Freelancers and small business owners waste 20–30 minutes per month manually typing invoice data into spreadsheets or accounting software. Over a year that adds up to half a day of lost time — every year.
Cloud-based alternatives like Dext or AutoEntry cost $30–200/month and store sensitive financial data on third-party servers. For privacy-conscious professionals and those in regulated industries, that's a non-starter.
20–30 min/month
Wasted on manual invoice data entry per freelancer
$30–200/month
Cost of cloud OCR tools that also store your private data
Data privacy
Financial documents contain sensitive info — cloud storage is a risk
The entire AI processing chain runs locally. Your data never leaves your computer.
Shipping a 418 MB GGUF model file inside an Electron installer required careful electron-builder configuration using extraResources. Path resolution between dev and production builds is handled via process.resourcesPath, avoiding the common trap of hardcoded paths.
llama.cpp runs as a child_process.spawn with a readline interface reading stdout. Each token is forwarded to the Angular renderer via ipcMain events, producing a real-time streaming chat experience without any WebSocket infrastructure.
LLMs are probabilistic — sometimes they ignore the format. The system prompt defines a strict JSON schema and the parsing layer uses regex extraction with a three-attempt retry loop. If all retries fail, the user sees a friendly degradation message rather than a crash.
Desktop apps, local AI integration, offline-first architecture — let's talk about what you're building.
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