A scalable multi-model OCR workflow framework for batch document processing and model evaluation.
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Pipeline for efficient processing of large document volumes, extracting text using selected models.
Pipeline for comparing model outputs against ground truth data using quantitative metrics.
OmniReader is a flexible, scalable multi-model OCR workflow that orchestrates document processing pipelines, integrates various vision-language models, and tracks performance metrics to ensure reliable text extraction at scale.
This framework provides a production-ready solution for batch OCR processing, enabling enterprises to process large volumes of unstructured documents efficiently and reliably. It supports multiple vision-language models, automatic performance evaluation, and detailed metrics tracking for model comparison.
