Google Cloud Vision

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

Integrate the Google Cloud Vision API with the PostgreSQL API

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

Detect Labels in Image with Google Cloud Vision API on New Column from PostgreSQL API
PostgreSQL + Google Cloud Vision
 
Try it
Detect Labels in Image with Google Cloud Vision API on New or Updated Row from PostgreSQL API
PostgreSQL + Google Cloud Vision
 
Try it
Detect Labels in Image with Google Cloud Vision API on New Row Custom Query from PostgreSQL API
PostgreSQL + Google Cloud Vision
 
Try it
Detect Labels in Image with Google Cloud Vision API on New Row from PostgreSQL API
PostgreSQL + Google Cloud Vision
 
Try it
Detect Labels in Image with Google Cloud Vision API on New Table from PostgreSQL API
PostgreSQL + Google Cloud Vision
 
Try it
New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
Try it
New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
Try it
New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
Try it
New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
Try it
New Table from the PostgreSQL API

Emit new event when a new table is added to the database. See the documentation

 
Try it
Detect Labels in Image with the Google Cloud Vision API

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

 
Try it
Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
Try it
Detect Logos in Image with the Google Cloud Vision API

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

 
Try it
Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
Try it
Detect Text in Image with the Google Cloud Vision API

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

 
Try it

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
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 PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})