Q: What delimiters are supported for CSV?

We support comma (,), semicolon (;), tab (\t), and pipe (|) delimiters. You can select the delimiter when converting to CSV or choose auto-detection when importing.

Question 1

How does JSON/CSV Converter work?

Accepted Answer

The Converter processes all data entirely in your browser using client-side JavaScript. When you upload a file, it's converted locally on your device. No data is sent to our servers, ensuring complete privacy and security.

Question 2

Is there a file size limit?

Accepted Answer

Yes. To keep conversions fast and reliable in-browser, uploads and pasted input are capped at 10 MB.

Question 3

What file formats are supported?

Accepted Answer

We support CSV (with various delimiters: comma, semicolon, tab, pipe), JSON (both arrays and objects), and Excel (.xlsx). Each format can be converted to the others.

Question 4

Is my data secure?

Accepted Answer

Yes. Your data is 100% secure because it never leaves your device. All processing happens in your browser, and no data is transmitted to our servers. We don't collect, store, or access any of your data.

Question 5

Can I convert nested JSON objects?

Accepted Answer

Yes! The Converter can flatten nested JSON structures into CSV format using dot notation (e.g., "address.city"). You can also customize which fields to include during conversion.

Question 6

How do I convert JSON without software?

Accepted Answer

You can use our web-based JSON CSV Converter directly in your browser without downloading or installing any software. Simply visit our website, paste your JSON data or upload a file, and convert instantly. All processing happens in your browser, so you don't need to install desktop applications or command-line tools.

Question 7

How do I customize my columns?

Accepted Answer

Use the Column Picker panel to select, rename, reorder, or exclude specific columns. You can save your column configurations as templates for reuse on similar datasets, saving time on repetitive conversions.

Question 8

What delimiters are supported for CSV?

Accepted Answer

We support comma (,), semicolon (;), tab (	), and pipe (|) delimiters. You can select the delimiter when converting to CSV or choose auto-detection when importing.

Question 9

What are conversion templates?

Accepted Answer

Templates save your column configurations for quick reuse. Instead of customizing columns every time, create a template with your preferred settings and apply it to new files instantly.

Question 10

How does conversion history work?

Accepted Answer

The History panel keeps a record of your recent conversions (up to 50 entries). Each entry stores the conversion metadata, allowing you to review what was converted and when. History is stored locally in your browser.

Question 11

How do I clear my data and history?

Accepted Answer

Clear your browser's cache and local storage, or use your browser's developer tools to delete the "conversion-templates" and "conversion-history" localStorage entries. You can also clear converted files anytime by refreshing the page.

Question 12

What Excel features are supported?

Accepted Answer

Our Excel export creates a formatted spreadsheet with proper headers, data types, and basic styling. Complex features like formulas, macros, or conditional formatting are not included.

Question 13

What's the easiest way to convert to Excel?

Accepted Answer

The easiest way is to upload your JSON or CSV file to our converter, then click the "Export to Excel" button. The tool automatically formats your data into a .xlsx spreadsheet with proper headers and data types. No Excel installation required - just download the generated file and open it in Excel, Google Sheets, or any spreadsheet application.

Question 14

How are special characters handled?

Accepted Answer

Special characters are properly encoded/decoded during conversion. Unicode characters, emojis, and international characters are supported. CSV files automatically handle escaping for quotes and newlines.

Question 15

Are different line endings supported?

Accepted Answer

Yes. The Converter handles Unix (LF), Windows (CRLF), and old Mac (CR) line endings automatically during import and exports with the appropriate line endings for your system.

Question 16

How are large numbers handled?

Accepted Answer

Large numbers are preserved as strings during conversion to prevent precision loss. If you need numeric calculations, ensure to convert them back to numbers in your application with proper validation.

Question 17

Does this work on mobile devices?

Accepted Answer

Yes! The Converter is fully responsive and works on smartphones and tablets. File selection works through your device's file picker, and the interface adapts to smaller screens.

Question 18

Which browsers are supported?

Accepted Answer

The Converter works on all modern browsers: Chrome, Firefox, Safari, Edge, and Opera. For best experience, use the latest version of your browser.

Question 19

Can I use this offline?

Accepted Answer

Once the page loads in your browser, the Converter continues to work if your internet connection drops. All processing is local, so you don't need internet to convert files.

Question 20

What export formats are available?

Accepted Answer

You can export as CSV (with customizable delimiters), JSON (formatted or minified), or Excel (.xlsx). Choose the format that best suits your needs.

Question 21

How do I use the sample data?

Accepted Answer

The Quick Samples feature provides pre-loaded sample CSV and JSON files to test the Converter. Click "Load Sample" to populate the input area with example data, then customize and convert as needed.

Question 22

Can I automate CSV conversions?

Accepted Answer

While our web interface is designed for manual conversions, you can automate the process using our conversion logic in your own scripts. For batch processing, you can use the converter repeatedly with different files, or integrate similar conversion libraries into your automation workflows. For enterprise automation needs, consider using dedicated ETL tools or scripting with libraries like pandas (Python) or papaparse (JavaScript).

Question 23

How do companies convert data formats?

Accepted Answer

Companies typically use a combination of tools depending on their scale: web-based converters like ours for quick ad-hoc conversions, spreadsheet software (Excel, Google Sheets) for small datasets, programming scripts (Python, JavaScript) for automated workflows, and enterprise ETL (Extract, Transform, Load) platforms for large-scale data pipelines. Our converter is ideal for teams needing quick, secure conversions without complex setup or data privacy concerns.

Question 24

How can I report a bug or request a feature?

Accepted Answer

Use the contact section below to send a message. Choose "Report Bug" or "Request Feature" to route your request correctly.

Frequently Asked Questions