Google Cloud Vision

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

Integrate the Google Cloud Vision API with the MongoDB API

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

Detect Labels in Image with Google Cloud Vision API on New Collection from MongoDB API
MongoDB + Google Cloud Vision
 
Try it
Detect Labels in Image with Google Cloud Vision API on New Database from MongoDB API
MongoDB + Google Cloud Vision
 
Try it
Detect Labels in Image with Google Cloud Vision API on New Document from MongoDB API
MongoDB + Google Cloud Vision
 
Try it
Detect Labels in Image with Google Cloud Vision API on New Field in Document from MongoDB API
MongoDB + Google Cloud Vision
 
Try it
Detect Logos in Image with Google Cloud Vision API on New Collection from MongoDB API
MongoDB + Google Cloud Vision
 
Try it
New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
Try it
New Database from the MongoDB API

Emit new an event when a new database is added

 
Try it
New Document from the MongoDB API

Emit new an event when a new document is added to a collection

 
Try it
New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

 
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
Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

 
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
Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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 MongoDB

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})