JSON Converterv1.0.0

Transform structured data between JSON, TSV (tab-separated values), and XML formats in any direction. Paste or import data in one format and receive the equivalent representation in another, preserving data types, hierarchy, and structure wherever possible.

• Select the Input Format dropdown to match the format of your source data. Choose from JSON, TSV, or XML.
• Paste your data into the Input Data textarea, or click Import File to load a file from disk. Supported file extensions include .json, .tsv, .xml, and .txt.
• Select the Output Format dropdown to choose the target format for conversion.
• Click Convert or wait for automatic conversion after a brief pause. The converted result appears in the Converted Output textarea.
• Click Copy to copy the result to your clipboard, or click Download to save it as a file with the appropriate extension.
• Open Settings to adjust conversion behavior. Indentation Spaces controls the formatting depth for JSON and XML output (0 produces compact single-line output). The First TSV row is header checkbox tells the converter whether to treat the first line of TSV input as column names. Flatten nested JSON to dot-notation for TSV expands nested objects into columns like "address.city" and "address.zip" so that deeply structured JSON translates cleanly into a flat table. XML Root Element Name and XML Item Element Name let you customize the wrapper and record tag names in XML output.
• Click Reset to clear all inputs, outputs, and saved settings, restoring every field to its default value.

All six conversion paths are supported: JSON to TSV, JSON to XML, TSV to JSON, TSV to XML, XML to JSON, and XML to TSV. When converting JSON arrays of objects to TSV, each object becomes a row and each unique key becomes a column. Nested objects are flattened using dot notation (for example, a key path of "address.city") when the flatten option is enabled. When converting TSV to JSON with headers enabled, each row becomes an object keyed by the header values. Numeric strings in TSV are automatically parsed to numbers, and the literals "true", "false", and "null" are converted to their JSON equivalents. XML conversion wraps each record in the configured item element and nests all records under the configured root element.

Data format mismatches occur frequently when moving information between systems, APIs, spreadsheets, and configuration files. Converting between JSON, TSV, and XML bridges these gaps without writing custom scripts or installing dedicated software.

• API Response Processing: Extract a JSON API response and convert it to TSV for quick analysis in a spreadsheet application. Paste the raw JSON, select TSV output, and copy the tab-separated result directly into a spreadsheet program.
• Spreadsheet to API Payload: Copy rows from a spreadsheet as TSV and convert them to JSON for use as a request body in REST API calls. The converter automatically structures each row as an object with header-derived keys.
• Legacy System Integration: Convert JSON data feeds into XML for systems that require SOAP or XML-based input formats. Customize the root and item element names to match the target schema.
• Configuration Migration: Move application settings stored in XML config files to JSON format for modern toolchains. Paste the XML source and receive a structured JSON object preserving the element hierarchy.
• Data Cleaning and Inspection: Load a TSV export from a database, convert it to JSON to inspect the structure, adjust values, then convert back to TSV for re-import. Round-trip conversion highlights formatting inconsistencies.
• Documentation and Reporting: Convert structured datasets to XML for inclusion in technical documentation that requires well-formed markup with descriptive element tags.
• Batch Data Preparation: Prepare bulk upload files by converting between the format your source system exports and the format your target system expects, eliminating manual reformatting across hundreds or thousands of records.
• Test Data Generation: Start with a small JSON sample, convert it to TSV, duplicate and modify rows in a spreadsheet, then convert back to JSON to produce larger test datasets with consistent structure.