Optical Character Recognition (OCR): Which solution to choose ?
Blog post from Eden AI
Optical Character Recognition (OCR) is a significant branch of artificial intelligence and computer vision used to convert various digital and handwritten documents into machine-readable text. It has gained importance across industries such as banking, healthcare, and law enforcement for tasks like cheque verification, patient record scanning, and license plate recognition. Historically originating in the 1950s, OCR technology has evolved to support a wide range of formats and languages without being limited to specific fonts. The current landscape includes major providers like Google Cloud, Microsoft Azure, Amazon AWS, and OCR Space, each with unique strengths in text detection and recognition. A comparative study using Eden AI's platform has highlighted Google's superior performance in name recognition on cheques, while Amazon excels in recognizing monetary amounts. The study underscores the need for businesses to evaluate OCR solutions based on specific use cases, as various factors such as image quality and character type influence performance. Eden AI facilitates this by offering access to multiple OCR APIs through a single interface, enabling users to benchmark and select the most suitable provider for their needs. Pricing for these services is structured with tiered thresholds, and Eden AI provides a convenient way to manage costs and access diverse AI capabilities without vendor lock-in.
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