Fake US address generator
Create synthetic address samples with city/state/ZIP presets, optional units and local JSON or CSV export.
Generate US addressesDeveloper toolkit
Phone number testing tools
Validate formats, inspect country calling codes, test regular expressions and create disposable fixtures without uploading customer data.
Los Angeles addresses
Keep the Los Angeles, CA 90012 preset fixed while generating synthetic street and apartment samples.
Generate LA addressesPennsylvania address generator
Synthetic street and unit samples with the Philadelphia, PA 19107 preset. Copy or export JSON/CSV.
Generate PA addressesAlabama address generator
Synthetic street and unit samples with the Birmingham, AL 35203 preset. Copy or export JSON/CSV.
Generate AL addressesTennessee address generator
Synthetic street and unit samples with the Nashville, TN 37201 preset. Copy or export JSON/CSV.
Generate TN addressesWashington address generator
Synthetic street and unit samples with the Seattle, WA 98104 preset. Copy or export JSON/CSV.
Generate WA addressesPhone number validator
Check country code, digit length and basic national structure, then copy the normalized E.164 value.
Validate a numberCountry calling codes
Search by country, calling code or full international number, then inspect patterns, examples and guides.
Look up a codePhone regex tester
Run a JavaScript regular expression against phone-number fixtures and inspect every match.
Test a regexBulk test-data generator
Create up to 100 country-specific fixtures and export them as plain text, JSON or CSV.
Generate fixturesPhone parser and E.164 formatter
Detect calling codes from international input or convert national input into E.164, national and RFC 3966 formats.
Parse a numberCountry format dataset
Download calling codes, national patterns, examples and official-source links as JSON or CSV.
Get the datasetPhone format widget
Add the 31-country calling-code and E.164 reference to another site with one iframe.
Embed the widgetChoose the right tool for the job
Phone-number work usually fails when several different jobs are treated as one vague "validation" step. A checkout form may only need to reject obvious typos. A CRM import may need to normalize hundreds of rows before deduplication. A QA suite may need repeatable fixtures that never trigger outbound calls or messages. Start by naming the job, then pick the smallest tool that answers that specific question.
| Task | Use this tool | What it can safely tell you |
|---|---|---|
| Check one pasted value | Phone number validator | Whether the selected country's basic structure and E.164 conversion look plausible. |
| Convert display input | E.164 formatter | How one value should be represented for storage, display and RFC 3966 links. |
| Prepare QA fixtures | Bulk generator | A repeatable set of local test strings for forms, demos and seed data. |
| Debug a pattern | Regex tester | Whether a JavaScript expression matches the examples and negative cases you provide. |
| Review country context | Calling-code lookup | The supported calling code, national pattern, example fixture and source reference. |
For frontend forms
Pair the phone input with an explicit country selector, accept common pasted punctuation, and show the normalized interpretation before submission. Do not reject a half-typed value too early; reserve hard validation for submit or a clearly impossible state. If ownership matters, run OTP or call verification as a separate step and store that status separately from the formatted number.
For QA and seed data
Keep generated values in local, staging or test environments with outbound SMS and voice disabled. A structurally plausible number can still belong to someone when a country does not publish broad fictional ranges. Record the country, scenario and expected parser outcome beside each fixture so future failures are explainable instead of random.
For data imports
Normalize before deduplicating. Two rows that look different can represent the same destination after punctuation, trunk prefixes and country context are handled. Log counts and error categories, but avoid sending full phone strings to analytics, screenshots, issue trackers or routine application logs.
A practical testing workflow
- Define the country set. Start with the markets your product actually supports instead of pretending one global rule covers every plan.
- Create positive examples. Include one national display form and one E.164 form for each supported country.
- Add negative examples deliberately. Test one digit too short, one digit too long, unsupported calling codes, duplicated plus signs, alphabetic characters and extension handling as separate cases.
- Decide what happens after parsing. Structural validity is not the same as reachability, deliverability or user control.
- Repeat after metadata changes. Numbering plans and library metadata change; keep a small regression matrix with the release that introduced each expectation.
The phone-number testing checklist expands this workflow into a release-ready QA matrix.
What makes these pages more than a widget list
Each tool links into a maintained explanation page, country guide or dataset record so the user can see the rule behind the output. The country examples are not presented as live virtual numbers; they are labelled as fixtures with source notes and safety limits. That matters for both QA work and ad review because the page has to explain the value of the tool, not simply display a form surrounded by ads.
Designed for responsible testing
These tools perform structural checks and create format-accurate fixtures. They do not verify subscriber identity, reachability, carrier ownership or SMS capability. Generated examples are for development, documentation, demos and automated tests, not account verification, lead generation, messaging campaigns or contact enrichment.
GetPhoneNum keeps the tools client-side where practical. The generated phone values are not sent in analytics events, and the public dataset links each country record to a regulator, numbering administrator, ITU reference or documented source note. When a rule is uncertain, the country guide labels the limitation instead of claiming that a generated value is safe to contact.