CSV to C# Class Generator

Generate a C# class from CSV headers with type inference from sample data.

How to Use CSV to C# Class Generator

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CSV to C# Class Generator — Free Developer Utility

CSV to C# Class Generator reads your CSV headers and first data row, then produces a matching C# class with correctly typed properties — ready to use as a record type with CsvHelper or any other CSV parsing library. Rather than guessing whether a column holds an integer, decimal, date, or plain string, the tool inspects the actual sample value in your first data row: "30" becomes int, "29.99" becomes double, "2024-01-15" becomes DateTime, and anything else defaults to string. Column headers are automatically converted to valid PascalCase C# property names (spaces and special characters removed). This is a quick way to bootstrap a strongly-typed model when importing CSV exports from Excel, another system, or a data warehouse, without manually typing out every property and its type.

Keywords and Search Terms

Developers searching for this tool use terms like: csv to c# class, csv to csharp model, generate class from csv, csv column to c# property, csvhelper class generator. Tooliby provides this utility free with no signup, no watermarks, and no data logging.

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Every input you paste into Tooliby developer tools is processed in memory and immediately discarded. We do not log inputs, store results, or analyze your data.

Frequently Asked Questions

It's a reasonable starting point but not foolproof — if your first row happens to have an unusual value (like a numeric ID stored as text with leading zeros), review and adjust the generated type.

They're automatically converted to PascalCase by stripping non-alphanumeric characters and capitalizing each word, e.g. 'first name' becomes 'FirstName'.

Basic comma-delimited parsing is supported. Complex CSV with embedded commas inside quoted fields may need manual verification of the header parsing.

Yes, the plain property names and types work directly as a CsvHelper record class for both reading and writing CSV files.