internet connection after the initial page load.
Can it handle large datasets?
Yes, this tool can handle large datasets efficiently. Since all processing is done client-side, the performance depends on your device's capabilities. For very large datasets (hundreds of thousands of rows), conversion may take a few extra moments, but the results are just as accurate.
Is my data secure?
Absolutely. All JSON and TSV conversion happens directly in your browser using JavaScript. Your data is never sent to any server, stored, or logged. This ensures complete privacy and security for sensitive information like customer data, financial records, and confidential datasets.