How To Understand OCR Quality To Optimize Performance – Towards AI

Summary:
The article discusses the importance of OCR (Optical Character Recognition) in understanding documents by extracting text from images. It highlights the need for tools to measure OCR quality and how feedback can be used to optimize OCR systems. The author’s motivation stems from working on a project involving text extraction from receipts and the dependency of the Llama2 model on OCR quality. The article also touches upon techniques to optimize OCR and testing the pre-processing stage for an OCR engine. The full blog can be read on Medium.

source update: How To Understand OCR Quality To Optimize Performance – Towards AI

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