Phone Parser & Formatter
Paste a phone number in any format and get it parsed, validated, and reformatted correctly — with country and line type (mobile, landline, VOIP) detected automatically.
Phone numbers arrive in wildly inconsistent formats depending on the source — with or without a country code, with different separator characters, sometimes with extra formatting characters like parentheses around an area code. Standardizing these consistently, and knowing whether a given number is even valid for its claimed country, requires the same kind of pattern knowledge this tool applies automatically rather than something worth maintaining by hand.
Paste a phone number, and the tool detects the country (or lets you specify it explicitly if the number is ambiguous without a country code) and shows the parsed result: whether it’s a valid number, its formatted international and national display versions, and its detected line type where determinable. Use bulk mode to paste and standardize a list of numbers at once, useful for cleaning up a contact list or CSV export with inconsistent formatting.
Frequently asked questions
How does it determine which country a number belongs to if there’s no country code included?
Without an explicit country code, correct detection generally isn’t possible from the digits alone (the same local number format can be valid in multiple countries), so specify the country manually in that case for a reliable result — the tool will flag when a number is ambiguous without that context.
What does “valid” actually mean here — does it confirm the number is currently in service?
No — validity checks that the number follows the correct structural format and length for its country and number type, not whether it’s an actively assigned, currently working number, since confirming that would require actually placing a call or querying a telecom carrier, which this tool doesn’t do.
Can it reliably tell the difference between a mobile and a landline number?
For many countries, yes, since mobile and landline numbers often follow distinct prefix patterns — but this isn’t universally reliable across every country’s numbering system, since some countries don’t structurally distinguish between the two in a way that’s detectable from the number alone.
Can I use this to clean up a whole spreadsheet of inconsistently formatted phone numbers?
Yes, bulk mode is built for exactly that — paste a list, and get back a standardized, consistently formatted version of the whole batch, which pairs well with the CSV cleaner if the numbers are part of a larger spreadsheet export.