# From 430 MB to 13 MB: Building an Offline AI Model for Indian GST Invoices

> Source: <https://dev.to/pybankers/from-430-mb-to-13-mb-building-an-offline-ai-model-for-indian-gst-invoices-7nl>
> Published: 2026-10-26 00:34:23+00:00

We built Tiny GST, a compact AI model designed to extract structured data from Indian GST invoices directly on-device.

The model:

The goal is simple: reduce cloud costs, protect sensitive invoice data, and make invoice processing work even in warehouses or rural areas with unreliable internet.

The project is currently an early developer release. The XML workflow has been tested against a mock Tally server; live TallyPrime import testing is still pending.

🔗 GitHub profile: [https://github.com/sanprat](https://github.com/sanprat)

🔗 Tiny GST repository: [https://github.com/sanprat/GstEngine](https://github.com/sanprat/GstEngine)

🔗 Full engineering article: [https://pybankers.com/blog/from-430mb-to-13mb-offline-ai-gst-invoice](https://pybankers.com/blog/from-430mb-to-13mb-offline-ai-gst-invoices)

🔗 PyBankers: [https://pybankers.com](https://pybankers.com)