Integrate the Rev.ai API with the Snowflake API

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

Popular Ways to Connect Rev.ai with Snowflake#

Get Transcript By Id with Rev.ai API on New Row from Snowflake API

Snowflake + Rev.ai

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Submit Transcription Job with Rev.ai API on New Row from Snowflake API

Snowflake + Rev.ai

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Get Transcript By Id with Rev.ai API on Query Results from Snowflake API

Snowflake + Rev.ai

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Submit Transcription Job with Rev.ai API on Query Results from Snowflake API

Snowflake + Rev.ai

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Get Transcript By Id with Rev.ai API on Failed Task in Schema from Snowflake API

Snowflake + Rev.ai

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Popular Rev.ai 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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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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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

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Popular Rev.ai and Snowflake Actions#

Get Transcript By Id with the Rev.ai API

Returns the transcript for a completed transcription job. Transcript can be returned as either JSON or plaintext format.

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Submit Transcription Job with the Rev.ai API

Starts an asynchronous job to transcribe speech-to-text for a media file. Add an optional callback URL to invoke when processing is complete.

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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 Rev.ai#

Rev.ai offers speech recognition and transcription capabilities, making it possible to convert audio into text with high accuracy. This API provides developers access to advanced speech-to-text functions, allowing you to transcribe interviews, meetings, or any audio content quickly. Using Pipedream, these transcriptions can be integrated into workflows that trigger actions in other apps, enriching your data and automating repetitive tasks.

Connect Rev.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rev_ai: {
      type: "app",
      app: "rev_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rev.ai/speechtotext/v1/account`,
      headers: {
        Authorization: `Bearer ${this.rev_ai.$auth.access_token}`,
      },
    })
  },
})

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
  },
})