Numbers Regex Go Validator

What is Numbers Regex?

In Go (Golang), numbers can be validated using regular expressions via the built-in regexp package. These expressions help check patterns like integers or digit-only fields.

Go regex is often used for:

• Validating form fields like age, IDs, and quantities

• Extracting or matching numerical sequences in text

• Cleaning data by filtering out invalid numeric entries

Common Regex Patterns for Numbers:

• ^\d+$ : Matches a positive integer (e.g., 12345)

• ^\d+\.\d+$ : Matches a decimal number (e.g., 3.14, 0.75)

• ^\d{1,3}(,\d{3})*$ : Matches formatted numbers with commas (e.g., 1,000 or 100,000)

• ^-?\d+$ : Matches integers with optional minus sign (e.g., -42)

• ^-?\d+\.\d+$ : Matches signed decimal numbers (e.g., -3.14)

  
  

Examples with Go Code

Example 1: Validate Integer Numbers

Try it in the Go Regex Tester

package main

import (
    "fmt"
    "regexp"
)

func main() {
    pattern := regexp.MustCompile(`^\d+$`)
    input := "45678"
    isValid := pattern.MatchString(input)
    fmt.Printf("Is '%s' a valid integer? %t\n", input, isValid)
}

Example 2: Match Decimal Numbers

Use this along with Phone Number Generator to simulate full input forms.

package main

import (
    "fmt"
    "regexp"
)

func main() {
    pattern := regexp.MustCompile(`^\d+\.\d+$`)
    input := "123.45"
    isValid := pattern.MatchString(input)
    fmt.Printf("Is '%s' a valid decimal? %t\n", input, isValid)
}

Example 3: Match Formatted Prices

Combine with Zipcode Generator for e-commerce data validation.

package main

import (
    "fmt"
    "regexp"
)

func main() {
    pattern := regexp.MustCompile(`^\d{1,3}(,\d{3})*$`)
    input := "12,345"
    isValid := pattern.MatchString(input)
    fmt.Printf("Is '%s' a valid formatted number? %t\n", input, isValid)
}

Pro Tips

• Use MustCompile in Go for reusable regex patterns.

• For optional decimals, use ^\d+(\.\d+)?$

• Always anchor your pattern with ^ and $ for full match.

• Avoid overly permissive patterns—test edge cases like 0001, -0.0, etc.

  
  

How It Works

1. Paste your number regex pattern or use a preset.

2. Enter the test number input in the field.

3. Instantly see if it matches.

4. Adjust and refine your pattern live.

Use Cases

• Form validation for user IDs, age, or price fields

• Data cleaning for CSV imports with numeric columns

• Enterprise software input handling (billing, invoices, etc.)

• QA test scenarios for edge-case inputs

• Simulated e-commerce order totals

  
  

Combine With These Tools

• Go Regex Tester: Test full regex patterns in Go with live feedback.

• Email Generator: Create realistic emails for form validations.

• Phone Number Generator: Pair with numeric validation for sign-up fields.

• Password Generator: Validate numeric or alphanumeric password rules.

• Username Generator: Generate full test profiles.