Generate random IMEI numbers aligned with live TAC data
Random IMEI lets you choose a device profile, pick your batch size, and receive Luhn-valid IMEI numbers sourced from curated Type Allocation Code pools.
Random IMEI workflow
- 1 Select phones, tablets, wearables, or foldables from leading OEMs.
- 2 Generate up to 50 unique random IMEI numbers with validated check digits.
- 3 Export results instantly via clipboard copy or CSV download.
- 4 Review transparent TAC metadata for audit-friendly documentation.
Random IMEI batch generator
Tailor a random IMEI batch with two inputs; we handle TAC alignment, serial randomisation, and checksum validation.
Manufacturer
Apple
Release year
2019
Radio profile
LTE / GSM
TAC pool
35292511
Compliance note
Random IMEI output is intended for QA, simulation, and developer testing. Please avoid registering generated values on live carrier networks or bypassing security controls.
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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 random IMEI numbers?
From mobile QA teams to academic researchers, random IMEI generation powers a wide range of legitimate workflows.
QA & Software Testing
Populate test databases with realistic IMEI numbers. Validate form inputs, API payloads, and data pipelines without using real device identifiers.
Mobile App Development
Simulate device registration flows, test IMEI-based feature gating, and build demo environments with plausible device data.
Telecom Research
Generate sample datasets for studying TAC allocation patterns, carrier compatibility, and device type distribution analytics.
Security & Compliance
Test IMEI validation logic, CEIR blacklist-check integrations, and device identity verification systems in staging environments.
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
Random IMEI mirrors the GSMA specification exactly: eight Type Allocation Code digits, six unique serial digits, and one Luhn checksum. This section condenses the essentials so you can brief QA teams, marketplace analysts, and compliance partners with confidence.
IMEI anatomy in three layers
- TAC · digits 1–8
- Points to the manufacturer and device family. Random IMEI updates these blocks weekly so your synthetic identifiers track new releases and refurbished inventory.
- Serial · digits 9–14
- Randomised production numbers unique to each export. They expose edge cases in activation flows without colliding across batches.
- Check digit · digit 15
- Calculated via the Luhn algorithm. If the sum of processed digits ends in zero, the IMEI passes validation. Random IMEI guarantees this for every row.
Random IMEI workflow checklist
- Select the OEM and device type that match your testing scenario.
- Generate between 1 and 50 random IMEIs with TAC metadata attached.
- Export to CSV or clipboard and assign batches to your QA scripts or marketplace reviewers.
- Archive completed batches and rotate to new TAC blocks to keep coverage broad.
Compliance guardrails
- Use Random IMEI output only for testing, staging, or fraud analysis—never for real device activation.
- Record which teams export data so you can revoke batches after audits.
- Pair IMEIs with the TAC insights provided to surface manufacturer, radio profile, and launch year instantly.
Manual Luhn check digit example
Random IMEI performs this calculation server-side, but here is the transparent walkthrough using the sample IMEI 35824011 345678 ?.
| Step | Result |
|---|---|
| 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. Because Random IMEI repeats this algorithm for every output, your QA scripts and fraud controls accept the numbers instantly.
Why Random IMEI replicates TAC behaviour
TAC datasets shift whenever manufacturers launch new SKUs or refurbish older inventory. Random IMEI applies those updates across your batches so payment gateways, activation services, and marketplace fraud filters respond as if real devices were present. Add this reference to onboarding materials and you will keep analysts, engineers, and compliance officers aligned on how synthetic IMEI generation supports trustworthy testing.
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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 mobile devices on cellular networks. It consists of an 8-digit Type Allocation Code (TAC), a 6-digit serial number, and a Luhn checksum digit.
Is it legal to generate random IMEI numbers?
Yes, generating random IMEI numbers for testing, development, and QA purposes is legal. However, Random IMEI output should only be used for testing, staging, fraud analysis, or development environments—never for activating devices on live carrier networks or bypassing security controls.
How does Random IMEI ensure valid numbers?
Random IMEI generates numbers using authentic Type Allocation Codes from real device manufacturers, applies randomized serial numbers, and validates each output using the Luhn algorithm. This ensures every generated IMEI passes standard checksum validation.
What are TAC codes and why do they matter?
Type Allocation Codes (TAC) are the first 8 digits of an IMEI number, assigned by the GSMA to identify specific device models and manufacturers. Random IMEI uses curated TAC datasets updated weekly to ensure generated numbers align with real-world device profiles.
Can I use Random IMEI for commercial purposes?
Random IMEI is free to use for QA testing, development, device simulation, and marketplace fraud analysis. The generated numbers should be used responsibly and only in testing or staging environments, never for fraudulent activities or live device registration.
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.
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