A developer running a document processing pipeline for a client processing 40,000 scanned receipts per month replaced expensive proprietary OCR APIs with open source OCR models accessed via a unified API endpoint. This switch reduced costs by 65% in the first month while maintaining comparable OCR accuracy (~85% on key receipt fields). The integration was quick (under 10 minutes) using an OpenAI-compatible SDK, enabling reuse of existing tooling. Additional optimizations like caching duplicates, streaming responses, selecting cheaper models for simpler tasks, quality monitoring, and fallback chains further improved cost efficiency and reliability.

Jun 14, 2026, 12:00 PM