IMEI Generator Online Tool

IMEI Generator: Free Online Tool

Testing a device registration flow, MDM platform, or telecom app? You need IMEI numbers that pass format validation without touching any real device. This free IMEI generator creates 15-digit, Luhn-valid IMEI numbers instantly, structured exactly like real ones, tied to no actual handset. No signup, no limits, nothing to download.

Every number generated here passes the Luhn check digit validation, the same structural check that device management software, carrier systems, and registration forms run before accepting an IMEI. But none of these numbers are assigned to real devices, so your test environments stay cleanly separated from actual hardware.

What is an IMEI Generator?

An IMEI generator is a tool that produces format-valid, 15-digit device identifiers on demand. Each output follows the same structure as a genuine IMEI, including a mathematically correct Luhn check digit, but corresponds to no physical device. QA and engineering teams use these numbers to test any system that validates, stores, or looks up device identifiers, without pulling identifiers from real hardware.

What is an IMEI Number?

An IMEI (International Mobile Equipment Identity) is a 15-digit code that uniquely identifies a mobile device on cellular networks. Every phone, tablet, or cellular-enabled device has one, and dual-SIM phones have two. Networks use the IMEI to identify the hardware itself, independent of the SIM card, which is how carriers block stolen devices and how device management platforms track hardware.

The number space behind these identifiers is centrally managed: the GSMA is the only body authorized by 3GPP to allocate device identifier ranges globally, and it tracks more than 10,000 new device models launched every year. That governance is what makes the IMEI reliable as a device fingerprint: the SIM identifies the subscriber, the IMEI identifies the physical handset. You can see your own device's IMEI by dialing *#06# on any phone.

How is an IMEI Number Structured?

An IMEI isn't random. All 15 digits follow a strict layout, and the last digit is a checksum, which is why an IMEI generator has to do real math rather than spit out arbitrary digits:

Each TAC covers up to 1 million individual devices, with serial digits running from 000000 to 999999, and GSMA policy assigns one TAC to one device model only. The final digit is computed with the Luhn algorithm, the same check-digit formula used for credit card numbers: software validates this digit before accepting an IMEI, which is exactly why format-valid test IMEIs matter for QA work.

IMEI vs IMEISV vs Serial Number

If your application validates device identifiers, your test data should match the right format for the right field. A 16-digit IMEISV pasted into a 15-digit IMEI field is a classic validation test case in itself.

How the IMEI Generator Works

The generator builds each number the same way a real IMEI is structured:

The result is structurally indistinguishable from a real IMEI at the format level, and connected to no actual device. It clears the checks your forms and APIs run, and fails the moment it's checked against a live device registry, which is exactly the combination testing requires.

How Do I Generate a Random IMEI?

For one-off numbers or bulk sets, the tool above is the fastest random IMEI generator: pick single or batch output and every number comes back Luhn-valid. When your test suite needs a fresh identifier on every run, embed the same logic directly in your fixtures:

import random

def luhn_check_digit(digits):
    total = 0
    for i, d in enumerate(digits):
        d = int(d)
        if i % 2 == 1:          # double every second digit
            d *= 2
            if d > 9:
                d -= 9
        total += d
    return (10 - total % 10) % 10

def generate_imei():
    body = "".join(str(random.randint(0, 9)) for _ in range(14))
    return body + str(luhn_check_digit(body))

generate_imei()   # e.g. '490154203237518'  (Luhn-valid)

function luhnCheckDigit(digits) {
  let total = 0;
  [...digits].forEach((c, i) => {
    let d = Number(c);
    if (i % 2 === 1) {          // double every second digit
      d *= 2;
      if (d > 9) d -= 9;
    }
    total += d;
  });
  return (10 - (total % 10)) % 10;
}

function generateImei() {
  let body = "";
  for (let i = 0; i < 14; i++) body += Math.floor(Math.random() * 10);
  return body + luhnCheckDigit(body);
}

generateImei();   // e.g. '490154203237518'  (Luhn-valid)

Use snippets like these inside test fixtures when your suite needs a fresh device identifier on every run.

Why is an IMEI Generator Used?

Because the alternative is worse. Pulling identifiers from real devices into test databases creates privacy exposure, risks colliding with production lookups, and simply doesn't scale when a load test needs 50,000 unique device records. Testers need IMEI numbers anywhere a system identifies a device: registration forms, MDM inventories, activation flows, blocklist checks. Generated numbers give those tests realistic input with zero connection to actual hardware.

The legal line deserves a direct answer, because it matters.

Generating format-valid IMEI numbers for software testing, development, and education is completely legitimate. Testing an MDM platform, a device registration form, or a telecom app against synthetic identifiers is standard industry practice, and it's exactly what this tool is for.

Changing or spoofing the IMEI of a real device is a different matter entirely. It is illegal in many jurisdictions, including the UK (under the Mobile Telephones (Re-programming) Act 2002) and several other countries, because IMEI tampering is primarily used to launder stolen phones past carrier blocklists. Generated numbers from this tool also can't be used that way in practice: carrier networks and device registries validate IMEIs against live allocation databases, not just the checksum. This tool creates test data for software, never identities for hardware.

Does This Work as a vivo, OPPO, realme, or Apple IMEI Generator?

Yes, because brand is just the prefix. Searches for a vivo IMEI generator, an OPPO IMEI generator, or an IMEI generator for Realme or Apple devices all describe the same tool with a different TAC: the first 8 digits identify the manufacturer and model, and everything after follows the identical serial-plus-checksum structure. A number built for a vivo test record differs from an Apple one only in that leading TAC segment.

For QA purposes that distinction rarely matters, since forms and APIs validate structure, not brand. If your test data does need to look like a specific manufacturer's device, prefix a known TAC for that model, generate the 6-digit serial, and recompute the Luhn digit; the code snippets above handle the math. The same output also feeds label-scanning tests: IMEIs are printed as barcodes on retail boxes and SIM trays, so pairing generated numbers with an IMEI barcode generator or IMEI QR generator lets you test warehouse and inventory scanning flows end to end.

What are the Features of This Tool?

This tool is built for engineering and QA teams that need realistic device test data on demand:

• Luhn-valid output: every generated IMEI passes the check-digit validation used by device software, forms, and APIs.
• Real structure: TAC, serial, and check digit segments laid out exactly like genuine IMEIs.
• Instant and unlimited: generate a single random IMEI number or bulk sets for data-driven test suites, with no rate limits.
• No real devices: numbers are not pulled from device registries, keeping test environments separated from actual hardware.
• Free forever, no signup: open the page, generate, copy, test.

How to Use the IMEI Generator

For automated testing, most teams export bulk IMEIs into fixtures or CSV files that feed data-driven tests. If you're validating device flows at scale, pairing generated identifiers with automated test case generation covers valid, invalid, and edge-case inputs without hand-writing each scenario.

Use Cases for the IMEI Generator

QA and engineering teams use generated IMEI numbers in scenarios like these:

• Device registration flows: verifying that onboarding forms accept valid-format IMEIs and reject malformed ones.
• MDM and device management testing: populating device inventories with realistic identifiers, without enrolling real hardware.
• Telecom and carrier applications: testing activation, blocklist, and device-lookup features in sandboxes.
• Emulator and simulator setups: assigning distinct identifiers to virtual devices in test farms.
• Automated regression suites: feeding bulk IMEIs into data-driven tests that run on every build.
• Load and performance testing: generating thousands of unique valid-format device records to stress-test device databases.

If mobile or device flows are core to your product, the tests that use these identifiers need to keep pace with your releases. That's the problem BotGauge solves, with AI agents that generate and maintain end-to-end tests automatically; book a 30-minute walkthrough to see autonomous testing on your own application.