Data entry may be tedious and demanding, but there are ways to make sure you deliver.
I am looking to hire someone who has created an OCR scan & extraction process which will then be automated into a Power Automate workflow to initiate an accounts payable process. In conjunction with a Great Plains interface. I have included a process flow that I am looking to achieve.
I need someone to fix already existing code which is currently using easyocr, pyautogui, and tesseract for OCR labelling tool. This code currently takes a screenshot of the screen, and captures 3 boxes (windows). Then it will type twice and click three times. The indicator will then pop up in a red light green light indicator. This indicator captures the text on the screen and will change red to green based on that text change. The first box captures the text and displays it on the indicator, which should be done accurately. The second box captures a number text, both counting the changes on the indicator and displays the number captured. The third box does the same as the second box. All boxes when detecting any changes will play a sound. I need the indicator fixed. The code is alread...
these are my suggestions you can use one of these API for implementation Microsoft Computer Vision API, google vision API, AWS Image Recognition Services. OCR In a Laravel website a feature need to be added where when the user uploaded an image, the text from that image need to be extracted and should be filled in the suitable fields in the form before submit action. For example : In Aadhar card, the name from the Aadhar card need to be filled in full name field. Skills Required Laravel Image Processing Data Scraping API Google APIs
The issue I am facing is the conversion of the Google OCR coordinates for the OCRd text the image dimensions within the application that are the same to the device width and height size. The dimensions required for Google Vision OCR is maximum of 1280 by height:width ratio. This is referred to as a document size. The image captured on device is equal to device height and width. The coordinates of the text blocks that I want come as a response of OCR request from Google in the document dimensions described above. I need to convert the coordinates to the device height and width dimensions to map the texts block so that a user can tap the screen and I can check if there is a book in that screen location. While at the same time drawing an overlay rect to show the region covered by the co...
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