Scaling Invoice Extraction to 15,000 Documents Daily with Sub-400ms Latency
Apex Capital replaced an expensive 22-person manual document verification team with an asynchronous NovaOCR pipeline, slashing operating overhead by 74% and eliminating data entry errors.
The Operational Bottleneck
Apex Capital processes thousands of merchant invoices, receivables contracts, and tax documents daily for working capital loans. Their manual review team created a 48-hour lending decision bottleneck, suffered a 6.2% data entry error rate, and caused merchant drop-off to competitors.
The Architectural Solution
Novasoft Studio engineered a distributed FastAPI and Celery ingestion cluster backed by PyTorch visual layout segmentation. As soon as a merchant uploads a PDF or smartphone photo, parallel workers deskew the image, parse tabular line items, validate GSTIN/tax numbers, and serialize clean JSON directly into Apex Capital’s underwriting engine in 380 milliseconds.
Key Technical Implementations
- Multi-region FastAPI ASGI gateways handling concurrent client webhooks with sub-millisecond route serialization.
- Elastic Celery worker cluster running on AWS ECS, automatically scaling from 4 to 32 worker tasks based on queue depth.
- Custom PaddleOCR & PyTorch visual transformers trained on 40,000 anonymized Indian & European invoice variations.
- Automated AES-256 encrypted Redis result cache with automatic zero-retention memory purge following delivery.
“Novasoft Studio transformed our biggest operational bottleneck into our greatest competitive advantage. Our loan approval turnaround dropped from two business days to four minutes, and our loss ratio decreased because the data extraction is flawlessly accurate.”
Engagement Metadata
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