Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. This will do it, but depending on which language you are programming in (we always need to know that with regexs, so if this doesn't work for you, reply with the language used.
Your condition 5 (max 14 chars in the phone no) appears to be in error, since several of your examples contain 16 characters if they include dots or hyphens. You might want to allow for a space in extension numbers, eg ext 1234; if so add \s* in the appropriate place. Not the answer you're looking for?Browse other questions tagged php regex validation phone-number or ask your own question. Is it possible to reduce the divergence of a red laser pointer beam from 40 degrees to 1 degree?
Why does Uncle Bob suggest that coding standards shouldn't be written down if you can avoid it?
Users with the  regex badge can single-handedly close regex questions as duplicates and reopen them as needed. Even if you write a regular expression that matches exactly the subset "valid phone numbers" out of strings, there is no way to guarantee (by way of a regular expression) that they are valid mobile phone numbers. Since valid phone numbers consist only of digits, I doubt that rolling your own would risk missing some obscure case of phone number at least. I understand that not all mobile numbers exist, I just need to validate the format due to data entry errors (e.g. The Regular Expression ^\+[1-9]{1}[0-9]{7,11}$ fails for "+290 8000" and similar valid numbers that are shorter than 8 digits.
The longest numbers could be something like 3 digit country code, 3 digit area code, 8 digit subscriber number, making 14 digits. Not the answer you're looking for?Browse other questions tagged regex validation phone-number clickatell or ask your own question. What are the differences between these three "shapes" of the same variety of asparagus? Did you ever wonder what Regular Expressions are all about and want to gain a basic understanding quickly? In writing programs or web pages that manipulate text, it is frequently necessary to locate strings that match complex patterns. A good way to learn the arcane syntax of regular expressions is by starting with examples and then experimenting with your own creations. Suppose you spend all your free time scanning documents looking for evidence that Elvis is still alive. This is a perfectly valid regular expression that searches for an exact sequence of characters. With just a few special characters we are beginning to build powerful regular expressions and they are already becoming hard for we humans to read.
Suppose your web page collects a customer's seven-digit phone number and you want to verify that the phone number is in the correct format, "xxx-xxxx", where each "x" is a digit. If you don't find regular expressions hard to read you are probably an idiot savant or a visitor from another planet.
This works by searching for the beginning of a word (\b), then the letter "a", then any number of repetitions of alphanumeric characters (\w*), then the end of a word (\b). This is the same as example (5), but forced to fill the whole text string, with nothing else before or after the matched text. A problem occurs if you actually want to match one of the special characters, like "^" or "$". Try the last example with and without setting the "Multiline" option, which changes the meaning of "^".
It is simple to find alphanumerics, digits, and whitespace, but what if we want to find anything from some other set of characters?
This expression will find phone numbers in several formats, like "(800) 325-3535" or "650 555 1212". Sometimes we need to search for a character that is NOT a member of an easily defined class of characters.
Later, we'll see how to use "lookahead" and "lookbehind" to search for the absence of more complex patterns.
When using alternatives, the order is important since the matching algorithm will attempt to match the leftmost alternative first. Parentheses may be used to delimit a subexpression to allow repetition or other special treatment.
The first part of the expression searches for a one to three digit number followed by a literal period "\.". Unfortunately, this example allows IP addresses with arbitrary one, two, or three digit numbers separated by periods even though a valid IP address cannot have numbers larger than 255.
Expresso has a feature that diagrams expressions in a Tree structure, explaining what each piece means.
When subexpressions are grouped with parentheses, the text that matches the subexpression is available for further processing in a computer program or within the regular expression itself. A "backreference" is used to search for a recurrence of previously matched text that has been captured by a group.
This works by capturing a string of at least one alphanumeric character within group 1 "(\w+)", but only if it begins and ends a word. It is possible to override the automatic numbering of groups by specifying an explicit name or number.
Earlier, I showed how to search for a character that is not a specific character or the member of a character class.

Run the example and you will see that it fails when "q" is the last letter of a word, as in "Iraq". We used the "zero-width negative lookahead assertion", "(?!exp)", which succeeds only if the suffix "exp" is not present. This searches for an HTML tag using lookbehind and the corresponding closing tag using lookahead, thus capturing the intervening text but excluding both tags.
When a regular expression has a quantifier that can accept a range of repetitions (like ".*"), the normal behavior is to match as many characters as possible. I've described a rich set of elements with which to begin building regular expressions; but I left out a few things that are summarized in the following table. This article has no explicit license attached to it but may contain usage terms in the article text or the download files themselves. I'm trying to implement a javascript function to replace country code part of a phone number. I was trying to make it unnecessary to include the plus sign in the new country code, but I can't find a way of doing that other than what I've shown above. Replace the old phone number with a new phone number consisting of the first capture group (the plus sign) followed by the new country code ("852") followed by the rest of the phone number (" (533) 333 33 33").
How can I use regex in javascript to match the phone number and only the phone number in the sample string below? I've read that you can search a country using a Country Code (I tried it with Nokia Here it's wonderful), the code from my country is SV (I'm from El Salvador) but I don't know how to implement. How to get the iso3 country code.when i store the server but it is not store 100% of the database? I've been trying to find a way to do this but, have not found many resources that specifically relate to this situation.
I have some difficulties to get a regex running for these cases - sorry IA?m very new to regex and canA?t figure it out.
I'm localizing my iPhone app for multiple languages, and in addition to changing some of the strings I need to change some backgrounds.
I have a layout with graphics drawn in custom Views using the Canvas drawing primitives, plus a TextView and 2 buttons.
In any case, this does not check for overall length of the whole thing because of the other length checks it does; it would need a second regex, or, better, check the string length beforehand (eg in PHP by doing a call to strlen).
And thank you also, Taemyr, for alerting me to the fact that the round brackets have been removed from your examples, and that condition 2 stands as originally stated.
I'll adapt my answer, but will consider suspicious anyone with an international telephone number shorter than four digits. In several countries, mobile phone numbers are indistinguishable from landline phone numbers without at least a number plan lookup, and in some cases, even that won't help.
If you want to have better certainty, write a generator that takes a list of all valid country codes, and requires one of them at the beginning of the phone number to be matched by the generated regular expression. What I am saying is that you can have phone numbers where there is absolutely no way to tell from the sequence of digits whether it's a landline or mobile phone. My goal is to get you up and running with a basic understanding of regular expressions within 30 minutes.
For example, if you want to find all the Microsoft Word files in a Windows directory, you search for "*.doc", knowing that the asterisk is interpreted as a wildcard that can match any sequence of characters. This tutorial introduces the basics of regular expressions, giving many examples that are included in an Expresso library file. The "\b" is a special code that means, "match the position at the beginning or end of any word".
The asterisk "*" means repeat the previous term as many times as necessary to guarantee a match.
The syntax can be imposing for anyone, including those who use regular expressions frequently.
This is especially useful for validating input in which the entire text must match a pattern. The "\(?" searches for zero or one left parentheses, "[) ]" searches for a right parenthesis or a space. For example, Zip Codes come in two flavors, one with 5 digits, the other with 9 digits and a hyphen. If the order is reversed in this example, the expression will only find the 5 digit Zip Codes and fail to find the 9 digit ones. This is enclosed in parentheses and repeated three times using the "{3}" quantifier, followed by the same expression without the trailing period.
It would be nice to arithmetically compare a captured number N to enforce N<256, but this is not possible with regular expressions alone. By default, groups are numbered sequentially as encountered in reading from left to right, starting with 1. It then looks for any amount of whitespace "\s*" followed by a repetition of the captured text "\1" ending at the end of a word. The third "(?:exp)" does not alter the matching behavior, it just doesn't capture it in a named or numbered group like the first two. They look for things that go before or after the current match without including them in the match.
What if we simply want to verify that a character is not present, but don't want to match anything? A better method is to set the "Ignore Pattern Whitespace" option, which allows whitespace to be inserted in the expression and then ignored when the expression is used. If it matches at this point, the subexpression yes becomes the next match, otherwise no is used.

If name is a valid group name, the yes expression is matched if the named group had a successful match, otherwise the no expression is matched. Essentially, it uses three capture groups: one for the plus sign, one for the country code, and one for the rest of the phone number. I'm trying to get a text field to automatically populate the telephone country code for a specific country.
They probably saw the inconsistencies (especially over the brackets), decided it was too mixed up to bother with.
For example, in Sweden, lots of people have "ported" their regular, landline-like phone number to their mobile phone.
Since your question was for a regex to check whether a given string is a valid mobile phone number, this is relevant.
Expresso can be used to try out the examples and to experiment with your own regular expressions. This expression will only match complete words spelled "elvis" with any combination of lower case or capital letters. This makes errors common and creates a need for a simple tool for building and testing expressions. Thus, "[aeiou]" matches any vowel and "[.?!]" matches the punctuation at the end of a sentence.
The next example tests various alternatives based on the starting digits to guarantee the limited range of numbers by pattern matching.
This automatic numbering can be seen in Expresso's skeleton view or in the results shown after a successful match. It is important to understand that these expressions match a position like "^" or "\b" and never match any text.
For example, what if we are searching for words in which the letter "q" is not followed by the letter "u"? If "q" is the last character of the word, it will match the whitespace character that follows, so in the example the expression ends up matching two whole words. With this option set, anything following a number sign "#" at the end of each line of text is ignored.
Sometimes, we prefer "lazy" matching in which a match using the minimum number of repetitions is found.
The left-hand column shows the number of an example in the project file that illustrates this construct.
It's still the same number as they had before, but now it goes to a mobile phone instead of a landline. For example, the pattern "\w+" is a concise way to say "match any non-null strings of alphanumeric characters".
Many such tools exist, but I'm partial to my own, Expresso, originally launched on the CodeProject.
In this example, notice that the "." And "?" lose their special meanings within square brackets and are interpreted literally. Unfortunately, it will also find cases like "650) 555-1212" in which the parenthesis is not balanced.
This shows that an expression can become cumbersome even when looking for a pattern that is simple to describe. Select nodes in the tree and expand them to explore the structure of this regular expression as shown in the figure.
Negative lookaround solves this problem because it matches a position and does not consume any text. All the quantifiers in Table 2 can be turned into "lazy" quantifiers by adding a question mark "?". If you want to read a book, I suggest the latest edition of Mastering Regular Expressions, by Jeffrey Friedl. After your first half hour, you should know a few of the basic constructs and be able to design and use regular expressions in your programs or web pages. We can also specify a range of characters, so "[a-z0-9]" means, "match any lowercase letter of the alphabet, or any digit". After highlighting a node, you can also use the Partial Match or Exclude Match buttons to run a match using just the highlighted portion of the regular expression or using the regular expression with the highlighted portion excluded. As with positive lookaround, it can also be used to match the position of an arbitrarily complex subexpression, rather than just a single character. Thus "*?" means "match any number of repetitions, but use the smallest number of repetitions that still leads to a successful match".
For those of you who get hooked, there are many excellent resources available to further your education.
With this library, you can readily search and replace text, decode complex headers, parse languages, or validate text. Finally, run the fourth and fifth examples; both should match the same numbers in the text. Try removing the initial "\b" and note that part of a Zip Code matched the format for a phone number.

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