JSON to Go Struct: Pro Tips and Common Mistakes
The single biggest lever for clean Go structs is the quality of your JSON sample: give the generator one complete example of every object shape and it will infer accurate types, correct tags, and the right optional fields. Most "wrong" output traces back to a thin or unrepresentative sample rather than the tool itself.
Below are the practices experienced Go developers use to get production-ready structs on the first pass, plus the mistakes that quietly cause bugs at unmarshal time.
Best practices for accurate structs
- Paste a maximal sample. Include every optional key at least once. The generator can only type fields it can see, so a sample missing a field produces a struct missing that field.
- Name the root after the resource. Replace the default
AutoGeneratedwith a meaningful name likeInvoiceso the code reads well and matches your package conventions. - Feed real values, not placeholders. A number written as
"42"(a string) types asstring; written as42it types asint. Use values that match the true wire format. - Merge variant rows into one array. If different records carry different keys, include several in an array so the tool marks the varying keys
omitemptyinstead of dropping them.
Number typing: the pitfall to watch
Go's static types make numbers the most common surprise. The generator types whole numbers as int and decimals as float64. That is correct for the sample, but it can bite you:
| Sample value | Inferred type | Watch out for |
|---|---|---|
42 | int | If the field can exceed int range or later carry decimals, widen it manually. |
9.5 | float64 | Fine for money? Consider a decimal type or cents-as-int to avoid float rounding. |
[1, 2.5] | float64 | Mixed arrays widen to float64 so every value fits β expected behaviour. |
1234567890123 | int | IDs that look numeric are often safer as string to avoid precision loss. |
Common mistakes and how to fix them
- Trusting a single record for an array. One element means required-only fields. Add a couple more so
omitemptyis applied where keys vary. - Ignoring null values. A JSON
nullgives the tool nothing to infer. Provide a non-null example, then switch the field to a pointer (*string) if it truly can be null. - Leaving large integer IDs as int. Snowflake-style or 64-bit IDs can lose precision; change them to
stringafter generating. - Editing tags by hand and breaking round-trips. Keep the generated
json:"originalKey"tags β they preserve the exact wire keys. Only add options, do not rename keys.
Troubleshooting bad output
If a struct looks off, re-check the sample first. Invalid JSON produces no result β run it through a validator. Fields typed as interface{} usually mean mixed or null values; supply a consistent example. Duplicate-looking structs are actually reused when shapes are identical, so if you see two, the shapes genuinely differ by a key.
Try the JSON to Go Struct generator β free and 100% in your browser.
FAQ
Should I keep or remove omitempty?
Keep it on genuinely optional fields so zero values are dropped when encoding. Remove it where you always want the key emitted, even when empty.
How do I handle fields that are sometimes null?
Provide a non-null sample so the base type is inferred, then change the field to a pointer type so nil distinguishes "absent" from "zero".
Why did my ID become an int I did not want?
Because the sample value was numeric. For large or opaque identifiers, change the field to string after generating to avoid float64 precision loss when values pass through JSON.
Is it safe to paste an internal payload?
Yes. Inference runs entirely in your browser and nothing is uploaded or stored, so confidential schemas never leave your device.
Related free tools
- JSON Validator β catch malformed samples before you convert.
- JSON Formatter β pretty-print and inspect nested structure.
- JSON to TypeScript β apply the same tips on the TypeScript side.
- JSON to CSV Converter β export sample data for review.
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