Optical Character Recognition vs Intelligent Document Processing

Developers should learn OCR when building applications that require digitizing printed text, automating document processing, or extracting information from images for data analysis meets developers should learn idp when building automation systems for industries like finance, healthcare, legal, or logistics where high volumes of documents require processing, such as automating invoice processing in accounting or extracting patient data from medical records. Here's our take.

Optical Character Recognition

Nice Pick

Developers should learn OCR when building applications that require digitizing printed text, automating document processing, or extracting information from images for data analysis

Pros

• Common use cases include invoice processing, receipt scanning, license plate recognition, digitizing historical archives, and creating accessible content for visually impaired users by converting text to speech
• Related to: computer-vision, machine-learning

Cons

• Specific tradeoffs depend on your use case

Intelligent Document Processing

Developers should learn IDP when building automation systems for industries like finance, healthcare, legal, or logistics where high volumes of documents require processing, such as automating invoice processing in accounting or extracting patient data from medical records

Pros

• It's valuable for reducing operational costs, minimizing errors, and accelerating workflows by integrating with platforms like ERP or CRM systems
• Related to: optical-character-recognition, natural-language-processing

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Optical Character Recognition if: You want common use cases include invoice processing, receipt scanning, license plate recognition, digitizing historical archives, and creating accessible content for visually impaired users by converting text to speech and can live with specific tradeoffs depend on your use case.

Use Intelligent Document Processing if: You prioritize it's valuable for reducing operational costs, minimizing errors, and accelerating workflows by integrating with platforms like erp or crm systems over what Optical Character Recognition offers.

The Bottom Line

Optical Character Recognition wins

Developers should learn OCR when building applications that require digitizing printed text, automating document processing, or extracting information from images for data analysis