Random IMEI Generator

Choose a test profile and quantity to generate IMEI-shaped data for your software tests.

Advanced: repeatable batches and test cases

Your IMEI numbers will appear here

Choose a profile family, test profile and quantity, then select “Generate IMEI”.

Try a complete import test

Load positive and negative examples, compare expected outcomes with actual results, and download a runnable project. Everything in the lab runs in your browser.

Open the lab

What you can test

Use IMEI-shaped data in local software tests, inventory mocks and checksum examples without copying customer identifiers.

QA & Software Testing

Populate test databases with IMEI-shaped values. Check form validation, API request parsing and data imports.

Mobile app mocks

Build demo records and simulate app responses to IMEI fields. Set the expected device status in your mock.

Parser experiments

Compare how parsers handle prefix groups, leading zeros and formatting. The snapshot does not represent market distribution.

Rejection and error paths

Test malformed input and simulated blocked-device responses locally. Configure external status responses in the mock.

MDM inventory mocks

Test inventory imports and simulated enrollment responses in your software. Generated values do not enroll hardware.

Education & Training

Work through the 15-digit layout and Luhn calculation with examples whose expected results you can reproduce.

IMEI format and checksum

The generator follows the documented 15-digit IMEI structure: an eight-digit prefix, a six-digit testing serial and one Luhn check digit. It creates structurally valid fixtures; it does not issue or verify real device identities.

IMEI anatomy in three layers

TAC · digits 1–8
An authoritative TAC source can associate these digits with an allocated equipment type. Random IMEI has only an unverified, dated internal snapshot.
Serial · digits 9–14
Random six-digit test data. Values are unique only within the current batch and can repeat in later batches or coincide with assigned identifiers.
Check digit · digit 15
Calculated with the Luhn algorithm so each generated row passes the same structural checksum test used by the validator.

Random IMEI workflow checklist

  1. Choose the profile family and test profile for your sample.
  2. Generate between 1 and 50 Luhn-valid values with explicit snapshot confidence metadata.
  3. Export to CSV or clipboard and assign batches only to controlled QA scripts, mocks, or staging fixtures.
  4. Save the input and expected result together so you can repeat the test.

Using test data

  • Use Random IMEI output only for isolated testing, staging, documentation, or education—never for real device activation or identity checks.
  • Keep exported files labelled as test data in your own project.
  • Treat manufacturer, radio profile and release year as labels from the dated local snapshot, not as verified facts about a generated identifier.

Manual Luhn check digit example

Random IMEI performs this calculation server-side, but here is the transparent walkthrough using the sample IMEI 35824011 345678 ?

1 · Split digits

Lay out the 14 known digits with their positions: 3-5-8-2-4-0-1-1-3-4-5-6-7-8-?

2 · Double even-position digits

Double digits in positions 2, 4, 6, …, 14 (counting from the left). The raw results are:

5→10, 2→4, 0→0, 1→2, 4→8, 6→12, 8→16.

3 · Reduce to single digits

Convert any two-digit result by summing its digits: 10→1, 12→3, 16→7. Combine them with the untouched odd-position digits to produce the processed sequence:

3, 1, 8, 4, 4, 0, 1, 2, 3, 8, 5, 3, 7, 7.

4 · Add the untouched digits

Sum the processed digits. The total is 56.

5 · Find the check digit

The next multiple of 10 after 56 is 60, so the check digit is 4.

The final random IMEI is 358240113456784. The same calculation is applied to every output, so each row passes a standard Luhn checksum. Systems with registry or business-rule checks may still reject it.

How Random IMEI uses TAC-shaped fixture prefixes

TAC assignments and model mappings change over time. The bundled snapshot helps exercise prefix-aware test logic, but it cannot reproduce live carrier, marketplace or GSMA behavior. Use it only for isolated fixtures and verify production requirements against authoritative data.

Explore Our IMEI Tools

Everything you need to generate, validate, and understand IMEI numbers

IMEI Validator

Complete a 14-digit body or check a 15-digit IMEI, then separate TAC, serial section and check digit.

IMEI Knowledge Base

Learn about IMEI structure, TAC codes, validation methods, and testing best practices.

Frequently Asked Questions

Common questions about Random IMEI generation and usage

What is an IMEI number?

IMEI (International Mobile Equipment Identity) is a unique 15-digit code that identifies a mobile device on cellular networks. It consists of an 8-digit Type Allocation Code (TAC), a 6-digit serial number, and a final Luhn checksum digit. You can view your own IMEI by dialing *#06# on any phone.

Is it legal to generate random IMEI numbers?

Laws vary by jurisdiction. Keep outputs in isolated testing, staging, documentation or education and never use them to activate, impersonate or register a device, bypass controls, or commit fraud. Seek legal advice for regulated use.

How does Random IMEI ensure valid numbers?

Random IMEI selects an eight-digit prefix from its dated local snapshot, adds a random six-digit testing serial and calculates the Luhn check digit. This proves structural checksum validity only, not issuance or real-device status.

What are TAC codes and why do they matter?

Type Allocation Codes are the first eight IMEI digits and are officially allocated through GSMA for device models. Random IMEI uses a limited versioned snapshot; it is not the official database, exhaustive, live or updated on a guaranteed schedule.

Can I use Random IMEI for commercial purposes?

Random IMEI is available for controlled QA, development, documentation and education. Keep generated values in isolated test environments and out of live carrier, activation, warranty, finance, insurance and identity systems.

How many IMEI numbers can I generate at once?

You can generate up to 50 unique IMEI numbers per batch. Each batch ensures uniqueness within that generation and provides instant export via clipboard copy or CSV download for easy integration into your testing workflows.

How to generate an IMEI number?

Choose a profile family and test profile, select 1 to 50 values and click “Generate IMEI”. The tool combines a snapshot prefix, a random six-digit serial and a Luhn check digit. The profile is a label for your tests, not a verified model assignment.

How is an IMEI number generated?

An IMEI contains an eight-digit TAC, a six-digit serial and a Luhn check digit. The generator follows that mathematical layout for test fixtures, but random serial generation is not the same as manufacturer issuance and cannot guarantee global uniqueness.

What is a fake IMEI and when is it used?

A synthetic IMEI follows the numeric format and passes Luhn without being verified against official assignment records. It is useful as isolated test data, but a random value may theoretically coincide with an assigned identifier and must never be used in live systems.

Can I generate IMEI numbers for specific iPhone or Samsung models?

You can choose Apple, Samsung and other named test profiles. The names group fixtures from a dated local snapshot; their prefix-to-model associations are unverified. Selecting iPhone 11, for example, does not prove the generated value belongs to that model.