Extract Data from Credit Card Statements Automatically
Upload any credit card statement and get cardholder details, payment due dates, and every transaction extracted and structured without manual review.
Used by finance teams, expense auditors, and fintech developers worldwide.
Stop manually reviewing credit card statements for expense reconciliation
Pulling transactions from credit card statements to reconcile expenses, check for fraud, or categorise spending is slow and tedious at any volume.
❌ Before ParserBee
- Open each statement PDF and read transactions one by one
- Manually copy charge dates, merchants, and amounts into spreadsheets
- Miss duplicate or fraudulent charges in long statements
- Categorise spending manually for each transaction
- Process monthly statements in bulk at period end
✅ After ParserBee
- Upload statements via browser or API
- Extract all transactions with date, merchant, category, and amount automatically
- Review structured data for anomalies without reading the PDF
- Export categorised spending data for analysis and reporting
- Process statements as soon as they arrive — no backlog
How ParserBee Parses Credit Card Statements
Three steps from document to structured data — no templates or training required.
Upload the Document
Upload a PDF, PNG, JPG, or WebP file. Multi-page documents are processed as a single job.
AI Extracts All Fields
ParserBee identifies and extracts every field automatically — no training or configuration required.
Get Structured Data
Download as JSON or CSV, or use the API to push data directly into your systems on upload.
Fields Extracted from Credit Card Statements
The template comes pre-built with these fields. Add, remove, or rename any field before saving.
Sample Extracted Output
Upload a credit card statement and ParserBee returns a structured table like this — automatically.
| Field | Extracted Value |
|---|---|
| Cardholder | David Okafor |
| Card Number | **** **** **** 4472 |
| Statement Date | 30 Nov 2025 |
| Payment Due | 20 Dec 2025 |
| Minimum Payment | $45.00 |
| Total Amount Due | $2,847.90 |
| Credit Limit | $10,000.00 |
| Available Credit | $7,152.10 |
Transactions — extracted as a list
| Date | Merchant | Category | Amount |
|---|---|---|---|
| 03 Nov | United Airlines | Travel | $540.00 |
| 07 Nov | Marriott Hotels | Accommodation | $380.00 |
| 12 Nov | AWS | Software & Cloud | $214.80 |
Every field is pulled directly from the document. You define what to extract — ParserBee does the reading.
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Frequently Asked Questions
What fields are extracted from a credit card statement?
Cardholder name, card number, statement date, payment due date, minimum payment, total due, credit limit, available credit, and all transactions with date, merchant, category, and amount.
Can it extract statements from any credit card provider?
Yes. ParserBee adapts to any credit card statement format regardless of the issuing bank.
How are transaction categories extracted?
If categories are printed on the statement, they are extracted. If not, you can add a post-processing step to categorise by merchant name.
Can I detect duplicate transactions using extracted data?
Yes. Once extracted to structured JSON or CSV, you can apply deduplication logic in your own workflow.
Does it work with digital and scanned statements?
Yes. Both digital PDFs and scanned statement images are supported.
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Start extracting credit card statement data automatically today
Free to try. No credit card required. Works on your first upload.
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