レシート分析GPTs-Receipt Data Extraction

Example

Extracting store name, purchase date, and item list with prices from a blurry receipt image.

Scenario

A user uploads a receipt from a grocery store. レシート分析GPTs processes the image, identifies and extracts data such as the store's location, the date of purchase, and detailed list of items purchased including their prices, even if the receipt's quality is poor or some details are partially obscured.

Example

Analyzing recurring purchases and identifying spending patterns over time.

Scenario

Based on multiple receipts uploaded over a month, レシート分析GPTs can identify that a user frequently buys certain brands of coffee and snacks, highlighting spending patterns and potentially suggesting similar products or advising on budget adjustments.

Example

Suggesting recipes based on recently purchased ingredients.

Scenario

After a user uploads receipts from several visits to the supermarket, レシート分析GPTs compiles a list of frequently bought items and uses this to recommend recipes or other food items the user might enjoy, thus adding value by enhancing the user's meal planning and shopping experiences.