Automatic Speech Recognition vs Optical Character Recognition

Developers should learn ASR to build voice-enabled applications, such as virtual assistants (e meets developers should learn ocr when building applications that require digitizing printed text, automating document processing, or extracting information from images for data analysis. Here's our take.

Automatic Speech Recognition

Nice Pick

Developers should learn ASR to build voice-enabled applications, such as virtual assistants (e

Pros

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• Related to: natural-language-processing, machine-learning

Cons

• Specific tradeoffs depend on your use case

Optical Character Recognition

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

The Verdict

These tools serve different purposes. Automatic Speech Recognition is a concept while Optical Character Recognition is a tool. We picked Automatic Speech Recognition based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Automatic Speech Recognition wins

Based on overall popularity. Automatic Speech Recognition is more widely used, but Optical Character Recognition excels in its own space.