Regular Expressions 101

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An explanation of your regex will be automatically generated as you type.
Detailed match information will be displayed here automatically.
  • All Tokens
  • Common Tokens
  • General Tokens
  • Anchors
  • Meta Sequences
  • Quantifiers
  • Group Constructs
  • Character Classes
  • Flags/Modifiers
  • Substitution
  • A single character of: a, b or c
    [abc]
  • A character except: a, b or c
    [^abc]
  • A character in the range: a-z
    [a-z]
  • A character not in the range: a-z
    [^a-z]
  • A character in the range: a-z or A-Z
    [a-zA-Z]
  • Any single character
    .
  • Alternate - match either a or b
    a|b
  • Any whitespace character
    \s
  • Any non-whitespace character
    \S
  • Any digit
    \d
  • Any non-digit
    \D
  • Any word character
    \w
  • Any non-word character
    \W
  • Non-capturing group
    (?:...)
  • Capturing group
    (...)
  • Zero or one of a
    a?
  • Zero or more of a
    a*
  • One or more of a
    a+
  • Exactly 3 of a
    a{3}
  • 3 or more of a
    a{3,}
  • Between 3 and 6 of a
    a{3,6}
  • Start of string
    ^
  • End of string
    $
  • A word boundary
    \b
  • Non-word boundary
    \B

Regular Expression
Processing...

Test String

Code Generator

Language

Generated Code

import re regex = re.compile(r"\b((?<street>(\p{L}[ ]?[-.]*)+ [0-9]{1,3}([ ]?[A-Za-z])?))\b|\b((?<zipcode>([A-Z-]+)?[0-9]+)[, ](?<city>(\p{L}[- ]?)+))\b", flags=re.MULTILINE) test_str = ("Michael Hohmann P.v.-Mallinckrodt-Weg 13a\n" "Experte für Marketing Automatisierung 33154 Salzkotten\n\n" " Tel: (0 52 58) 9 90 90-0\n\n\n" "Dianastraße 1 030 - 40 39 33 33\n" "13469 Berlin mhugo@stahlsdfsdf.berlin\n\n" "Dipl.Ing. Arch. Innenraum Großgörschenstrasse 5\n\n" "10827 Berlin Schöneberg\n\n" "Geschäftsführer Gubeslstrasse 24\n\n" "M +41 79 999 99 99 CH-6300 Zug\n\n" "Friedrichstraße 94\n" "Telefon +49 30 33333-33333 10117 Berlin\n\n" "Mobil +49 333 3333333 Lichtenberger Straße 17 a\n\n" "wilfreid.kroll@sdfsdf.de 10243 Berlin\n\n" "Unit 13, Le Moulin, Rue de Bali\n" "Pereybére 99999, Mauritius\n\n" "Wolfgang Leobner Unterer Grund 10\n" "Ressavarstraße 45, A-9384 Hartberg\n\n" "General Manager Horbeller Straße 33\n\n" "Poppelsdorfer Allee 89\n" "93828 Bonn\n\n" "Carl-Benz-Straße 13\n" "D-82937 Schweinfurt\n\n" "Luisenstraße 33 | 93720 Bad Dürrheim\n\n" "Schwändi 7 * 8486 Rikon\n\n" "Bogener Straße 8 94827 Neukirchen\n\n" "93939 Neuötting\n\n" "83927 Mannheim-Schönau\n\n" "Wörrst Straße 3\n\n" "Türrschmidtstr. 2a\n\n" "Lambertusweg 2\n\n" "Lerchenweg 4 \n\n" "D-29304 Eching am Ammersee\n\n" "Schönbuchstr. 34\n\n" "Neuenhofer Str. 7\n\n" "Meinekeestr. 26, 29304 Berlin\n\n" "Carmenstraße 17 - 18\n\n" "13432 Werder (Havel)\n\n" "Lenelshof 1 99930 Ratingen\n\n" "Rothenbasdfchaussee 80c\n\n" "Poller Kirchweg 990\n" "Poller Kirchweg 9903\n\n" "Weilstetter Weg 34B\n\n" "Gartenstraße 88U Fax: 93 (0) 33333 - 33333\n\n" "09392 Crottendorf Email: info@sdfsdf.de\n\n" "hauptstr.51\n\n" "Pantelsdfs Str. 33, A-3929 St. Pantaleon, Austria\n\n" "D - 88889 Dreieich\n\n" "Bahnhofstr. 77 93000 Kornewestheim Tel. 929293-39392\n\n" "Friedrichstraße 180 - 39302 Berlin\n\n" "Kupferteichweg 39 44444 Hamburg\n\n" "HEP Immobilien GmbH - Willicher Straße 1 - 33333 Willich\n\n" "Rosengasse 19\n" "A-3456 Groß Enzersdorf\n\n" "Karsten Poppe Neue Straße 22\n" "Finanz-/Versicherungmakler 33333 Wildeshausen\n\n") matches = regex.finditer(test_str) for match_num, match in enumerate(matches, start=1): print(f"Match {match_num} was found at {match.start()}-{match.end()}: {match.group()}") for group_num, group in enumerate(match.groups(), start=1): print(f"Group {group_num} found at {match.start(group_num)}-{match.end(group_num)}: {group}")

Please keep in mind that these code samples are automatically generated and are not guaranteed to work. If you find any syntax errors, feel free to submit a bug report. For a full regex reference for Python, please visit: https://docs.python.org/3/library/re.html