Online JSON to CSV Converter
Convert JSON to CSV online with our free tool. Enjoy quick and automated JSON to CSV conversions, customizable mapping, and step-by-step guidance.
Suited when you need consistent JSON-to-CSV output across batches of similar files.
Conversion focus
Private by design: JSON content is processed locally in the browser.
Need Custom Conversion?Drop a file here, or click to browse
Max 25 MB. Loads into the same editor as the Text tab; use Convert below.
Map each VCF field to a normalized table column. Use Include to choose output lines; Check all / Uncheck all sit under the mapping table.
| # | VCF Field | Mapping | Include |
|---|---|---|---|
| Provide input above to load mapping options. | |||
Column names and types feed SQL generation (same rules as the CSV tool).
| # | Field Name | Data Type | Max Size | Key | Include | Trim | NULL empty |
|---|---|---|---|---|---|---|---|
| Provide input to load columns. | |||||||
What this conversion is for
Turn valid JSON into a UTF-8 CSV grid so spreadsheets, warehouses, and Git diffs can consume the same scalars your API already emits.
- Flattening options live under Conversion options—pick how arrays become extra rows or combined cells.
- UTF-8 output preserves international text; choose delimiter to match your regional Excel defaults.
- Multiple detectable tables appear in Select table—pick the array slice you intend to ship.
How JSON flattens into rows and columns
- Objects supply column names; nested paths become dotted or prefixed headers depending on flatten mode.
- Arrays usually drive how many rows you get—expand per item, combine into one field, or retain indices via Conversion options.
- Primitives map to single cells; nulls can flow as empty cells so the next tool decides NULL vs blank.
- When several sibling arrays exist, pick the correct detected table so you export the slice analysts expect.
Use this output next
Database import and staging loads.
APIs, fixtures, and app payloads.
Reports and non-editable sharing.
Integrations and schema-friendly trees.
Suggested workflow
Paste JSON in the Text tab or upload a file; use Format when it helps.
Confirm the document parses—objects, arrays, and string quoting must be valid JSON.
Use mapping or options on this page so each JSON field lands in the correct CSV shape.
Convert, then copy or download UTF-8 CSV for spreadsheets or pipelines.
Before you convert
- JSON must be valid: duplicate keys, trailing commas, or BOMs break parsers.
- CSV loses rich typing—dates become text unless the next tool re-coerces.
- Keep a copy of the original JSON as the audit trail after you ship CSV.
Choose the right output
When to use CSV
- Ops or finance asked for a spreadsheet-friendly grid from an API payload.
- You need Git-diffable text for small tabular slices of a larger JSON document.
- Downstream ETL expects delimiter-separated files with explicit headers.
- You already validated JSON and only need scalar columns for reporting.
When not to use CSV
- Programs expect nested objects or arrays—use JSON or XML instead of flattening too early.
- You need executable INSERT/MERGE with keys—generate SQL rather than stopping at CSV.
- Recipients want typed Excel features immediately—ship XLSX, not plain CSV.
- Always-on replication belongs in APIs or streams, not repeated manual CSV drops.
Why use ConversionTab?
- Runs in your browser — privacy-first; sensitive JSON stays on your device until you copy or download.
- No uploads required — paste or pick a local file; nothing is sent to a conversion backend for the transform itself.
- Fast and secure — lightweight mapping UI with immediate preview for developer workflows.
- Built for everyone — clear steps for non-technical reviewers and power options for engineers.
Continue with other formats
Repo-native config and CI matrices instead of CSV.
Executable load scripts instead of CSV.
Contact bundles for phones and mail instead of CSV.
Typed spreadsheet review instead of CSV.
CMS and static web tables instead of CSV.
Reviewed JSON → CSV notes
Long-form FAQs live below—expand a section when you need edge cases or field rules.
Step 1: Input Method
Begin by selecting how you'll input your JSON data:
- Text Tab: Copy and paste your JSON data directly into the tool's input field.
- File Tab: Upload a JSON file from your device by clicking the 'Drop/Browse' area to select a file or drag and drop the file into the designated area.
Step 2: Field Separator
Specify the field separator character that separates individual fields or columns in the CSV file. Common separators include commas (,), semicolons (;), tabs, or spaces. Choose the appropriate separator based on your data's structure.
Step 3: Initiate Conversion
Once your JSON data is inputted and the field separator is specified, initiate the conversion process by clicking the 'Convert' button. This will transform your JSON data into CSV format.
Step 4: Download or Copy Data
After the conversion process is complete, choose your preferred method for accessing the converted CSV data:
- Download CSV File: Save the CSV file to your device for future use.
- Copy to Clipboard: Copy the CSV data to your clipboard for immediate use in other applications.
The JSON to CSV Converter helps you transform JSON into CSV effortlessly, designed for tabular data.
Perfect for spreadsheet tasks, this tool ensures secure, fast, and precise results for data processing.
You can either paste your JSON data directly into the input field or upload a file. Select CSV as the desired output format, and the converted file will be ready in moments.
Once processed, you can copy the CSV output using the copy icon or download it as a file by entering a file name.
1. What is JSON to CSV conversion?
The JSON to CSV conversion feature allows users to seamlessly convert JSON data into CSV format. This conversion facilitates data interchange and analysis across different platforms and tools that support CSV format.
2. What is the purpose of the "Field Separator" option?
The "Field Separator" allows you to specify the character or symbol that separates individual fields or columns in your CSV file. Common separators include commas (,), semicolons (;), spaces, tabs, bars (|), and hyphens (-). Choosing the correct separator ensures accurate conversion.
3. How do I specify a custom separator not listed in the predefined options?
If your CSV file needs to use a custom or less common separator not listed in the predefined options, you can enter it in the "Other" input field. This ensures that the conversion tool recognizes the correct separator and processes your data accurately.
4. Can I modify conversion options after starting the process?
Typically, you can modify these options before initiating the conversion process. However, it's important to review your settings carefully before converting to CSV, as changes made after starting the process may affect the results.
5. What if the JSON data is invalid?
If the JSON data is invalid, the converter may fail to process it and provide an error message. It's crucial to ensure that your JSON data valid before attempting conversion to CSV.
6. How do I format the JSON before conversion?
ConversionTab offers a 'Format' button that allows you to format your pasted JSON data before initiating the conversion process.
7. How do I obtain the CSV output?
Once the conversion settings are configured, users can initiate the conversion process by clicking the 'Convert' button. The resulting CSV data is displayed in a textarea, providing users with two options:
- Copy: Users can copy the generated CSV data for use elsewhere.
- Download: Users can download the CSV file, with the option to specify a custom file name if desired.
This flexibility ensures that users can choose the most suitable method for accessing their converted data.
8. Is there an example JSON and a way to reset the input/output data?
ConversionTab offers additional features to improve the user experience:
- Example JSON: Users can access a sample JSON by clicking the 'Example' button, which fills the text area with sample data, facilitating the understanding of the conversion process.
- Reset Functionality: To clear input and output data, users can utilize the 'Clear' button, ensuring a clean slate for new conversions or adjustments.
JSON is parsed as structured input for this page. Use complete rows, valid syntax, and consistent field names so the converter can preserve the important data when creating CSV.
CSV is generated from the parsed JSON data. Review the output before importing it into another system, especially when the destination expects strict columns, dates, or contact fields.
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