What is a credit card statement analyzer?

A credit card statement analyzer extracts transaction data from your credit card statement and organizes it for analysis — total spending by merchant, monthly spend trends, largest transactions, category breakdowns, and year-on-year comparisons. Our tool converts the PDF statement to Excel or CSV so you can run these analyses with pivot tables or SUMIF formulas, without needing specialized software.

What pivot table should I use to analyze credit card spending?

Three pivot tables cover most analyses: (1) Spending by merchant: Rows = Merchant/Description, Values = Sum of Amount. Sort descending to see your top merchants. (2) Monthly spending: Rows = Month (group Date by month), Values = Sum of Amount. Spot seasonal patterns. (3) Category breakdown: Add a Category column using a lookup table, then Rows = Category, Values = Sum of Amount — shows how much you spend on food, travel, utilities, etc.

How do I find my biggest credit card charges?

After converting your PDF to Excel, select the Amount column and sort descending (Data → Sort Z to A). Your largest charges appear at the top. Apply conditional formatting → Color Scale to visualize amounts at a glance. For recurring large charges, filter by merchant name.

Which credit cards can be analyzed with this tool?

Bank Statement Engine supports credit card statements from 10,000+ issuers worldwide: American Express, Visa and Mastercard issued by Chase, Citi, Bank of America, Barclays, HSBC, Wells Fargo, Capital One, Discover, HDFC Bank, ICICI Bank, SBI Card, Axis Bank, Kotak Mahindra, and hundreds of regional banks and credit unions. Any card that produces a PDF statement is supported.

Can I analyze multiple months of credit card statements at once?

Yes — convert each monthly PDF to Excel separately using Bank Statement Engine, then paste all months into a single sheet (add a Month column to distinguish them). A pivot table on the combined data shows month-by-month trends across the full year. For annual analysis, add a Year column and compare across years.

How do I categorize credit card transactions in Excel?

Create a Category lookup table: Column A = merchant keyword (Amazon, Uber, Starbucks), Column B = Category (Shopping, Transport, Food). Then in your transaction sheet add: =IFERROR(VLOOKUP("*"&B2&"*",LookupTable!$A:$B,2,0),"Uncategorized"). For automatic categorization across hundreds of merchants, use XLOOKUP with a wildcard or Power Query to apply keyword-based category rules across all rows.

Can I detect fraudulent charges with this analysis?

Yes. In Excel, sort by Date to spot transactions you don't recognise. Use conditional formatting to highlight merchants you've never seen. Filter by Transaction Amount for small charges under £5/$5 — fraud often starts with micro-transactions to test a card. Sort by the same merchant across multiple dates to spot duplicate charges or unexpectedly recurring subscriptions.

How do I compare spending month over month?

Convert each month's statement PDF to Excel and paste all rows into one sheet with a Month column. Create a pivot table: Rows = Month, Values = Sum of Amount. Or use SUMIF: =SUMIF($A:$A,"Jan 2026",$C:$C) for each month. Chart the results as a column chart to see trends clearly.

Is the credit card statement analyzer free?

Yes — 100% free. Convert your credit card PDF to Excel at no cost, no signup required for up to 10 pages per day. A free registered account removes that limit.

Can I analyze corporate or business credit card statements?

Yes. Business and corporate credit card statements (Amex Business Gold/Platinum, Chase Ink, Citi Business, Barclaycard Business) are fully supported. Convert to Excel and run expense analysis by employee, department, or expense category using pivot tables.

What's the difference between a credit card statement analyzer and expense management software?

Expense management software (Concur, Expensify, Ramp, Brex) requires integration with your card issuer and charges monthly fees. A credit card statement analyzer works on the PDF you already have — no integration, no subscription. For teams that reconcile quarterly or process occasional one-off analyses, the PDF-to-Excel approach is faster and free. For high-volume continuous expense management, dedicated software adds value.

How do I find subscription charges I forgot about?

Convert 3–6 months of credit card PDFs to Excel and combine into one sheet. Use a pivot table with Rows = Merchant, Values = Count of transactions AND Sum of Amount. Sort by Count descending — recurring charges appear at the top. Any merchant appearing monthly with a fixed amount is a subscription. Sort by Sum of Amount to see which subscriptions are costing the most.

Can I export the analysis to Google Sheets?

Yes. Download the CSV or Excel from Bank Statement Engine, then open Google Sheets → File → Import → select the file. All transaction data imports cleanly. Google Sheets' QUERY function is particularly good for credit card analysis: =QUERY(A:C,"SELECT B, SUM(C) GROUP BY B ORDER BY SUM(C) DESC",1) gives you merchant totals without a pivot table.

Credit Card Statement Analyzer — Extract & Analyze CC Transactions Free

What You Can Analyze From a Credit Card Statement

Once your credit card PDF is converted to Excel, every transaction becomes a structured data point you can slice any way you want. No special software — just Excel or Google Sheets formulas and pivot tables you already know.

Top merchants by spend

Pivot table: Rows = Merchant, Values = Sum of Amount. Sort descending — see exactly where your money goes.

Monthly spending trend

Group Date by month in a pivot table. Chart the result to spot seasonal patterns and spending spikes.

Category breakdown

Add a Category column using VLOOKUP from a merchant lookup table. Pie chart: Food, Travel, Shopping, Utilities, Subscriptions.

Subscription tracker

Sort by Count of transactions per merchant. Recurring monthly charges surface immediately — cancel what you forgot about.

Largest single charges

Sort Amount descending. Top 10 rows show your biggest transactions — verify each is expected.

Fraud & duplicate detection

Filter by unknown merchants. Use conditional formatting on repeated merchant + amount + close date combos to surface duplicates.

How to Analyze a Credit Card Statement — 4 Steps

Convert PDF to Excel

Upload credit card PDF above — download clean Excel with Date, Merchant, Amount

Insert pivot table

Select all data → Insert → Pivot Table → Merchant in Rows, Amount (Sum) in Values

Add categories

Create a merchant lookup table, VLOOKUP to add Category column, pivot by category

Chart & share

Column chart for monthly trends, pie for category split — share with your accountant or team

Excel Formulas for Credit Card Analysis

Total spending by month

=SUMIF($A:$A,">=2026-06-01",$C:$C)-SUMIF($A:$A,">=2026-07-01",$C:$C)

Spending by merchant (SUMIF)

=SUMIF($B:$B,"Amazon*",$C:$C)

Count of transactions per merchant

=COUNTIF($B:$B,"Uber*")

Google Sheets QUERY — top merchants

=QUERY(A:C,"SELECT B, SUM(C) GROUP BY B ORDER BY SUM(C) DESC LABEL SUM(C) 'Total'",1)

Categorize transactions by merchant keyword

=IFERROR(VLOOKUP("*"&B2&"*",CategoryLookup!$A:$B,2,0),"Uncategorized")

Credit Card Statement Analysis by Card Type

American Express (Amex)

Amex statements include a detailed merchant category code (MCC) and a human-readable category on some card types. Our converter extracts the merchant description, transaction date, and amount. For Amex business cards (Business Gold, Platinum, Blue Business Cash), corporate card cardholder names are also extracted where present.

Chase (Visa)

Chase statements (Sapphire Preferred, Freedom Flex, Ink Business) include transaction dates, post dates, merchant names, and amounts. The converter handles multi-page Chase statements and produces a single clean Excel file covering the full statement period.

Citi (Mastercard / Visa)

Citi card statements (Double Cash, Strata Premier, Costco Anywhere, Diamond Preferred) are fully supported. Citi formats transaction descriptions consistently — city codes are stripped where present so merchant names are clean for pivot analysis.

HDFC Bank Credit Cards (India)

HDFC Bank credit card statements (Regalia, MoneyBack+, Millennia, Infinia) are extracted with INR amounts, DD/MM/YYYY date formatting, and reward point rows excluded from transaction data. GST/service charges on annual fees are extracted as separate line items.

ICICI Bank Credit Cards (India)

ICICI credit card statements (Amazon Pay, Coral, Sapphiro, Emeralde) are fully supported. The dedicated ICICI extractor handles both the current and savings card formats, cleaning Dr/Cr suffixes and removing header/footer rows automatically.

Barclaycard (UK)

Barclaycard statements are extracted with GBP amounts and UK date formatting. Foreign currency transactions show both the original currency amount and the converted GBP amount in separate columns for FX analysis.

Analyzing Multiple Months of Credit Card Data

To analyze a full year of credit card spending:

Convert each monthly statement PDF to Excel using Bank Statement Engine (12 files, 12 downloads).
Open a new Excel workbook. Create a sheet called AllTransactions.
Copy-paste data from each monthly file into AllTransactions — add a Month column (Jan 2026, Feb 2026, etc.).
Insert a pivot table on AllTransactions — Rows = Month, Columns = Category, Values = Sum of Amount.
This gives you a full-year spending breakdown by month and category in one view.

Finding Forgotten Subscriptions

This is one of the most valuable credit card analyses. In your converted Excel:

Add a Count column: =COUNTIF($B:$B,B2) — how many times this merchant appears.
Filter Count ≥ 3 (appears at least 3 months).
Sort by Count descending.
Any merchant appearing monthly with a consistent amount is a subscription — review each one.

Most users find 2–5 forgotten subscriptions this way — streaming services, trial offers that auto-renewed, or SaaS tools from old projects.

Frequently Asked Questions

How do I analyze my credit card statement?

Convert the PDF to Excel using Bank Statement Engine → insert a pivot table → Merchant in Rows, Amount (Sum) in Values, sorted descending. That gives you total spending by merchant. Add Date grouped by month to see trends. Add a Category column for full spending breakdown.

Can I analyze credit card statements in Excel?

Yes — Excel is ideal. Pivot tables, SUMIF, COUNTIF, and conditional formatting cover everything you need. Convert the PDF to Excel first (bank PDFs aren't directly importable), then use standard Excel tools.

Which credit cards are supported?

10,000+ card issuers globally — Amex, Visa, Mastercard, Discover, and bank-issued cards from Chase, Citi, HSBC, Barclays, HDFC Bank, ICICI Bank, SBI Card, Axis Bank, Kotak, and hundreds more.

How do I find forgotten subscriptions?

Add a COUNTIF column for each merchant. Filter on Count ≥ 3. Sort descending. Monthly recurring charges surface at the top — review each one and cancel what you no longer use.

Can I analyze multiple months at once?

Yes — convert each monthly PDF to Excel, paste into a single AllTransactions sheet with a Month column, then run a pivot table across the full year.

Is it free?

Yes — 100% free. No signup needed for up to 10 pages per day. A free account removes that limit.

Credit Card Statement Analyzer — Extract & Analyze Transactions Free

Upload your credit card statement PDF