BFSIGovernment· Workflow automation

OCR pipeline for Indian government documents

98%

accuracy

35%

faster

10+

doc types

System Architecture

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FastAPI Router
Redis Queue
Celery Workers w/ PaddleOCR
Generated Structured JSON via LLM-agnostic architecture
Database

Engineering Deep Dive

GPU Acceleration

Utilized AWS EC2 g4dn.4xlarge instances to parallelize PaddleOCR inference, cutting processing time by 35%.

Async Queuing

Implemented Redis + Celery to prevent API timeouts during high-traffic surges, ensuring zero dropped documents.

Multi-Language Nuance

Tuned the OCR models specifically for the unique fonts and regional languages present in varied state-issued Aadhaar, Voter ID, PAN, Indian Passport, NRI Passport, OCI card, Telephone Bill, Driving License, Bank statements and Cheque.

Business Impact

Replaced a bottleneck of 15 manual data-entry clerks, eliminating human error and allowing the financial institution to clear compliance backlogs in hours instead of weeks.

Technologies Used

PaddleOCR
FastAPI
Celery
Redis
AWS EC2 g4dn
Prometheus

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