Connect Google Translate and Google Cloud Vision integrations
Connect Google Translate and Google Cloud Vision with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like Google Translate and Google Cloud Vision to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.
Detects potentially unsafe or undesirable content within an image.
Runs detection to extract handwriting from an image.
Detects and extracts information about entities within an image, across a broad group of categories.
Runs text detection / optical character recognition (OCR) to extract text from an image. If the image is a document, check the flag to optimize the detection for dense text and documents.
Computes and iterates an array of dominant colors wirthin an image.
Detects and extracts multiple faces within an image along with the associated key facial attributes such as emotional state or wearing headwear. One face in the image produces one record in the result array.
Detection identifies landmarks in an image. One landmark in the image produces one record in the result array.
Object localization identifies multiple objects in an image and provides info for each object in the image. One object in the image produces one record in the result array.
Runs text detection / optical character recognition (OCR) to extract text from a PDF/TIFF file. One page in the file produces one record in the result array.
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Build your Google Translate and Google Cloud Vision integrations.
Create custom Google Translate and Google Cloud Vision workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Computes and iterates an array of dominant colors wirthin an image.
Detects potentially unsafe or undesirable content within an image.
Detects and extracts multiple faces within an image along with the associated key facial attributes such as emotional state or wearing headwear. One face in the image produces one record in the result array.
Runs detection to extract handwriting from an image.
Detects and extracts information about entities within an image, across a broad group of categories.
Detection identifies landmarks in an image. One landmark in the image produces one record in the result array.
Object localization identifies multiple objects in an image and provides info for each object in the image. One object in the image produces one record in the result array.
Runs text detection / optical character recognition (OCR) to extract text from a PDF/TIFF file. One page in the file produces one record in the result array.
Runs text detection / optical character recognition (OCR) to extract text from an image. If the image is a document, check the flag to optimize the detection for dense text and documents.
Popular Google Translate and Google Cloud Vision workflows.
Looking to get more out of Google Translate and Google Cloud Vision? With Make you can visually integrate Google Translate and Google Cloud Vision into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Automatically translate text within new Google Drive images using Google Cloud Vision (OCR) and Google Translate
Every time a new image containing text is uploaded to your Google Drive folder, Make will detect the text with Google Cloud Vision (OCR), translate it into the language you want using Google Translate and save the translated text as a new file to a Google Drive folder of your choice.
TRY IT ->Automatically translate text within new Telegram images using Google Cloud Vision (OCR) and Google Translate
Every time a new image containing text is posted to your Telegram channel, Make will detect the text with Google Cloud Vision (OCR), translate it into the language you want using Google Translate and send the translated text as a new message to a selected Telegram channel.
TRY IT ->Detect text from Google Drive files and add structured data to Google Sheets using ChatGPT
Use this template to extract text from Google Drive files and convert it into structured data in Google Sheets using Google Cloud Vision and ChatGPT then update your sheet with the information.
TRY IT ->Monitor Google Drive folder for new files and extract text with Google Cloud Vision to add to Google Sheets
Use this template to monitor a Google Drive folder for new files, extract text using Google Cloud Vision, and add it to Google Sheets for streamlined data management.
TRY IT ->Analyze an image from WhatsApp with Google Cloud Vision
This template shows how to analyze an image from WhatsApp via OCR (optical character recognition).
TRY IT ->Automatically translate new Discord messages with Google Translate
Every time a new message is posted in Discord, Make will automatically translate it into the target language of your preference using Google Translate and post it back in Discord. A Google Cloud billing account is required to create the Google Translate connection.
TRY IT ->Automatically translate new JustCall messages with Google Translate and send it to Telegram chat.
Every time a new message is sent in JustCall, Make will automatically translate it into the language you want using Google Translate. The translated text will be then sent to a Telegram channel of your choice.
TRY IT ->Translate Google Documents with Google Translate
Every time you create a new Google Doc in a specified folder, Make will automatically send the text content to Google Translate and then creates a new document with the translated content. The new document is placed in another folder. The source languages can be detected automatically, the target language is specified in your Make scenario.
TRY IT ->Translate Google Sheet with Google Translate
With this scenario you can create a bilingual content in Google sheet. Have the original text in column A and Make will use Google Translate and add the translated to text to column B of the same Google Sheet file. Every time you add new rows, Make will pick them up (within scheduled intervals) and translate them. In this scenario, we use a Google sheet with a header in the first row with the 'source' in column A and a target language code in column B.
TRY IT ->
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