How to Convert Credit Card Statements to Spreadsheet
By Sandra Vu
Credit card statements contain valuable spending data trapped in PDF format. Converting to a spreadsheet unlocks analysis capabilities—similar to how a bank statement converter transforms bank PDFs into usable data.
Why Convert Credit Card Statements
Expense Tracking
- See exactly where money goes
- Identify spending patterns
- Track against budget categories
Tax Preparation
- Separate business from personal—essential for small business owners
- Calculate deductible expenses
- Prepare documentation for accountant
Budgeting
- Analyze monthly spending trends
- Compare spending across periods
- Identify areas to cut back
Reconciliation
- Match against receipts—see how to reconcile bank statements in Excel
- Verify charges are legitimate
- Dispute errors with documentation
Credit Card Statement Structure
Common Elements
| Field | Description |
|---|---|
| Transaction Date | When purchase was made |
| Posting Date | When it hit your account |
| Description | Merchant name and details |
| Reference Number | Transaction ID |
| Amount | Purchase amount |
| Category | Merchant category (some cards) |
Additional Sections
- Previous balance
- Payments and credits
- New charges
- Fees and interest
- Rewards summary
- Payment due date
Method 1: Statement Converter
The fastest way to convert credit card PDFs is using a bank statement converter. The same technology that extracts transactions from bank statements works for credit cards.
Steps
- Download PDF from credit card portal
- Upload to bank statement converter
- Select output format (Excel/CSV)—see bank statement formats explained
- Download converted file
Output Example
| Trans Date | Post Date | Description | Amount |
|---|---|---|---|
| 01/14/26 | 01/15/26 | AMAZON MKTPLACE | $47.99 |
| 01/15/26 | 01/16/26 | STARBUCKS #1234 | $5.75 |
| 01/16/26 | 01/17/26 | SHELL OIL 57832 | $52.00 |
Method 2: Credit Card Portal Download
Most credit card companies offer transaction exports:
American Express
- Log into amex.com
- Go to "Statements & Activity"
- Click "Download" icon
- Select CSV, Excel, or Quicken format
Prefer automated conversion? Try the American Express Statement Converter →
Chase
- Log into chase.com
- Go to credit card account
- Click "Download account activity"
- Select format and date range
Prefer automated conversion? Try the Chase Statement Converter →
Capital One
- Log into capitalone.com
- Go to account activity
- Click "Download Transactions"
- Choose CSV format
Prefer automated conversion? Try the Capital One Statement Converter →
Discover
- Log into discover.com
- Go to Statements
- Click "Download"
- Select Excel format
Prefer automated conversion? Try the Discover Statement Converter →
Citi
- Log into citi.com
- Go to credit card account
- Click "Download to Spreadsheet"
- Choose format
Prefer automated conversion? Try the Citi Statement Converter →
Credit Card vs Bank Statement Differences
Understanding the differences helps when you convert PDF bank statements to CSV versus credit card statements. For background on bank statement basics, see what is a bank statement.
| Feature | Bank Statement | Credit Card Statement |
|---|---|---|
| Date columns | Usually one | Often two (trans/post) |
| Amount sign | +/- | Usually all positive |
| Payments | Deposits | Credits |
| Balance | Running | Statement balance |
| Categories | Rarely included | Sometimes included |
Handling Specific Card Types
Rewards Cards
Statement may include:
- Points earned per transaction
- Total points balance
- Rewards redemptions
These may or may not convert—focus on transaction data.
Business Credit Cards
Often include:
- Employee card identification
- Department codes
- More detailed merchant info
Useful for expense allocation.
Store Credit Cards
May have:
- Store-specific formatting
- Promotional balance details
- Different layout than major cards
Adding Categories After Conversion
Categorizing expenses is key to meaningful analysis. Learn more about transaction categorization or how to categorize bank transactions automatically.
Manual Categorization
Add a "Category" column and assign:
| Description | Amount | Category |
|---|---|---|
| AMAZON MKTPLACE | $47.99 | Shopping |
| STARBUCKS | $5.75 | Dining |
| SHELL OIL | $52.00 | Gas |
Formula-Based Categorization
Use IF or nested IF:
=IF(ISNUMBER(SEARCH("AMAZON",B2)),"Shopping",
IF(ISNUMBER(SEARCH("STARBUCKS",B2)),"Dining",
IF(ISNUMBER(SEARCH("SHELL",B2)),"Gas","Other")))
VLOOKUP with Mapping Table
Create a lookup table:
| Keyword | Category |
|---|---|
| AMAZON | Shopping |
| STARBUCKS | Dining |
| SHELL | Gas |
| UBER | Transportation |
Then use VLOOKUP or INDEX/MATCH.
Analyzing Credit Card Spending
Spending by Category
Create a pivot table:
- Rows: Category
- Values: Sum of Amount
Monthly Trends
- Add Month column:
=TEXT(A2,"YYYY-MM") - Pivot by Month and Category
Top Merchants
Sort by amount descending to see where most money goes.
Average Transaction Size
=AVERAGE(C:C)
Preparing for Tax Season
Separate Business Expenses
- Add "Business/Personal" column
- Mark each transaction
- Filter for business only
- Sum by category
Create Expense Report
| Category | Annual Total |
|---|---|
| Office Supplies | $1,234.00 |
| Software | $2,500.00 |
| Travel | $3,456.00 |
| Meals (50%) | $800.00 |
Document Retention
- Keep converted spreadsheets
- Organize by year
- Match to receipts where required
Multi-Card Analysis
If you have multiple credit cards, combining them gives you a complete spending picture. The same approach works for merging multiple bank statements into one spreadsheet.
Combine Data
- Convert each card's statements
- Add "Card" column to each
- Combine into master spreadsheet
Unified Format
Standardize columns:
Date | Card | Merchant | Amount | Category
Compare Cards
- Which card do you use most?
- Which categories on which card?
- Optimize for rewards
Common Issues
For general troubleshooting, see common errors in bank statement conversion.
Issue: Payments Show as Charges
Credit card payments might appear in transactions.
Solution: Filter out or categorize separately. Look for "PAYMENT" in description.
Issue: Returns Not Matched
Return credits don't link to original purchase.
Solution: Note returns separately. Net effect shows in monthly total.
Issue: Foreign Transactions
International charges may show:
- Original currency
- Conversion rate
- USD amount
Solution: Typically the USD amount is what matters for analysis.
Summary
Converting credit card statements to spreadsheets enables expense tracking, budgeting, and tax preparation. Use your card's portal download feature or a statement converter to get the data. Add categories for meaningful analysis, create pivot tables for insights, and organize by year for tax season. The key is making the conversion part of your regular financial routine.
Related Guides
Getting Started
- What is a bank statement?
- Bank statement formats explained (PDF, CSV, OFX, QBO)
- Bank statement converter: PDF to Excel
Step-by-Step Tutorials
- How to convert bank statements to Excel step by step
- How to convert PDF bank statement to Excel
- Convert PDF bank statements to CSV online
- How to convert bank statements to Google Sheets
Data Analysis
- What is transaction categorization?
- How to categorize bank transactions automatically
- How to reconcile bank statements in Excel
- How to merge multiple bank statements into one spreadsheet
For Professionals

About Sandra Vu
Sandra Vu is the founder of Data River and a financial software engineer with experience building document processing systems for accounting platforms. After spending years helping accountants and bookkeepers at enterprise fintech companies, she built Data River to solve the recurring problem of converting bank statement PDFs to usable data—a task she saw teams struggle with monthly.
Sandra's background in financial software engineering gives her deep insight into how bank statements are structured, why they're difficult to parse programmatically, and what accuracy really means for financial reconciliation. She's particularly focused on the unique challenges of processing statements from different banks, each with their own formatting quirks and layouts.
At Data River, Sandra leads the technical development of AI-powered document processing specifically optimized for financial documents. Her experience spans building parsers for thousands of bank formats, working directly with accounting teams to understand their workflows, and designing systems that prioritize accuracy and data security in financial automation.