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office tool · On-device processing

CSV to JSON

Convert CSV files to JSON array of objects.

Processed entirely in your browser. The selected file is not uploaded to FileLume.

Accepted input

CSV

On-device processing

Processed entirely in your browser. The selected file is not uploaded to FileLume.

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No account required for core tools

Formats: CSV
Privacy: On-device processing. Processed entirely in your browser. The selected file is not uploaded to FileLume. The active file exists in browser memory for this tab. Closing, reloading, or clearing the workflow removes the active in-memory file and generated preview URLs.
Outcome: Convert CSV files to JSON array of objects.

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Supported: CSV · Outcome: Convert CSV files to JSON array of objects.

Processed entirely in your browser. The selected file is not uploaded to FileLume.

Settings

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Named presets

Save, duplicate and edit recurring jobs locally. No account, file, filename, or file content is stored.

Helpful details before processing

Convert a simple comma-separated table to a JSON array on this device, using the first non-empty line as property names.

Technical details · Reviewed 2026-07-13

What this tool does

Convert a simple comma-separated table to a JSON array on this device, using the first non-empty line as property names.

How it works in FileLume

  • The current parser splits non-empty lines by newline and splits each row by commas.
  • The first row becomes the JSON object keys; missing cells become empty strings.

Best for

  • Converting small, straightforward CSV exports into JSON objects.
  • Preparing sample data for development or API testing.
  • Inspecting tabular data as a JSON array.

Format and quality guidance

  • Use a header row with unique column names.
  • The current lightweight parser is intended for simple CSV without embedded commas or multiline quoted cells.

Trade-offs to expect

  • Every cell is exported as a string; numbers and booleans are not inferred automatically.
  • Simple comma splitting is fast but does not implement the full CSV quoting specification.

Limitations

  • Quoted fields containing commas or newlines can be parsed incorrectly.
  • Duplicate header names overwrite earlier values in each generated object.

Common errors and fixes

A row has shifted values.
Check for quoted commas or multiline cells; simplify or pre-clean the CSV before conversion.
The result is an empty array.
Provide at least a header row and one non-empty data row.
Numbers appear as strings.
Convert data types after export; the current parser intentionally returns string values.

CSV to JSON FAQ

Does the first row become JSON keys?

Yes. The first non-empty CSV row is used as the object property names.

Are numbers detected automatically?

No. Current CSV cells are exported as strings.

Does it support every CSV dialect?

No. The current implementation is a lightweight comma-and-line parser for simple tables.

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