A manufacturing company receiving 500+ vendor invoices monthly in various formats (scanned PDFs, photos, email attachments) needed an automated solution to extract invoice data, match against purchase orders, validate GST details, and post entries into their Tally accounting system. We built an AI-powered OCR pipeline that handles it all.
500+
Invoices/Month
97%
Accuracy
85%
Auto-Processed
30 sec
Processing Time
Time Saved
140+ hours per month
Estimated ROI
Rs 3,50,000+ monthly savings
Tech Stack
7 Technologies
The accounts payable team manually processed 500+ invoices monthly -- each requiring data entry of 15+ fields from paper/scanned documents into Tally. The process was slow (15-20 minutes per invoice), error-prone (12% error rate), and created a 2-week processing backlog. Vendors were unhappy with delayed payments.
We built an AI-powered document processing pipeline using Google Vision OCR and custom-trained extraction models. The system accepts invoices in any format (PDF, image, email), extracts structured data, validates against PO records and GST rules, and auto-posts verified entries into Tally with zero manual intervention for 85% of invoices.
Invoices are received via email, scanner, or upload
OCR extracts text and AI identifies invoice fields
Data is validated against PO database and GST records
Matching invoices are auto-posted to Tally
Exceptions are routed to human review queue
Payment schedules are generated automatically
Monthly reconciliation reports are produced
The system supports PDF (digital and scanned), JPEG/PNG images, and email attachments. It can also process invoices from mobile phone photos with reasonable image quality.
Yes, our AI model is trained on thousands of Indian invoice formats and continuously improves. For completely new formats, the system routes to human review while learning the layout for future automation.