How our AI models achieve 99.9% extraction accuracy

Accuracy is everything when it comes to financial data. A single wrong digit can throw off an entire month's reporting. Here is a look at how we ensure TallyScan remains the most reliable tool in the market.

Not Just Standard OCR

Traditional Optical Character Recognition (OCR) simply "reads" letters. TallyScan's AI goes a step further by understanding the context. It doesn't just see a number; it knows whether that number is a subtotal, a VAT amount, or an invoice ID based on its position and surrounding text.

The Multi-Layered Approach

We use a combination of Large Language Models (LLMs) and custom-trained vision transformers. This allows us to process:

• Handwritten notes on invoices.
• Complex multi-page tables.
• Faded or low-quality photo receipts.

Continuous Learning

Every time a user corrects a field in TallyScan, our models (anonymously) learn from that feedback. This creates a virtuous cycle where the system gets smarter every single day, adapting to new invoice formats as they emerge globally.