Integrate the Speechace API with the MongoDB API

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

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Popular Ways to Connect Speechace with MongoDB#

Score Scripted Recording with Speechace API on New Collection from MongoDB API

MongoDB + Speechace

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Score Scripted Recording with Speechace API on New Database from MongoDB API

MongoDB + Speechace

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Score Scripted Recording with Speechace API on New Document from MongoDB API

MongoDB + Speechace

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Score Scripted Recording with Speechace API on New Field in Document from MongoDB API

MongoDB + Speechace

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Transcribe and Score Recording with Speechace API on New Collection from MongoDB API

MongoDB + Speechace

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Popular Speechace and MongoDB Triggers#

New Collection from the MongoDB API

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

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New Database from the MongoDB API

Emit new an event when a new database is added

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New Document from the MongoDB API

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

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New Field in Document from the MongoDB API

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

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Popular Speechace and MongoDB Actions#

Score Scripted Recording with the Speechace API

Scores a scripted recording based on fluency and pronunciation. See the documentation

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Create New Document with the MongoDB API

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

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Transcribe and Score Recording with the Speechace API

Transcribes and scores a provided speech recording. See the documentation

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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

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Overview of Speechace#

The Speechace API offers capabilities for detailed speech analysis, particularly useful for language learning applications. With this API, you can assess users' pronunciation and fluency in English by analyzing audio inputs. In Pipedream, you can leverage this API to craft workflows that trigger on various events, process audio data, and perform actions based on the analysis—such as storing results, providing feedback, or integrating with other services for enhanced functionality.

Connect Speechace#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    speechace: {
      type: "app",
      app: "speechace",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.speechace.co/api/validating/text/v9/json`,
      params: {
        key: `${this.speechace.$auth.product_key}`,
        dialect: `en-us`,
        text: `Welcome to the world of workflow automation.`,
      },
    })
  },
})

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#

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()
  },
})

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