Easyocr Qualcomm Ai Hub Ready to use ocr with 80 supported languages and all popular writing scripts. Easyocr is a machine learning model that can recognize text in images. it supports 80 supported languages and all popular writing scripts. this is based on the implementation of easyocr found here. this repository contains pre exported model files optimized for qualcomm® devices.
Easyocr Qualcomm Ai Hub This repository contains scripts for optimized on device export suitable to run on qualcomm® devices. more details on model performance across various devices, can be found here. This repository contains pre exported model files optimized for qualcomm® devices. you can use the qualcomm® ai hub models library to export with custom configurations. Sign in to qualcomm® ai hub workbench with your qualcomm® id. once signed in navigate to account > settings > api token. with this api token, you can configure your client to run models on the cloud hosted devices. navigate to docs for more information. Configure qualcomm® ai hub to run this model on a cloud hosted device sign in to qualcomm® ai hub with your qualcomm® id. once signed in navigate to account > settings > api token. with this api token, you can configure your client to run models on the cloud hosted devices.
Easyocr Ai Tools Catalog Sign in to qualcomm® ai hub workbench with your qualcomm® id. once signed in navigate to account > settings > api token. with this api token, you can configure your client to run models on the cloud hosted devices. navigate to docs for more information. Configure qualcomm® ai hub to run this model on a cloud hosted device sign in to qualcomm® ai hub with your qualcomm® id. once signed in navigate to account > settings > api token. with this api token, you can configure your client to run models on the cloud hosted devices. Easyocr recognizer target device snapdragon x2 elite crd windows 11 snapdragon® x2 elite | sc8480xp creator ai hub [email protected] target model download model download model link input specs image: float32 [1, 64, 800, 1] completion time 4 5 2026, 11:27:53 am options versions qairt: v2.43.0.260127150333 193827 qnn backend api: 5.43.0. This is based on the implementation of easyocr found here. this repository contains scripts for optimized on device export suitable to run on qualcomm® devices. more details on model performance across various devices, can be found here. qualcomm ai hub models uses qualcomm ai hub workbench to compile, profile, and evaluate this model. Many end to end demos use ai hub workbench to run inference on a real cloud hosted device (with eval mode on device). all end to end demos can also run locally via pytorch (with eval mode fp). Many features of ai hub models (such as model compilation, on device profiling, etc.) require access to qualcomm® ai hub workbench: create a qualcomm® id, and use it to login to qualcomm® ai hub workbench.
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