Comparing Apple's and Google's on-device OCR technologies

Did Apple do a better job with on-device text recognition than Google's MLVision?

TL;DR…Apple's Text Recognition is Crushing it

Install the Pods

• Clone the repository:

git clone https://github.com/omarmhaimdat/Apple_VS_Google.git

• Get in the directory:

cd Apple_VS_Google

• Install pods:

pod install

There is only two major dependencies which are:

pod 'Firebase/MLVision'
pod 'Firebase/MLVisionTextModel'

About me

Omar MHAIMDAT:

Linkedin: Linkedin profile

Email: omarmhaimdat@gmail.com

Distributed under the MIT license. See LICENSE for more information.

Other projects

Face detection and recognition with CoreML and ARKit

• Github Repo

• Medium article with full tutorial

Creating a License Plate Reading iOS Application Using OCR Technologies and CoreData

• Github Repo

• Medium article with full tutorial

Using Core ML and Natural Language for Sentiment Analysis on iOS

• Github Repo

• Medium article with full tutorial

Building a Sound Classification iOS Application using AI

• Github Repo

• Medium article with full tutorial