Free Online Credit Card Data Extraction Tool: Test Data Regex Extractor

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Free Online Credit Card Data Extraction Tool: Test Data Regex Extractor

Client-Side Secure Extractor

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Supports .txt, .csv, .log
Found: 0
Valid: 0
Invalid: 0
Results will appear here...

Secure Client-Side Extraction

This tool uses advanced JavaScript regular expressions to identify credit card numbers within any text. It runs entirely in your browser, ensuring that your data never leaves your device. This makes it safe for use with sensitive logs or datasets.

Luhn Algorithm Validation

Every extracted number is verified using the Luhn Algorithm (Modulus 10), which is the standard checksum formula used to validate a variety of identification numbers, including credit card numbers.

Privacy First

We believe in Zero Knowledge privacy. Unlike server-side tools, we cannot see, store, or log your input. The "Share" feature uses client-side encryption (AES-GCM) so even if you share a link, the data is locked with a password only you know.

About Credit Card Data Extraction Tool

Credit Card Data Extraction Tool

Isolate card numbers, parse expiration dates, and extract test payment records from unstructured text files with the Free Online Credit Card Data Extraction Tool by VibeTool. Featuring privacy-preserving in-browser regex parsing.

Card Data Extractor Features

  • Regex Number Detection: Rapidly scans text blocks to locate 13 to 19 digit test payment card sequences.
  • Expiration & CVV Parsing: Extracts associated expiration dates (MM/YY) and 3-to-4 digit CVV security codes.
  • Card Brand Categorization: Identifies card schemes including Visa, Mastercard, Amex, Discover, and JCB.
  • Zero Data Transmission: Proprietary database dumps and sandbox records process entirely in local browser memory.
  • Flexible Data Export: Copy unique number sequences or export complete structured tables to CSV and JSON.

How to Extract Card Data from Text

  1. Paste your raw text, system logs, or test data dump into the editor area.
  2. Select extraction options such as Extract Card Numbers, Include Expiration Dates, and Include CVV.
  3. Click Extract Card Data to run the local regex parsing engine.
  4. Review extracted records and click Copy Extracted Data or Export CSV.

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