Convert CSV to JSON: Flatten, Nest, and Handle Edge Cases
Convert CSV to JSON: handle headers, nested objects, type coercion, and encoding issues. Tools and code examples for Python, Node.js, and online converters.
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Tags: json, csv, developer-tools
Convert CSV to JSON: Flatten, Nest, and Handle Edge Cases CSV is the lingua franca of data exports — every database, spreadsheet tool, and analytics platform can produce it. But most modern APIs and applications expect JSON. Knowing how to convert CSV to JSON reliably, including the annoying edge cases, saves you from silent data corruption in production pipelines. The Basic Shape: Header Row as Keys The standard approach treats the first row as column headers and maps each subsequent row to a JSON object with those headers as keys. Input CSV: Output JSON: Notice that is a string , not the number . CSV has no type system — everything is text. You need to decide how to handle type inference. Python: csv.DictReader Python's standard library handles this cleanly: uses the first row as keys…
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