The Debit Card Generator is a free online tool designed to generate valid debit and credit card numbers for testing, verification, and educational purposes. These numbers are created using the Luhn Algorithm, ensuring they meet standard validation rules but are not connected to real accounts or transactions.
This tool supports major card networks, including Visa, Mastercard, American Express, Discover, Diners Club, JCB, and more, making it a versatile choice for various applications. It is widely used by developers to test payment systems, validate card input fields, and verify application workflows without exposing real financial data. Educators and students also use the tool to explore card structures, BIN ranges, and algorithms in a secure learning environment.
Additionally, you can use the Credit Card Generator (by VCCGenerator), which also supports generating both debit and credit card numbers. It offers similar features and is an excellent alternative for testing and educational use, providing another reliable option for creating valid card data in a secure environment.
The Debit Card Generator tool works by creating valid card numbers based on the Bank Identification Number (BIN) and Luhn Algorithm.
Luhn Algorithm: This mathematical formula is widely used in the financial industry to validate card numbers. It ensures the numbers generated are suitable for testing but not linked to actual accounts.
Bank Identification Number (BIN): The first 6-8 digits of a card number, identifying the issuing institution. Users can select or input specific BINs to simulate numbers for particular banks or regions.
The tool allows users to quickly generate numbers for multiple networks, including American Express, Mastercard, Visa, Discover, Diners Club, JCB, and more, ensuring compatibility for testing payment gateways, backend systems, or application prototypes. All generated numbers pass basic checksum validation, making them reliable for non-transactional use.
1. Supports Debit and Credit Cards - Generate valid numbers for both debit and credit cards, covering all major networks such as Visa, Mastercard, American Express, Discover, Diners Club, JCB, and more.
2. Custom BIN Options - The tool allows users to select or input Bank Identification Numbers (BINs) to generate card numbers tied to specific banks, regions, or institutions. This feature is particularly helpful for region-specific testing scenarios.
3. Luhn Algorithm Compliance - All numbers adhere to the Luhn Algorithm, ensuring they pass basic validation checks. This guarantees accuracy for testing purposes while ensuring ethical use.
4. Quick and Accurate Results - The tool provides instant results, making it a convenient and efficient solution for generating test card numbers online.
5. Educational Utility - Ideal for students and educators, the tool provides a practical way to learn about card structures, BIN ranges, and financial algorithms without using real data.
Developers and testers use the Debit Card Generator to validate payment systems, ecommerce platforms, and backend integrations without relying on real card data. The tool allows them to simulate real-world scenarios where card numbers are required, ensuring that payment gateways, input fields, and financial transactions function as expected.
Using these generated numbers, developers can identify bugs, test error-handling mechanisms, and optimize payment processing workflows. For example, in an ecommerce platform, they can simulate checkout processes by inputting valid but non-functional card numbers, ensuring the platform handles transactions correctly.
For testers, the tool enables secure and controlled testing environments where sensitive financial data is not exposed. They can validate various scenarios, such as failed transactions, card expiration handling, or region-specific BIN restrictions, without risking real financial information.
The Debit Card Generator is a valuable educational resource for both students and educators. Students studying subjects like computer science, algorithms, or financial technology can use the tool to understand the fundamentals of card number structures, including BIN ranges, Major Industry Identifiers (MII), and validation mechanisms.
The tool is especially useful for exploring the Luhn Algorithm, a widely-used checksum formula for validating card numbers. By working with generated numbers, students can learn how the algorithm detects errors and ensures card number validity.
Educators can incorporate the Debit Card Generator into their teaching materials, offering practical demonstrations during lessons on payment systems, security protocols, and financial applications. This hands-on approach helps students grasp complex concepts more effectively by applying them to real-world scenarios.
Fraud detection teams benefit from the Debit Card Generator by simulating misuse scenarios to test and enhance their fraud prevention systems. By generating valid numbers, these teams can create diverse testing environments where they can evaluate the effectiveness of their security protocols.
For instance, fraud detection algorithms can be tested against patterns of misuse, such as multiple invalid attempts or region-specific BIN discrepancies. This allows teams to identify vulnerabilities and strengthen their systems to prevent real-world fraud attempts.
Additionally, the tool supports testing for chargeback scenarios and detecting suspicious activities, such as the use of invalid or expired cards. These insights help fraud prevention teams refine their detection capabilities and improve overall system security.
Businesses developing new financial services, such as virtual wallets, payment systems, or subscription models, can use the Debit Card Generator to test and prototype their products effectively. The tool provides realistic card numbers that mimic real-world scenarios, allowing developers to simulate customer interactions.
For example, a company designing a subscription service can test its billing system using generated numbers to ensure proper handling of recurring payments. Similarly, virtual wallet developers can validate features like card storage, input fields, and transaction logs without using real financial data.
By incorporating the Debit Card Generator into their prototyping workflows, businesses can identify and resolve potential issues early in development. This reduces the risk of errors in production environments and ensures a smoother product launch.
| ISSUING NETWORK | IIN/BIN RANGES | LENGTH |
|---|---|---|
| American Express | 34, 37 | 15 |
| Bankcard | 5610, 560221 – 560225 | 16 |
| China T-Union | 31 | 19 |
| China UnionPay | 62, 81 | 16 - 19 |
| Diners Club enRoute | 2014, 2149 | 15 |
| Diners Club International | 36 | 14 - 19 |
| 300 – 305, 3095, 38 – 39 | 16 - 19 | |
| Diners Club United States & Canada | 54, 55 | 16 |
| Discover Card | 6011, 622126 - 622925, 624000 - 626999, 628200 - 628899, 64, 65 | 16 - 19 |
| UkrCard | 6040, 6041 | 16 |
| RuPay | 60, 6521, 6522 | 16 |
| InterPayment | 636 | 16 - 19 |
| InstaPayment | 637 - 639 | 16 |
| JCB | 3528 – 3589 | 16 - 19 |
| Laser | 6304, 6706, 6771, 6709 | 16 - 19 |
| Maestro (UK) | 6759, 676770, 676774 | 12 - 19 |
| Maestro | 50, 56 – 69 | 12 - 19 |
| Dankort | 5019 | 16 |
| 4571 (Visa co-branded) | 16 | |
| MIR | 2200 – 2204 | 16 |
| NPS Pridnestrovie | 6054740 - 6054744 | 16 |
| Mastercard | 2221 - 2720 | 16 |
| 51 – 55 | 16 | |
| Solo | 6334, 6767 | 16, 18, 19 |
| Switch | 4903, 4905, 4911, 4936, 564182, 633110, 6333, 6759 | 16, 18, 19 |
| Troy | 979200 – 979289 | 16 |
| Visa | 4 (include partner brands: Dankort, Electron, etc.) | 16 |
| UATP | 1 | 15 |
| Verve | 506099 – 506198, 650002 – 650027 | 16, 19 |
| LankaPay | 357111 | 16 |
The tools and services provided by DebitCardGenerator.com are strictly intended for testing, verification, and educational purposes only. All generated debit and credit card numbers are random and comply with standard validation rules, such as the Luhn Algorithm, to ensure they are suitable for non-transactional use. These numbers are not connected to real financial accounts, banks, or credit institutions, and cannot be used for making purchases, conducting financial transactions, or engaging in fraudulent activities.