developer
CSV to JSON Converter
Paste CSV text and convert it into a JSON array without uploading files or storing raw data in custom analytics.
Convert CSV rows into a JSON array for quick development, testing, migration prep, and data cleanup tasks without uploading your data.
Result
How it works
Start from a sanitized sample
Remove customer data, account IDs, secrets, private URLs, and production-only values before pasting CSV. Keep only the columns and rows needed to test the shape.
Check headers before converting
Choose the delimiter and header mode, then inspect header names, duplicate columns, empty cells, and row counts before treating the JSON as an API seed or import preview.
Review copy/paste output
Copy the JSON only after checking that strings, numbers, booleans, dates, and blank values match what the destination system expects.
Examples
Name and score table
Input: name,score Ada,10 Linus,8
Output: [{"name":"Ada","score":"10"},{"name":"Linus","score":"8"}]
API seed data
Input: slug,title first-post,First post
Output: JSON objects ready to review before seeding a local API fixture
Mock API payload
Input: id,status 1001,ready
Output: Sanitized JSON fixture for a test request or documentation sample
Import preview
Input: sku,price A-100,19.99
Output: Previewable JSON rows before importing into another tool
Header cleanup
Input: First Name,Signup Date Ada,2026-08-25
Output: JSON keys to inspect and rename if the destination requires strict field names
Generated columns
Input: Ada,10 Linus,8
Output: [{"column1":"Ada","column2":"10"},{"column1":"Linus","column2":"8"}]
Tab-delimited values
Input: name score Ada 10
Output: [{"name":"Ada","score":"10"}]
Semicolon-delimited values
Input: city;country Seoul;KR
Output: [{"city":"Seoul","country":"KR"}]
Quoted comma
Input: name,note Ada,"fast, careful"
Output: [{"name":"Ada","note":"fast, careful"}]
Escaped quote
Input: name,note Ada,"said ""hello"""
Output: [{"name":"Ada","note":"said \"hello\""}]
Empty cells
Input: name,note Ada,
Output: [{"name":"Ada","note":""}]
FAQ
Does SOLVEOZA upload my CSV file?
No. This first CSV to JSON tool runs in the browser tool flow. CSV text and local file bytes are not sent to a SOLVEOZA conversion server.
Does SOLVEOZA store filenames?
No. The privacy contract forbids storing filenames in analytics, logs, URLs, metadata, or error messages for this tool.
Does SOLVEOZA store pasted CSV text?
No. Custom analytics may record only coarse tool events and safe buckets, not raw CSV, headers, row values, or JSON output.
What happens with malformed CSV?
The tool returns a generic validation message such as a quoting or row-width issue without echoing the private input value.
Can I use the first row as JSON keys?
Yes. The default mode uses the first row as headers. A generated-column mode can create column1, column2, and similar keys.
Do numbers become strings?
Yes. CSV cells are converted as text values in this first slice, so numbers become strings until you cast them in your destination system.
What happens with duplicate headers?
Duplicate or blank header names can produce confusing JSON keys. Clean up header names before importing the converted JSON into another system.
Which delimiters are supported?
The first slice supports comma, tab, semicolon, and pipe delimiters for common CSV and TSV cleanup tasks.
Can I convert very large files?
Not in this first slice. The browser safety limit is 512 KiB input, 5,000 rows, 100 columns, and 2 MiB generated JSON output.
Are spreadsheet formulas executed?
No. Formula-like values are preserved as strings in JSON. The converter does not evaluate spreadsheet formulas or expressions.
What should I check before importing the JSON?
Check row counts, column counts, header names, duplicate keys, empty cells, and whether your destination expects strings, numbers, booleans, or dates.