You know about the big ones. The streaming service, the phone plan, the gym. What you do not know about is the $6.99 that has been leaving your checking account every month since a trial you started in a hotel room two years ago, or the cloud storage plan that was $2.99 when you signed up and is $4.99 now, or the software seat you kept paying for after you stopped using the software.<\/p>\n
The money is not the interesting part. The interesting part is that this is all written down. Every one of those charges appears on a statement you already have access to, in order, with dates and amounts. The information is sitting in a file. It just is not arranged in a way that makes a pattern visible to a human scrolling a PDF.<\/p>\n
A monthly statement is organized by date, which is exactly the wrong axis for finding recurring charges. A subscription is a vertical fact \u2014 the same merchant, roughly the same amount, once every billing cycle \u2014 and a statement presents everything horizontally, one month at a time, mixed in with groceries and gas.<\/p>\n
So to spot a subscription by eye you have to hold twelve documents in your head at once and notice which merchant names appear in all of them. People are bad at this, and they are worst at it precisely where it matters: small amounts. A $79 charge gets noticed. A $4.49 charge does not, and $4.49 a month is $53.88 a year.<\/p>\n
Merchant naming makes it harder. The same subscription can post as three different descriptor strings depending on the processor, the currency, and whether the charge went through an app store. Two lines that look unrelated on the page are the same product.<\/p>\n
You do not need a standing connection to an account to do this analysis. You need history, and history is what an export gives you.<\/p>\n
Most banks let you download transactions as CSV, Excel or OFX, and nearly all of them will hand you a statement PDF. PennySlice reads all of those, plus email forwarding and a photo of a receipt. There is no template to choose and no column-mapping step \u2014 the AI reads the file and works out its structure, whether the date column is called Date, Posted, or Transaction Date, and whether debits are negative numbers or a separate column.<\/p>\n
That matters more than it sounds. The setup screen is where most people quit an expense tool. Dragging in a file you already downloaded is a shorter path than deciding which of your accounts to authorize.<\/p>\n