Integrate the AssemblyAI API with the Snowflake API

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

Popular Ways to Connect AssemblyAI with Snowflake#

Create Captions with AssemblyAI API on New Row from Snowflake API

Snowflake + AssemblyAI

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Get Transcription with AssemblyAI API on New Row from Snowflake API

Snowflake + AssemblyAI

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Create Captions with AssemblyAI API on New Query Results from Snowflake API

Snowflake + AssemblyAI

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Get Transcription with AssemblyAI API on New Query Results from Snowflake API

Snowflake + AssemblyAI

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Create Captions with AssemblyAI API on Failed Task in Schema from Snowflake API

Snowflake + AssemblyAI

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Popular AssemblyAI and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

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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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Database from the Snowflake API

Emit new event when a database is created

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Popular AssemblyAI and Snowflake Actions#

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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Get Transcription with the AssemblyAI API

Fetches a specific transcribed result from the AssemblyAI API. See the documentation

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Insert Single Row with the Snowflake API

Insert a row into a table

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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#

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 Snowflake#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Connect Snowflake#

import { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})