JSONToTable
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How to Convert PSV to JSON - Step by Step Guide

Convert pipe-delimited rows into JSON structures compatible with modern APIs and data tooling.

Step 1

Input PSV and Choose Header Mode

Paste data, upload a PSV file, or use sample input. Keep First row is headerenabled when row 1 contains field names; disable it to generate automatic keys.

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Header mapping: Column names become JSON object keys.
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No header mode: Auto-generated keys like field1, field2.
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Quoted values: Keep embedded pipes, or line breaks, by wrapping values in double quotes.

Example Input PSV

name|age|city|active
Sarah Chen|28|New York|true
"Doe | John"|30|"New York | NY"|false
Michael Rodriguez|32|London|true
Step 2

Review JSON Array Output

Output is produced as an array of JSON objects. Parsing behavior follows standard JSON shape rules from RFC 8259 so the result is script and API friendly.

PSV to JSON Example

Input PSV

id|product|price
1|Laptop|999.99
2|Mouse|29.99

Output JSON

[
  {"id": "1", "product": "Laptop", "price": "999.99"},
  {"id": "2", "product": "Mouse", "price": "29.99"}
]
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Pretty print: Use readable indentation for debugging and review.
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Compact mode: Disable pretty print when you need a compact payload.
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Whitespace control: Trim fields to avoid accidental key/value padding.
Step 3

Validate Before Download

Confirm output is syntactically valid JSON and then hand it to downstream tooling like jq or application runtimes using standard JSON APIs.

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Copy JSON: Fast for developer workflows and tests.
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Download file: Save as .json for versioned data assets.
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Error handling: Fix unclosed quotes or malformed rows before export.
Step 4

Continue JSON Workflow

After conversion, you can validate, format, and transform JSON for other systems.

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JSON Formatter for readable structure and review.
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JSON Validator for strict syntax checks.
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JSON to CSV or JSON to Table for reporting output.

PSV to JSON in Data Pipelines

PSV is practical for source files where commas are common in text. JSON is practical for API payloads, object mapping, and event processing. Converting PSV to JSON bridges legacy exports and modern services.

In scripting workflows, these conversion patterns align with Python json and dataframe tooling such as pandas to_json.

Frequently Asked Questions

How are duplicate headers handled?

Nothing gets overwritten. If two columns are both called id, the second one comes out as id_2 (then id_3, and so on). A blank header becomes Column N, using the column's position.

Are values converted to numbers and booleans automatically?

Not unless you ask for it. By default every value stays a string, exactly as written. Tick Detect numbers, true/false and null and plain numbers become JSON numbers, lowercase true/false/null become JSON values, and empty cells become null. Long IDs such as 8901240544102066246 are written digit for digit, while values that would change, like 00501 or 14.50, stay strings.

Does this support quoted pipes inside fields?

Yes. Use double quotes around values containing literal pipe characters.

Can I generate compact JSON for transport?

Yes. Disable pretty print to produce compact JSON output.

Is conversion local?

Yes. Parsing and conversion run in your browser session.

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