Payment Test Cards (CSV)
A reference list of well-known payment TEST card numbers (Visa, Mastercard, Amex, Discover, JCB, Diners) with sample CVV and expiry. These are published test values that pass the Luhn check but are not real accounts, for testing payment forms and card validators. Never use real card data.
brand,number,cvv,expiry,note
Visa,4111 1111 1111 1111,123,12/34,"TEST CARD — sample only, not a real account; passes the Luhn check"
Visa,4242 4242 4242 4242,123,12/34,"TEST CARD — sample only, not a real account; passes the Luhn check"
Mastercard,5555 5555 5555 4444,123,12/34,"TEST CARD — sample only, not a real account; passes the Luhn check"
Mastercard,2223 0031 2200 3222,123,12/34,"TEST CARD — sample only, not a real account; passes the Luhn check"
American Express,3782 822463 10005,1234,12/34,"TEST CARD — sample only, not a real account; passes the Luhn check"
Discover,6011 1111 1111 1117,123,12/34,"TEST CARD — sample only, not a real account; passes the Luhn check"
JCB,3566 0020 2036 0505,123,12/34,"TEST CARD — sample only, not a real account; passes the Luhn check"
Diners Club,3056 9309 0259 04,123,12/34,"TEST CARD — sample only, not a real account; passes the Luhn check"
Specifications
- Rows
- 8
- Note
- well-known published TEST card numbers; sample-only, never real accounts
- Validation
- all pass the Luhn check
Testing contract
Expected to pass- Scenario
- Exercise Payment Test Cards (CSV) in its banking workflow. A reference list of well-known payment TEST card numbers (Visa, Mastercard, Amex, Discover, JCB, Diners) with sample CVV and expiry.
- Expected result
- 8 data records using ',' delimiters and UTF-8; header fields are brand, number, cvv, expiry, note; data-record widths (columns:count) are {"5":8}. Declared feature checks: validation=all pass the Luhn check.
What is a .csv file?
CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.
How to use this file
Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.
How to use this file for testing
“Payment Test Cards (CSV)” is a deterministic Testaroo fixture for Form testing, Data import. HTML and PDF form files for testing scrapers, autofill, validators, and PDF form fillers across real-life use cases.
Documented properties for this file: 8 rows. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.
Code examples
import pandas as pd
df = pd.read_csv("test-cards.csv")
print(df.head())
print(df.dtypes)Generated by generation/data_domains.py. Free for any use, no attribution required, license.
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