Dwata

Connect your email inbox, download emails, and use LLM agents to extract financial transaction data — all running locally on your machine.

All data stays on your machine. dwata works with Ollama and local models (tested on Mac Mini M4 16GB), so your emails never leave your computer.

[!WARNING] dwata is very early software and is being developed actively, I am sorry if the extracted data has bugs.

What dwata does today

Email inbox

Connect your Gmail or IMAP account. dwata downloads your emails and stores them locally in SQLite.

Financial template detection

Select financial emails and run an LLM agent to generate extraction templates. The agent reads sample emails and produces reusable patterns — you only need AI once per email sender.

Financial templates

Browse and manage the generated templates. Each template captures how to extract financial data from a specific sender.

Extracted transactions

Once templates are in place, dwata extracts financial transactions from matching emails automatically.

[!WARNING] There are quite a few issues with the extraction logic. I am working on it actively.

LLM settings