--- library_name: pytorch license: other tags: - android pipeline_tag: image-to-text --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/easyocr/web-assets/model_demo.png) # EasyOCR: Optimized for Mobile Deployment ## 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 model is an implementation of EasyOCR found [here](https://github.com/JaidedAI/EasyOCR). This repository provides scripts to run EasyOCR on Qualcomm® devices. More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/easyocr). ### Model Details - **Model Type:** Model_use_case.image_to_text - **Model Stats:** - Model checkpoint: easyocr-small-stage1 - Input resolution: 384x384 - Number of parameters (EasyOCRDetector): 20.8M - Model size (EasyOCRDetector): 79.2 MB - Number of parameters (EasyOCRRecognizer): 3.84M - Model size (EasyOCRRecognizer): 14.7 MB | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model |---|---|---|---|---|---|---|---|---| | EasyOCRDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 275.464 ms | 16 - 45 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 270.706 ms | 1 - 11 MB | NPU | Use Export Script | | EasyOCRDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 71.067 ms | 16 - 76 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 75.3 ms | 6 - 44 MB | NPU | Use Export Script | | EasyOCRDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 40.653 ms | 12 - 143 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 38.186 ms | 6 - 8 MB | NPU | Use Export Script | | EasyOCRDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 71.919 ms | 16 - 46 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 68.88 ms | 2 - 16 MB | NPU | Use Export Script | | EasyOCRDetector | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 275.464 ms | 16 - 45 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 270.706 ms | 1 - 11 MB | NPU | Use Export Script | | EasyOCRDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 41.834 ms | 10 - 142 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 38.861 ms | 6 - 8 MB | NPU | Use Export Script | | EasyOCRDetector | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 78.541 ms | 16 - 46 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 74.988 ms | 0 - 18 MB | NPU | Use Export Script | | EasyOCRDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 40.537 ms | 11 - 143 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 38.48 ms | 6 - 8 MB | NPU | Use Export Script | | EasyOCRDetector | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 71.919 ms | 16 - 46 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 68.88 ms | 2 - 16 MB | NPU | Use Export Script | | EasyOCRDetector | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 41.171 ms | 12 - 146 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 38.256 ms | 2 - 17 MB | NPU | Use Export Script | | EasyOCRDetector | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 40.044 ms | 33 - 123 MB | NPU | [EasyOCR.onnx](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.onnx) | | EasyOCRDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 30.148 ms | 16 - 74 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 28.185 ms | 6 - 41 MB | NPU | Use Export Script | | EasyOCRDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 28.315 ms | 34 - 69 MB | NPU | [EasyOCR.onnx](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.onnx) | | EasyOCRDetector | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 24.527 ms | 15 - 49 MB | NPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRDetector | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 23.248 ms | 6 - 40 MB | NPU | Use Export Script | | EasyOCRDetector | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 23.523 ms | 38 - 71 MB | NPU | [EasyOCR.onnx](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.onnx) | | EasyOCRDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 38.631 ms | 6 - 6 MB | NPU | Use Export Script | | EasyOCRDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 40.317 ms | 72 - 72 MB | NPU | [EasyOCR.onnx](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.onnx) | | EasyOCRRecognizer | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 483.485 ms | 8 - 18 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 61.815 ms | 0 - 9 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 298.408 ms | 4 - 28 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 37.653 ms | 0 - 167 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 122.451 ms | 4 - 8 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 23.22 ms | 0 - 4 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 354.941 ms | 9 - 24 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 27.702 ms | 0 - 14 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 483.485 ms | 8 - 18 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 61.815 ms | 0 - 9 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 111.415 ms | 6 - 9 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 23.194 ms | 0 - 2 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 222.734 ms | 10 - 28 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 39.068 ms | 0 - 18 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 127.195 ms | 8 - 11 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 23.286 ms | 0 - 2 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 354.941 ms | 9 - 24 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 27.702 ms | 0 - 14 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 112.343 ms | 3 - 5 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 24.296 ms | 0 - 102 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 22.138 ms | 0 - 26 MB | NPU | [EasyOCR.onnx](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.onnx) | | EasyOCRRecognizer | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 94.787 ms | 9 - 29 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 17.766 ms | 0 - 432 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 15.721 ms | 1 - 19 MB | NPU | [EasyOCR.onnx](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.onnx) | | EasyOCRRecognizer | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 107.21 ms | 20 - 34 MB | CPU | [EasyOCR.tflite](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.tflite) | | EasyOCRRecognizer | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 18.672 ms | 0 - 432 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 16.837 ms | 0 - 18 MB | NPU | [EasyOCR.onnx](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.onnx) | | EasyOCRRecognizer | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 24.475 ms | 0 - 0 MB | NPU | Use Export Script | | EasyOCRRecognizer | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 17.322 ms | 0 - 0 MB | NPU | [EasyOCR.onnx](https://huggingface.co/qualcomm/EasyOCR/blob/main/EasyOCR.onnx) | ## Installation Install the package via pip: ```bash pip install "qai-hub-models[easyocr]" ``` ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) 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. ```bash qai-hub configure --api_token API_TOKEN ``` Navigate to [docs](https://app.aihub.qualcomm.com/docs/) for more information. ## Demo off target The package contains a simple end-to-end demo that downloads pre-trained weights and runs this model on a sample input. ```bash python -m qai_hub_models.models.easyocr.demo ``` The above demo runs a reference implementation of pre-processing, model inference, and post processing. **NOTE**: If you want running in a Jupyter Notebook or Google Colab like environment, please add the following to your cell (instead of the above). ``` %run -m qai_hub_models.models.easyocr.demo ``` ### Run model on a cloud-hosted device In addition to the demo, you can also run the model on a cloud-hosted Qualcomm® device. This script does the following: * Performance check on-device on a cloud-hosted device * Downloads compiled assets that can be deployed on-device for Android. * Accuracy check between PyTorch and on-device outputs. ```bash python -m qai_hub_models.models.easyocr.export ``` ``` Profiling Results ------------------------------------------------------------ EasyOCRDetector Device : cs_8275 (ANDROID 14) Runtime : TFLITE Estimated inference time (ms) : 275.5 Estimated peak memory usage (MB): [16, 45] Total # Ops : 42 Compute Unit(s) : npu (42 ops) gpu (0 ops) cpu (0 ops) ------------------------------------------------------------ EasyOCRRecognizer Device : cs_8275 (ANDROID 14) Runtime : TFLITE Estimated inference time (ms) : 483.5 Estimated peak memory usage (MB): [8, 18] Total # Ops : 136 Compute Unit(s) : npu (0 ops) gpu (0 ops) cpu (136 ops) ``` ## How does this work? This [export script](https://aihub.qualcomm.com/models/easyocr/qai_hub_models/models/EasyOCR/export.py) leverages [Qualcomm® AI Hub](https://aihub.qualcomm.com/) to optimize, validate, and deploy this model on-device. Lets go through each step below in detail: Step 1: **Compile model for on-device deployment** To compile a PyTorch model for on-device deployment, we first trace the model in memory using the `jit.trace` and then call the `submit_compile_job` API. ```python import torch import qai_hub as hub from qai_hub_models.models.easyocr import Model # Load the model torch_model = Model.from_pretrained() # Device device = hub.Device("Samsung Galaxy S24") # Trace model input_shape = torch_model.get_input_spec() sample_inputs = torch_model.sample_inputs() pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()]) # Compile model on a specific device compile_job = hub.submit_compile_job( model=pt_model, device=device, input_specs=torch_model.get_input_spec(), ) # Get target model to run on-device target_model = compile_job.get_target_model() ``` Step 2: **Performance profiling on cloud-hosted device** After compiling models from step 1. Models can be profiled model on-device using the `target_model`. Note that this scripts runs the model on a device automatically provisioned in the cloud. Once the job is submitted, you can navigate to a provided job URL to view a variety of on-device performance metrics. ```python profile_job = hub.submit_profile_job( model=target_model, device=device, ) ``` Step 3: **Verify on-device accuracy** To verify the accuracy of the model on-device, you can run on-device inference on sample input data on the same cloud hosted device. ```python input_data = torch_model.sample_inputs() inference_job = hub.submit_inference_job( model=target_model, device=device, inputs=input_data, ) on_device_output = inference_job.download_output_data() ``` With the output of the model, you can compute like PSNR, relative errors or spot check the output with expected output. **Note**: This on-device profiling and inference requires access to Qualcomm® AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup). ## Deploying compiled model to Android The models can be deployed using multiple runtimes: - TensorFlow Lite (`.tflite` export): [This tutorial](https://www.tensorflow.org/lite/android/quickstart) provides a guide to deploy the .tflite model in an Android application. - QNN (`.so` export ): This [sample app](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/sample_app.html) provides instructions on how to use the `.so` shared library in an Android application. ## View on Qualcomm® AI Hub Get more details on EasyOCR's performance across various devices [here](https://aihub.qualcomm.com/models/easyocr). Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/) ## License * The license for the original implementation of EasyOCR can be found [here](https://github.com/JaidedAI/EasyOCR/blob/master/LICENSE). * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf) ## References * [Source Model Implementation](https://github.com/JaidedAI/EasyOCR) ## Community * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI. * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).