I Built a Custom OCR App in 60 Mins (Zero Coding Required) скачать в хорошем качестве

I Built a Custom OCR App in 60 Mins (Zero Coding Required)

Stop paying for expensive OCR software! In this video, you can learn how to build a fully custom Optical Character Recognition (OCR) application using the Google's ecosystem. Whether you’re tracking utility bills, invoices, or business receipts, you can automate your data entry into Google Sheets with 100% accuracy—even if you don't know how to code! We’ll be using Google Gemini to "vibe code" our automation script, making this project accessible to everyone. If you can use excel or sheets, then this is doable too! What you will learn: 1. How to set up a data schema in Google Sheets. 2. Building a mobile-friendly front end with Google App Sheet. 3. Enabling the Google Cloud Vision API (the engine behind the OCR). 4. Using Gemini AI to write custom Apps Script without prior coding knowledge. 5. Connecting your app to an automation bot to sync data in real-time. Thanks for watching! If you found this tutorial helpful, please like, share, and subscribe. REFERENCES AS MENTIONED IN THE VIDEO ------------------------------------------------------------------------ GEMINI PROMPT SAMPLE (COPY AND MODIFY AS NEEDED): "I want to build an automated OCR workflow using the Google ecosystem. Please provide the complete code for a standalone Google Apps Script to accomplish this. 1. Architecture: User Interface: An AppSheet app is used to capture an image of a utility bill. Trigger: The process must be triggered in real-time by an AppSheet Automation that directly calls the script function and passes the unique RowID. Database: A Google Sheet will store the extracted data. OCR Service: The script must use the Google Cloud Vision AI API. 2. Google Sheet Schema: The Google Sheet has a tab named Sheet1 with the following columns in this exact order: A: RowID B: CaptureTimestamp C: BillImage D: Status E: AccountNumber F: Usage_kWh G: Amount_RM H: BillingPeriod 3. Script Requirements: Please write a standalone Apps Script that does the following: Includes a CONFIGURATION section at the top for SPREADSHEET_ID, API_KEY, and SHEET_NAME. Contains a main function, startOcrProcess(rowId), that can be called by AppSheet. This function must open the specified Google Sheet using its ID. It must find the correct row in the sheet by searching Column A for the rowId provided by AppSheet. Upon finding the row, it must call a second function, processBill, to perform the OCR. The processBill function should use UrlFetchApp to call the Cloud Vision API. Using Regular Expressions, the script must parse the OCR text from a Malaysian TNB utility bill and extract the following specific fields: Account Number: (e.g., 210056936103) Usage (kWh): (The total usage, e.g., 2,169) Amount (RM): (The final payable amount, anchored to the keyword "Caj Semasa") Billing Period: (The date range, e.g., 11.09.2020 - 11.10.2020) The script should then populate the extracted data into the correct columns of the found row. Include robust error handling with a try...catch block that writes "Error" to the status column if the process fails. Please provide the entire script in a single, complete code block." SAMPLE APPS SCRIPT CODE: https://docs.google.com/document/d/ 1HRv3FdyApQCrBzHPVcXxxUglwkj6eDDZ1zt2Q9wlF-I/edit?usp=sharing 🔗 Additional resources: Google AppSheet: https://www.appsheet.com Google Apps Script: https://script.google.com Google Cloud Vision AI: https://cloud.google.com/vision For more solutions: https://www.agenticsolutions.net/ #GoogleAppSheet #OCR #GoogleCloud #CloudVisionAPI #GoogleSheets #Automation #NoCode #GeminiAI #AppsScript #ProductivityHack #DataEntryAutomation #vibecoding