Phone Digits Normalizer E.164-Lite

Strip ASCII phone punctuation and prepend an explicit country code when + is absent, requiring a nonzero-leading maximum of 15 digits; no allocation or national trunk-prefix validation is performed.

Description

A phone number stored as text can contain spaces, parentheses or hyphens that hinder comparison.

A phone number stored as text can contain spaces, parentheses or hyphens that hinder comparison. A leading plus distinguishes a supplied international number from a local token to which this tool prepends the caller's country code.^[1]

Strip ASCII phone punctuation and prepend an explicit country code when + is absent, requiring a nonzero-leading maximum of 15 digits; no allocation or national trunk-prefix validation is performed.

When to use Phone Digits Normalizer E.164-Lite

Use this tool to strip ASCII phone punctuation and prepend an explicit country code when + is absent, requiring a nonzero-leading maximum of 15 digits; no allocation or national trunk-prefix validation is performed.

Choose the original CSV text, decoded cell strings, byte values or counts requested by this tool. Use the stated delimiter, encoding, indexing and number/date convention.

How to use Phone Digits Normalizer E.164-Lite and understand its results

Choose the original CSV text, decoded cell strings, byte values or counts requested by this tool. Use the stated delimiter, encoding, indexing and number/date convention.
Enter values, countryCode using the field table and calculation rules, then run the tool.
Read values. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
values	Values	list of string; maximum length: 10000; minimum entries: 0; maximum entries: 10000	Required
countryCode	Country code	string; maximum length: 3	Required

Enter cell strings and a one-to-three-digit countryCode beginning with 1–9. After trimming each cell, the tool permits ASCII digits, plus, parentheses, period, space, tab and hyphen, then removes the permitted punctuation. A leading plus prevents country-code prepending; otherwise the country code is prepended. The resulting token must contain only digits, begin nonzero and contain at most 15 digits. One invalid cell causes a cell-specific input error for the whole request.

normalized = '+' + digits; digit count must be 1…15 with a nonzero first digit

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
values	Values	list of string

json

{
  "input": {
    "values": [
      "(202) 555-0123",
      "+44 20 7946 0123"
    ],
    "countryCode": "1"
  },
  "output": {
    "values": [
      "+12025550123",
      "+442079460123"
    ]
  }
}

Limitations and assumptions

This is syntactic E.164-style cleanup, not a numbering-plan validator. It does not remove national trunk zeros, recognize an international 00 prefix, accept extensions or Unicode digits, or verify that a number is assigned or reachable.

Numeric inputs must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Extremely large text inputs are rejected. Cell-string lists also have a combined text budget of 100,000 UTF-16 units per list. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Column Type Inference From Sample: Infer empty, integer, decimal, or string from a column sample using ASCII decimal token syntax; blanks are ignored and leading-zero identifiers remain strings. For a complementary task, use ID Column Uniqueness Check: Check exact string ID uniqueness in a supplied column, treating empty strings and leading zeros literally; report indices of occurrences after each first occurrence.

References

Phone Digits Normalizer E.164-Lite — tool.io

Similar or alternative tools

Column Type Inference From Sample
Infer empty, integer, decimal, or string from a column sample using ASCII decimal token syntax; blanks are ignored and leading-zero identifiers remain strings.
ID Column Uniqueness Check
Check exact string ID uniqueness in a supplied column, treating empty strings and leading zeros literally; report indices of occurrences after each first occurrence.