How to Get a Chase Statement PDF into Excel

Excel is still the go-to tool for anyone who wants to sort, pivot, and chart their spending. Getting a Chase statement PDF into Excel is a two-step process: download the PDF from chase.com, then convert it to a format Excel can actually use. Here's the full walkthrough - including the Chase-specific steps and the Excel techniques that make the data genuinely useful.

Chase's PDF statements are formatted for human eyes, not for spreadsheets. The columns, headers, and running-balance rows that make the PDF readable are exactly what makes it hard for Excel to ingest. But the underlying data - every transaction with a date, a merchant name, and a dollar amount - can be extracted and landed in a clean Excel workbook. Here's how to do it without typing a single row by hand.

Why Excel users need a different approach than CSV users

The standard advice for bank data is to look for a CSV download inside online banking. Chase does offer one, but it comes with two important limits that matter more if Excel is your destination:

• The date range is short. Chase's built-in download covers recent activity - usually the current billing cycle and the one before it. If you need last quarter or the full prior year, the download button won't reach it.
• The format isn't Excel-ready. Chase's raw activity download is plain CSV with minimal structure. It lands in Excel as a flat list of transactions with no categories, no split between business and personal, and no groupings. You end up doing the sorting work yourself.

The better workflow for Excel power users: convert the official PDF statement and categorize at the same time, so you arrive in Excel with data that's already organized and ready for analysis.

Step 1: Download your Chase statement PDF

All Chase statement PDFs live in the same place, whether the account is a Chase Total Checking, a Chase Sapphire card, a Freedom Flex, or a business account.

On chase.com (desktop)

• Sign in at chase.com and click the account tile.
• Open the account and choose Statements & documents from the menu (on credit cards it may just read Statements).
• Select the statement period from the list. Each entry has a PDF icon.
• Download the PDF to your computer. Repeat for any additional months you need.

In the Chase Mobile app

• Open Chase Mobile and tap the account.
• Navigate to Statements & documents under Account services.
• Tap the month you need to open the PDF, then use the share icon to save it to your device or a cloud folder accessible from your computer.

A practical tip: if you need a full tax year, download all twelve monthly PDFs in one session while you're already signed in. Chase keeps approximately seven years of statements online.

Step 2: Convert the PDF to a format Excel can open

Excel cannot read a bank statement PDF directly. The data is locked in the visual layout of the PDF. You need a converter that extracts each row - date, merchant name, and amount - into a structured spreadsheet format.

Your main options:

• Online PDF converters. Fast, but they require you to upload a document containing your account number, balance, and full transaction history to a server run by someone else. For most people, that's an uncomfortable trade-off for a bank statement.
• Excel's own "Get Data from PDF" feature. Available in Excel 365 and recent versions on Windows. It works on simple tables but struggles with Chase's multi-column layout, running-balance columns, and multi-page headers. Expect significant manual cleanup.
• A local desktop converter. Parses the PDF entirely on your own computer and produces clean, column-organized data with no upload required.

Quill is built for this: drop in a Chase statement PDF and it reads every transaction locally, auto-categorizes each line, and lets you export to CSV (which opens in Excel) or directly to a .XLSX-compatible format. Nothing leaves your machine.

Step 3: Set up categories before you export

This is the step that saves hours of work in Excel. Once the transactions are extracted, a good converter auto-tags each one: groceries, restaurants, software subscriptions, fuel, travel. If you use a Chase account for both personal and business spending, you can also split transactions into Personal and Business before export - Quill does this automatically and lets you override any line where the auto-decision was wrong.

Doing the categorization inside the converter (rather than in Excel later) means you land in the spreadsheet with a usable Category column already populated, ready for a pivot table rather than requiring a manual sort first.

Step 4: Open in Excel and build your analysis

Once you have a clean CSV or XLSX file, open it in Excel. A well-structured output will have at minimum four columns: Date, Description, Category, and Amount. From there, Excel gives you a full toolkit:

• Pivot Table. Insert a pivot table with Category on rows and Amount summed. In under a minute you see exactly how much you spent on groceries, restaurants, and Amazon in any given month - without typing a formula.
• SUMIF / SUMIFS. Sum all transactions matching a merchant across the year, or sum all "Business" rows from Q1. Useful for specific lookups your accountant will ask for.
• Charts. A simple bar or pie chart of spending by category makes patterns obvious that a list of numbers hides. Monthly comparison charts are especially useful if you have multiple months imported into one workbook.
• Filters. AutoFilter on the Category or Description column to isolate all transactions with "Amazon" or all rows tagged Business. Faster than scrolling through a raw statement.

Getting multiple months into one workbook

For a full-year view, convert each month's PDF separately and paste each result into a new sheet in the same Excel workbook, or append all months to one sheet. The key is consistent column headers across every sheet - Date, Description, Category, Amount - so pivot tables and formulas work across months without adjustment.

If you use Quill, you can drop multiple statement PDFs in at once and export a single combined CSV covering the full date range, which eliminates the copy-paste step entirely.

Chase checking vs. Chase credit card: what's different in Excel

The column structure is the same, but there are a few differences worth knowing when you open the file in Excel:

• Checking statements include both deposits (positive) and withdrawals (negative). If you're building a cash-flow model, you'll want to filter or separate these into income and expense rows.
• Credit card statements include purchases, payments, and credits. Payments back to the card show as negative amounts. It helps to filter those out before running spending totals, or Excel will undercount your spending.
• Rewards activity sometimes appears as line items in card statements (cashback credits, annual fee adjustments). Tag these as "Rewards" so they don't distort your category totals.

For related walkthroughs, see our guides on converting a Chase statement PDF to CSV and converting any bank statement PDF to CSV.