Convert CSV to Go online, free. CSV is a flat, row/column tabular format every spreadsheet and database understands. Go structs with field tags marshal cleanly to and from data formats. CSV to Go conversion parses your CSV against the RFC 4180 grammar (https://www.rfc-editor.org/rfc/rfc4180), builds an in-memory model of its keys, nested objects and arrays, then emits ready-to-use Go types as structs with json field tags following the The Go Programming Language Spec conventions. Processing runs in your browser in JavaScript with no upload or server round-trip — no size limit beyond your device's memory, so multi-megabyte documents convert in milliseconds and sensitive payloads never leave your machine. Typical uses include Go microservices, CLIs and encoding/json struct mapping.
It maps the full structure of your CSV onto idiomatic Go types, following the The Go Programming Language Spec conventions. 100% free, no registration, and complete privacy — everything runs locally in your browser, so your data never touches a server.
Paste CSV and generate Go types from Go immediately. Conversion runs client-side, so there is no upload wait and large documents stay fast.
Nested CSV objects, tables and arrays are mapped faithfully onto Go, including nested types and optional fields.
Your CSV never leaves your device — everything is processed locally in JavaScript, with nothing logged or stored.
Unlimited conversions with no account, no quotas, and no watermark. Works on desktop and mobile.
A CSV document and its Go equivalent:
CSV input:
name,age,active
Ada,36,trueOutput:
type Contact struct {
Name string `csv:"name"`
Age int `csv:"age"`
Active bool `csv:"active"`
}Paste your CSV into the editor and press "Convert to Go". The tool parses it against the RFC 4180 grammar, then generates Go types following The Go Programming Language Spec conventions — instantly and entirely in your browser. You can validate or format the CSV first to be sure it is clean.
CSV is flat and untyped: the header row supplies the field names and every column is read as text, so each row becomes one Go record whose fields you may want to retype.
Optional or nullable members in the generated Go are inferred from keys missing in some records of your CSV, following The Go Programming Language Spec. Include the optional fields in your sample so they are typed correctly.
CSV (Comma-Separated Values) (CSV) — CSV is a flat, row/column tabular format every spreadsheet and database understands. Go (Golang) structs (Go) — Go structs with field tags marshal cleanly to and from data formats. This converter maps the structure of your CSV onto Go so you can use it for Go microservices.
Yes. Invalid CSV is flagged with a clear error before anything is converted. Common CSV problems to check are a consistent column count per row and proper quoting of fields that contain commas. Starting from clean input keeps the generated Go accurate.
Yes. The entire CSV-to-Go conversion runs locally in your browser in JavaScript — your CSV is never uploaded, logged or stored. That matters when the data is something like spreadsheet import/export, which should not leave your machine.
The generated Go is ready for Go microservices, CLIs and encoding/json struct mapping. Copy or download it and drop it straight into your codebase.
CSV to Go conversion turns the columns of a CSV file into a typed Go struct describing one row. Each header becomes a field, and the converter infers the Go type from the column values — whole numbers become int, decimals become float64, true/false becomes bool, and everything else stays string. That gives you a struct ready to use with encoding/csv or a CSV-decoding library, instead of hand-writing field types.
CSV cells are untyped text, so to produce a professional struct the tool scans all rows of each column and picks the narrowest fitting type:
true or false (any case)..go file and decode your CSV into it.Decode a CSV export into typed Go values, scaffold a model for a data importer or ETL job, generate fixtures for tests, or quickly map the shape of an unfamiliar spreadsheet — all in your browser, with nothing uploaded.
It infers types. Columns become int, float64 or bool when every value qualifies; otherwise the field is string.
One row. Decode your CSV into a slice of the struct (e.g. []Row) to hold all records.
The converter emits clean field names and types; add csv:"..." tags for your specific decoder if it requires them.
No. Conversion runs entirely in your browser — your data never leaves your device.
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