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# OmniReader - Multi-model text extraction comparison
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OmniReader is a document processing workflow that ingests unstructured documents (PDFs, images, scans) and extracts text using multiple OCR models - specifically Gemma 3 and Mistral AI Pixtral12B. The platform provides side-by-side comparison of extraction results, highlighting differences in accuracy, formatting, and content recognition. This dual-model approach allows users to evaluate OCR performance across different document types, languages, and formatting complexity. OmniReader delivers reproducible, automated, and cloud-agnostic analysis, with comprehensive metrics on extraction quality, processing time, and confidence scores for each model.
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OmniReader is a document processing workflow that ingests unstructured documents (PDFs, images, scans) and extracts text using multiple OCR models - specifically Gemma 3 and Mistral AI Pixtral12B. It provides side-by-side comparison of extraction results, highlighting differences in accuracy, formatting, and content recognition. This dual-model approach allows users to evaluate OCR performance across different document types, languages, and formatting complexity. OmniReader delivers reproducible, automated, and cloud-agnostic analysis, with comprehensive metrics on extraction quality, processing time, and confidence scores for each model.
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## 🚀 Getting Started
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