Height (Metric and Imperial) Regex for Go
/^(?:(1[0-9]{2}|2[0-5][0-9])\s?cm)|(?:([1-8])'(?:\s?(?:0|[1-9]|1[01])"?)??)$/iWhat this pattern does
This page provides a comprehensive, battle-tested regular expression for matching height (metric and imperial), ported and verified for Go. Identity and credential patterns need both correctness and safety, since they're frequent targets for adversarial input. The snippet below is ready to drop into your Go project — whether you're validating in a Gin handler, a gRPC service, or a command-line tool.
Go Implementation
// Height (Metric and Imperial)
// ReDoS-safe | RegexVault — Identity & PII > Biometric & Physical
package validation
import "regexp"
var heightMetricAndImperialRe = regexp.MustCompile(`^(?:(1[0-9]{2}|2[0-5][0-9])\s?cm)|(?:([1-8])'(?:\s?(?:0|[1-9]|1[01])"?)??)$`)
func ValidateHeightMetricAndImperial(s string) bool {
return heightMetricAndImperialRe.MatchString(s)
}
// Example
// fmt.Println(ValidateHeightMetricAndImperial("175cm")) // trueTest Cases
Matches (Valid) | Rejects (Invalid) |
|---|---|
175cm | 99cm |
175 cm | 260cm |
6'2" | 9' |
5'10" | 5'13" |
5' | 5ft 10in |
200cm | cm175 |
183 CM | — |
When to use this pattern
This pattern is drawn from the Identity & PII > Biometric & Physical category and carries a ReDoS-safe certification. That matters for Go developers because Go's RE2 engine is inherently safe from catastrophic backtracking, but this pattern has been additionally verified for correctness. RegexVault audits patterns against known backtracking attack vectors, ensuring you have the necessary context before using this regex in a high-stakes production environment.
Common Pitfalls
Height alone is rarely identifying. Combined with name, DOB, and other attributes, it becomes part of a biometric profile. The GDPR biometric data category applies when height is processed to uniquely identify a person.
Technical Notes
Metric range: 100-259 cm (practical human height range). Imperial: 1-8 feet, 0-11 inches. Height is body measurement data — classified as sensitive personal data in some jurisdictions (biometric data under GDPR if combined with other identifiers).
Have a pattern that belongs in the vault?
Submit it for review — community-verified patterns get credited to your GitHub handle. Free submissions join the queue. Priority review available for $15.
Submit a Pattern