Connect Google Cloud Vision and Google Cloud Firestore integrations
Connect Google Cloud Vision and Google Cloud Firestore with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like Google Cloud Vision and Google Cloud Firestore 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.
Backups documents from Firestore to Google Cloud Storage.
Creates a new document.
Deletes a single document.
Gets a single document.
Performs an arbitrary authorized API call.
Restores documents from Google Cloud Storage into Firestore. Existing documents with the same name are overwritten.
Updates or inserts a document.
Gets multiple documents across different collections.
Lists all the collection IDs underneath a document.
Lists documents of a collection.
Runs a query.
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Build your Google Cloud Vision and Google Cloud Firestore integrations.
Create custom Google Cloud Vision and Google Cloud Firestore workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Backups documents from Firestore to Google Cloud Storage.
Computes and iterates an array of dominant colors wirthin an image.
Creates a new document.
Deletes a single document.
Detects potentially unsafe or undesirable content within an image.
Gets multiple documents across different collections.
Gets a single document.
Lists all the collection IDs underneath a document.
Lists documents of a collection.
Popular Google Cloud Vision and Google Cloud Firestore workflows.
Looking to get more out of Google Cloud Vision and Google Cloud Firestore? With Make you can visually integrate Google Cloud Vision and Google Cloud Firestore into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Insert data into PostgreSQL and create documents in Google Cloud Firestore from Browse AI tasks
Use this automation to insert data into PostgreSQL and create Google Cloud Firestore documents from Browse AI tasks, streamlining data management across platforms.
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 ->Extract and store new articles from RSS feeds to Google Cloud Firestore
Automatically extract new articles from RSS feeds, convert HTML to text, and store them in Google Cloud Firestore for easy access and management.
TRY IT ->Create a Firestore document from a custom webhook trigger
Trigger a custom webhook to automatically create a new document in Google Cloud Firestore, streamlining data integration and storage for your applications.
TRY IT ->Create a new Firestore document for every new article from RSS feed
Automatically create a new Firestore document for each new article from your RSS feed using Make's integration with Google Cloud Firestore.
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 ->Import a JSON array to Firestore
This template shows how to import a JSON array of objects into a Firestore collection. The scenario can be setup to run periodically (every hour, day, week, or month).
TRY IT ->Analyze new GCS objects with Google Natural Language and save the results in Firestore
Every time an object is created in a specified Google Cloud Storage bucket, Make will automatically analyze its content (sentiment analysis). Then, the results are saved in your Firestore database.
TRY IT ->
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