SnapSpend AI | AI Personal Finance Assistant
Year: 2025
Status: In Progress
Skills: consumer AI, OCR, system prompting, financial ux design, data visualization, Next.js, typescript
Why
SnapSpend.ai was born out of a frustration with the tedious and error-prone process of managing receipts and tracking expenses. I wanted to build a tool that completely removes manual data entry, gives people control over their spending records, and makes financial insights as simple as asking a question. The goal is to turn something that usually feels like a chore into a seamless, even empowering experience.
What
The app allows users to capture or upload any receipt or bill, automatically extract and structure all the relevant information using AI-powered OCR, and categorize spending instantly. Every receipt becomes searchable, analyzable, and exportable, while a built-in AI chat interface makes it easy to ask natural language questions like “How much did I spend on groceries this month?” and receive contextual answers. SnapSpend organizes your financial records into a clear, structured system with interactive analytics dashboards and exports that can be used for taxes, reimbursements, or personal budgeting.
Near Future
The current build is focused on the MVP, which already supports receipt capture, AI-based parsing, categorization, and analytics. Upcoming developments include email forwarding for automatic receipt ingestion, smarter anomaly detection, customizable categories, alerts for recurring bills or unusual spikes in spending, and integrations with accounting platforms like QuickBooks. The roadmap also explores advanced line-item analysis, vector search for semantic receipt lookup, and privacy-first local processing options, ensuring that SnapSpend continues to evolve into a powerful personal finance companion.