Automate Text Extraction, Translation, and Entity Analysis from Google Drive Files
This workflow automates the process of extracting text from images and PDFs stored in Google Drive, translating the text, and extracting named entities and keywords. It streamlines data processing and analysis, saving time and effort.
This workflow begins by monitoring a specified folder in Google Drive for new files. Once a file is detected, it retrieves the file and performs OCR to extract text. The extracted text is then translated from Chinese to English. Following translation, the text undergoes keyword extraction and named entity recognition to identify key information and entities. Finally, the results are logged into a Google Sheets document for easy access and analysis.
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How to import this workflow into Make
- 1Purchase or download the workflow to get the Make blueprint JSON file.
- 2In Make, create a new scenario, click the three-dots menu, and choose "Import Blueprint".
- 3Reconnect each module to your own app connections when prompted.
- 4Run the scenario once to verify it, then set your schedule and turn it on.
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