Features
Use a multi-modal, multi-language LLM with structured output support for extracting expense data from images
Support multiple languages and currencies
Capture an expense down to item level (so users can search down to item level), and shop details (name and address)
You can record your expenses using web app or mobile (iPhone, iPad, Android Phone and Tablet)
Auto infer the category (e.g. dining, grocery, health care, car, insurance, Disney subscription, etc.) and type of expense (e.g. whether it's a one-off expense or a recurring subscription like Netflix, YouTube)
Use a multi-language model for expense data embedding, and store the data into a vector database for cross language semantic search
An AI agent that let users to chat with the expense data
MCP server that provides expense retrieval tools for users to analyse their expense data with any AI agent that supports MCP. Tested with Perplexity and Claude Desktop
