Drop your bank CSV and instantly detect vampire subscriptions. 200+ global SaaS patterns matched locally β your finances never touch a server.
Drag & drop or click to browse β works with any standard CSV export
| Select | Date | Description | Amount |
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Most people are paying for 3β5 subscriptions they've forgotten about. The average household wastes $237/year on unused or forgotten recurring charges. CSV Auto Import scans your bank statement for these "vampire" charges using a 200+ pattern keyword database β all in your browser, with zero data exposure.
Log into your online banking portal and look for "Download Statement" or "Export to CSV." Most major banks support this. Chase, Revolut, Wise, MUFG, Shinsei β all work out of the box.
Drag and drop the CSV file onto the upload zone. PapaParse reads the file locally β no server, no network request, no data storage. Your banking data never leaves your device.
Matching rows are flagged as "Potential Subscriptions." Select which ones to keep, then bulk-export to Incinerator for a complete financial audit. You control what gets saved.
Apps like Mint, Plaid, and Yodlee require you to hand over your bank login credentials to a third-party aggregation service. That means a company you didn't choose is storing and analyzing your complete financial history. CSV Auto Import gives you the same insight with zero credential exposure.
The tool uses a curated list of 200+ global SaaS and streaming brand patterns: Netflix, Spotify, Adobe, AWS, OpenAI, Midjourney, Notion, Figma, and dozens more β plus generic "vampire" patterns like "Monthly Renewal," "Automatic Membership," and "Annual Subscription."
Yes. The file is parsed entirely in your browser's RAM using PapaParse. We never upload your data, and the file is cleared as soon as you refresh the page.
Any standard bank CSV export. We use smart column detection that works regardless of column order β Date, Amount, and Description can appear in any position.
We match against 200+ global patterns. For regional or niche services, you may need to review the "Potential Match" list manually. We recommend checking any line marked as a potential subscription.
It packages your selected subscriptions and redirects to Incinerator with the data pre-loaded via URL parameters, saving you from manual entry.