Random IMEI Generator — Luhn-Valid Test Fixtures
Generate Luhn-valid test IMEIs from dated legacy fixture profiles for iPhone, Samsung, Pixel and others. Choose a profile and batch size; labels are not verified identities.
Manufacturer and model names are fixture profile labels from a dated legacy snapshot. Unless the badge says verified, the prefix-to-label mapping has no primary-source verification and does not identify a real device.
History is stored locally. Clear it anytime.
Awaiting your first random IMEI batch
Set your device profile and quantity in the form above, then press "Generate random IMEI batch". Your results will appear here with instant copy and CSV tools.
Who uses the IMEI generator?
From mobile QA teams to academic researchers, this IMEI generator powers a wide range of legitimate workflows — generate IMEI numbers for testing, simulations, and development without exposing real device identifiers.
QA & Software Testing
Populate test databases with realistic IMEI numbers. Validate form inputs, API payloads, and data pipelines without using real device identifiers.
Mobile & Cellular Number Testing
Simulate device registration flows, test IMEI-based feature gating, and build demo environments with plausible cellular number data for mobile apps.
Telecom Research
Generate labelled fixtures for studying parser behavior and the limited snapshot itself; do not infer carrier compatibility or live market distribution.
Security & Compliance
Test local format and Luhn logic, plus mocked blacklist or identity-service response branches, without sending generated values to live systems.
Enterprise MDM Testing
Verify mobile device management enrollment flows, policy enforcement rules, and inventory systems using synthetic IMEI pools.
Education & Training
Teach students about the IMEI structure, Luhn algorithm, and TAC allocation system with hands-on generated examples.
How IMEI Numbers Work — Generate IMEI the Right Way
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
- Select the fixture label and device-type scenario you need to exercise.
- Generate between 1 and 50 Luhn-valid values with explicit snapshot confidence metadata.
- Export to CSV or clipboard and assign batches only to controlled QA scripts, mocks, or staging fixtures.
- Archive completed batches and vary fixture prefix groups to broaden parser coverage.
Compliance guardrails
- Use Random IMEI output only for isolated testing, staging, documentation, or education—never for real device activation or identity checks.
- Record which teams export data so you can revoke batches after audits.
- 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
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?
Select a manufacturer and model from the generator above, choose a batch size from 1 to 50, and click "Generate". The tool picks a prefix from its dated local TAC snapshot, appends a random six-digit serial, and calculates the Luhn check digit. The result is structurally valid test data, not proof of an official device 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?
Yes. Use the manufacturer and model selectors in the main generator to choose supported Apple, Samsung, Xiaomi, Huawei, Motorola, OnePlus, Google, Sony and HMD Global profiles. The displayed mapping comes from the dated local snapshot and is not an authoritative device lookup.