Bank statements have a wealth of financial information that is needed in various tasks, from data analysis for financial reporting to mention a few. To carry out these tasks, you need data that is structured, accurate, and up-to-date. However, you may have to spend hours typing data, organizing it on your spreadsheet, or removing unneeded information. Doing this can create a bottleneck in your processes, where you can’t start the subsequent tasks until you’re done with data entry. And that can be very stressful.
So, if you are looking for a simple yet effective way to convert JP Morgan Chase statements to Excel, you are the perfect place. In this quick guide, you are going to learn how to convert JP Morgan Chase statements to Excel with Docparser, the document parser that extracts data from your documents to the format or cloud app you want.
Step 1: Create a Chase template
The first thing you want to do is sign up for a free Docparser account (no upfront commitment required). After that, you will land on the template library, where you can choose from a variety of parser templates for different document types and industries. Each template has pre-set parsing rules that tell Docparser’s algorithms where to look for data in a given document and how to extract it.
Using a template will make the setup process a breeze for you, but even if you start with a blank template, creating parsing rules from scratch is a simple process.
So in the case of JP Morgan Chase statements, select the category “Bank Statements” then scroll down and click on the button “Show All Results”. You will see all the bank statement templates available. Alternatively, you can just click on the Chase Bank Statement template which may appear in the slider at the top of your screen.
Step 2: Upload a Chase bank statement
You need a sample document to build your parser. So upload a Chase bank statement (ideally several) from your local drive or just drag and drop it. You can upload a digital document as well as a scanned document — Docparser can parse both formats without issues.
Once you are done uploading your Chase statement(s), click on “Continue”.
Step 3: Create your parsing rules
The Chase Bank Statement template comes with pre-set parsing rules for the following data fields:
- Account number
- Beginning balance
- Deposits and additions
- Electronic Withdrawals
- Ending balance
- Deposits table
- Electronic Withdrawals Table
- Master Table
Be sure to check the parsing results to make sure that all data was extracted accurately. If needed, you can edit any rule to get better results.
You can also add new ones. To create a new rule, go to the Rules section of your account and click on the button “Add Parsing Rule”. Then, select the type of parsing rule that matches the data field you want to extract.
In the rule editor, you just have to select the data field you want to extract. If it’s a table, you can add column separators and move them around to get an accurate table with rows and columns.
Once you’re done building your parsing rules, it’s time to convert the extracted data to the Excel format.
Step 4: Download to Excel
The last step simply consists of specifying where you want your parsed data to go;
If you want to download your data as an Excel file, go to the Download section and select the XLS format. Note that there are three other download formats: CSV, JSON, and XML.
Once you type a name for your Excel file, Docparser will generate a download link. Click on it and save your file. It doesn’t get easier than that!
Alternatively, you can also export your data to the cloud version of Excel if you use it, or other cloud-based applications, like Google Sheets or your accounting software. Here’s how to do it.
Export to Excel Online, Google Sheets, or a different cloud app
To export your data to a cloud app, go to the Integrations section and select the outbound integration you want. You can choose Excel on OneDrive, Google Sheets, or a third-party integration like Zapier. Third-party integrations connect your Docparser account to thousands of cloud apps, making it easy to move extracted data from Docparser to any cloud-based system that you use (e.g. QuickBooks).
After selecting your desired integration, follow the instructions provided. Basically, you log in to your cloud app and select the location where you want your bank data to be sent.
Whenever new bank statements arrive, the data fields are automatically extracted according to the parsing rules you set up and then exported to the cloud app via Zapier.
After setting up your output format, you’re done! Now your bank statement parser can extract data from any number of documents that get uploaded to it. You have effectively automated the process of data entry and gained several hours per week — all without having to code a parser or train an AI model with a large dataset.
Get started today
Instead of relying on manual data entry, which costs precious time and hurts data quality, you’ll find it a lot more efficient and reliable to use a document parser that extracts data without errors and moves it to a spreadsheet.
So as shown in this guide, using Docparser to convert JP Morgan Chase statements to Excel is quite simple. No need to use blocks of code or train an AI model. Plus, you can follow the same steps we explained above to convert bank statements from any other bank.
But there’s more: Docparser is designed to process any kind of document that you receive regularly. Chances are you can use Docparser to extract data from other business documents, like invoices and HR forms. So give it a try today and explore the automation possibilities! You will improve your productivity by leaps and bounds while eliminating human error which is inherent to manual data entry.
