Google Cloud Vision

Image recognition through pre-trained REST & RPC API models.

Integrate the Google Cloud Vision API with the Python API

Setup the Google Cloud Vision API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Google Cloud Vision and Python remarkably fast. Free for developers.

Detect Labels in Image with the Google Cloud Vision API

Performs feature detection on a local or remote image file. See the documentation.

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Detect Logos in Image with the Google Cloud Vision API

Detects logos within a local or remote image file. See the documentation.

 
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Detect Text in Image with the Google Cloud Vision API

Detects text in a local image or remote image. See the documentation.

 
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Overview of Google Cloud Vision

The Google Cloud Vision API allows you to analyze images in the cloud, harnessing Google's machine learning technology. You can detect and classify multiple objects, face and landmark detection, handwriting recognition, and image attributes. Combining this with Pipedream's serverless platform catalyzes the creation of automated workflows to process images, trigger actions, and integrate with other services seamlessly.

Connect Google Cloud Vision

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_cloud_vision_api: {
      type: "app",
      app: "google_cloud_vision_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_cloud_vision_api.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}