Paste or upload CSV
The parser supports quoted cells, embedded delimiters, and line breaks inside quoted values.
CSV and spreadsheet tools
CSV to JSON Converter
Convert CSV data to JSON
JSON output
The result will appear here after you run the tool.
Press Ctrl or Command and Enter to run the tool.
About this tool
About this tool
CSV to JSON builds an array of JSON records from delimited text by using the first row as headers, detecting delimiters, and optionally inferring numbers, booleans, and nulls. Parsing is performed locally in your browser before export.
Paste or upload CSV to create an array of JSON records. Choose a delimiter, use the first row as headers, and infer numbers, booleans, and null values when needed.
Built for daily work
- Prepare spreadsheet exports for an API.
- Create seed data from a CSV file.
- Transform marketing or inventory records into JSON.
- Review CSV structure before database import.
How to use this tool
How to use this tool
Choose parsing options
Auto detect or select the delimiter and decide whether values should remain strings.
Review JSON records
Inspect the generated array, copy it, or download a .json file.
Key features
Key features
CSV aware parser
Quoted delimiters and escaped quote characters are handled correctly.
Type inference
Convert obvious numbers, booleans, and null values while preserving other text.
Header control
Use the first row as keys or generate column names automatically.
Practical use cases
Practical use cases
- Prepare spreadsheet exports for an API.
- Create seed data from a CSV file.
- Transform marketing or inventory records into JSON.
- Review CSV structure before database import.
Private by default
For local tools, input is processed in your browser and is not sent to application analytics.
Data processing noticeTechnical details
Technical details
Accepted files.csv and .txt
OutputJSON array of objects
Maximum local file25 MB
ProcessingLocal browser processing
Limitations and important notes
Limitations and important notes
- Malformed CSV quoting may require manual correction.
- Automatic type inference can change identifier values such as leading zero codes.
- Very large files are limited by browser memory in this release.
- Embedded newlines and unusual quoting depend on browser parser behavior and the selected delimiter.
Frequently asked questions
Frequently asked questions
Yes. A comma inside a properly quoted CSV cell is treated as content rather than a delimiter.
Yes. Disable type inference to preserve every cell as text.
Duplicate header names are made unique by appending a numeric suffix.
No. Standard CSV conversion runs locally in the browser.
It can infer common booleans and numbers when enabled, but you should verify important fields.
Related guides and solutions
Related guides and solutions
How to clean CSV data without losing important values
A practical CSV cleanup workflow that protects the original file, applies one transformation at a time, and verifies the export before import.
Learn moreCSV format reference for reliable imports and exports
A practical CSV reference for creating files that parse consistently across spreadsheets, databases, scripts, and import systems.
Learn moreHow to convert nested JSON to CSV
Choose one array of similar records, flatten object paths into stable column names, handle nested arrays deliberately, and inspect the output before importing it into a spreadsheet or database.
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