mail-expenses

To extract receipts and financial transactions from email, this Skill parses email bodies to locate amounts, merchants, and categories, then summarizes spending. It uses Bash workflows with sqlite3 and Python3 to locate emails and parse transaction data.

Yes, you can generate a spending report from email for a specific date range. The Skill accepts time ranges like last 24 hours, this month, last week, or a custom date range to summarize expenses by amount, merchant, and category.

Yes, sqlite3 and Python3 are required to parse email invoices and expenses. The Skill relies on Bash workflows utilizing these dependencies to locate emails, extract payment amounts, and categorize financial transactions.

The best way to categorize email spending by merchant and amount is using automated extraction. This Skill processes email inboxes to identify payments and invoices, then summarizes the data by amount, merchant, and category.

Yes, email expense extraction works for automated receipt parsing without manual entry. The Skill automatically locates financial transactions, extracts amounts, and categorizes spending directly from email bodies using regex data extraction.

Using regex for extracting payment data from email locates specific transaction patterns within email bodies faster than manual tracking. It automates the identification of amounts, merchants, and categories to summarize spending efficiently.