AssemblyAI

Access powerful AI models to transcribe and understand speech via a simple API.

Integrate the AssemblyAI API with the MongoDB API

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

Create Captions with AssemblyAI API on New Collection from MongoDB API
MongoDB + AssemblyAI
 
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Create Captions with AssemblyAI API on New Database from MongoDB API
MongoDB + AssemblyAI
 
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Create Captions with AssemblyAI API on New Document from MongoDB API
MongoDB + AssemblyAI
 
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Create Captions with AssemblyAI API on New Field in Document from MongoDB API
MongoDB + AssemblyAI
 
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Create New Document with MongoDB API on New Transcription Completed from AssemblyAI API
AssemblyAI + MongoDB
 
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New Transcription Completed from the AssemblyAI API

Emit new event when a transcribed audio file from AssemblyAI is ready. See the documentation

 
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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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Create Captions with the AssemblyAI API

Export your completed transcripts in SRT (srt) or VTT (vtt) format, which can be used for subtitles and closed captions in videos. 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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Get Transcription with the AssemblyAI API

Fetches a specific transcribed result from the AssemblyAI API. 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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Find Document by Id with the MongoDB API

Retrieves a single document by ID. See the docs here

 
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Overview of AssemblyAI

The AssemblyAI API provides powerful speech recognition and natural language processing capabilities. It allows users to transcribe audio, analyze sentiment, detect topics, and more. In Pipedream, you can leverage these features to create automated workflows that process audio and text data. Connect AssemblyAI to various apps and services, trigger actions based on the API's output, and build robust, serverless data pipelines.

Connect AssemblyAI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    assemblyai: {
      type: "app",
      app: "assemblyai",
    }
  },
  async run({steps, $}) {
    const data = {
      "audio_url": `{{your_audio_url}}`,
      //for testing, try: https://storage.googleapis.com/aai-web-samples/espn-bears.m4a
    }
    return await axios($, {
      method: "POST",
      url: `https://api.assemblyai.com/v2/transcript`,
      headers: {
        "authorization": `${this.assemblyai.$auth.api_key}`,
      },
      data,
    })
  },
})

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

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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()
  },
})