OCR algorithm suggestion

Hello everyone, I’m starting with OCR and need help choosing a fast and accurate algorithm. It should work across all platforms. Any recommendations would be greatly appreciated. Thanks!

@Bot_15
Great to hear that you’re diving into Optical Character Recognition (OCR)! If you’re looking for a fast and accurate algorithm that works across multiple platforms, here are some top choices:

:one: Tesseract OCR (Open-Source & Cross-Platform) as already suggested by @balaji.ambresh Link: Tesseract GitHub

apart from this you can also look at some other option and can decide by yourself.

:two: EasyOCR (Deep Learning-Based, Fast & Accurate) Link: EasyOCR GitHub

:three: Google Cloud Vision OCR (Cloud-Based, Highly Accurate) Link: Google Cloud Vision OCR

:four: PaddleOCR (Fast & Lightweight) Link: PaddleOCR GitHub

:five: Amazon Textract (Cloud-Based, Advanced Document OCR) Link: Amazon Textract

So from above you can get the open source as well cloud based service.
They are based on different-different algorithm such as LSTM, Adaptive Thresholding, CRNN etc. So you can go in details with them and select them as per your requirements.

Thanks
Dr. Prashant

Thank you all for your recommendations! @balaji.ambresh and @Prashant_Upadhyaya I appreciate the help. Since I plan to implement this in an RTOS environment, do you have any suggestions or considerations I should keep in mind?

Sorry but I’m unfamiliar with RTOS. That said, please provide details about your RTOS environment for someone with the domain knowledge to help you.

@Bot_15 Can you specify that in RTOS environment you want to go with the simulation environment or want to jump into the hardware MCU.

thank you @balaji.ambresh

@Prashant_Upadhyaya I need the solution for a hardware MCU-based RTOS environment.

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@Bot_15 If you want to develop a hardware-based MCU RTOS:

  1. Choose a suitable MCU that supports AI integration, such as Espressif ESP32-S3, NVIDIA Jetson boards, or Raspberry Pi 4/5 (other options are also available).
  2. Select an appropriate RTOS, such as **FreeRTOS, Zephyr RTOS, Xenomai, RT-PREEMPT etc., **, based on the MCU’s capabilities.
  3. Pick an AI model that the MCU can handle, such as Tesseract OCR, TensorFlow Lite, or TinyML OCR, to optimize performance.
    Hope I have provided the solution for your questions.