Integrate the IBM Cloud - Speech to Text API with the HTTP / Webhook API

Setup the IBM Cloud - Speech to Text API trigger to run a workflow which integrates with the HTTP / Webhook API. Pipedream's integration platform allows you to integrate IBM Cloud - Speech to Text and HTTP / Webhook remarkably fast. Free for developers.

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Popular IBM Cloud - Speech to Text and HTTP / Webhook Triggers#

New Requests from the HTTP / Webhook API

Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.

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New Requests (Payload Only) from the HTTP / Webhook API

Get a URL and emit the HTTP body as an event on every request

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New event when the content of the URL changes. from the HTTP / Webhook API

Emit new event when the content of the URL changes.

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Popular IBM Cloud - Speech to Text and HTTP / Webhook Actions#

Send any HTTP Request with the HTTP / Webhook API

Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.

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Send GET Request with the HTTP / Webhook API

Send an HTTP GET request to any URL. Optionally configure query string parameters, headers and basic auth.

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Send POST Request with the HTTP / Webhook API

Send an HTTP POST request to any URL. Optionally configure query string parameters, headers and basic auth.

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Send PUT Request with the HTTP / Webhook API

Send an HTTP PUT request to any URL. Optionally configure query string parameters, headers and basic auth.

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Return HTTP Response with the HTTP / Webhook API

Use with an HTTP trigger that uses "Return a custom response from your workflow" as its HTTP Response

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Overview of IBM Cloud - Speech to Text#

The IBM Cloud - Speech to Text API transforms spoken language into written text, offering a powerful tool for creating transcriptions, enabling voice control and command features, and feeding speech into analytics platforms. With Pipedream, you can build automated workflows that leverage this capability, such as transcribing meetings in real-time, analyzing customer service calls for sentiment and keywords, or even creating subtitles for videos. The ability to connect with other apps on Pipedream allows for complex workflows that can turn spoken data into actionable insights or accessible content.

Connect IBM Cloud - Speech to Text#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ibm_cloud_speech_to_text: {
      type: "app",
      app: "ibm_cloud_speech_to_text",
    }
  },
  async run({steps, $}) {
    const data = {
      "text": `hello world`,
    }
    return await axios($, {
      method: "post",
      url: `${this.ibm_cloud_speech_to_text.$auth.instance_url}/v1/synthesize`,
      headers: {
        "Content-Type": `application/json`,
        "Accept": `audio/wav`,
      },
      auth: {
        username: `apikey`,
        password: `${this.ibm_cloud_speech_to_text.$auth.api_key}`,
      },
      data,
    })
  },
})

Overview of HTTP / Webhook#

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

$A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.$

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

Connect HTTP / Webhook#

// To use any npm package on Pipedream, just import it
import axios from "axios"

export default defineComponent({
  async run({ steps, $ }) {
    const { data } = await axios({
      method: "GET",
      url: "https://pokeapi.co/api/v2/pokemon/charizard",
    })
    return data.species
  },
})

Community Posts#

A Look at Pipedream

I'm going to build a workflow that will search Twitter every hour for a keyword. It will take the results, format them nicely, and then email it.

Building a Traffic-Based Workflow in Pipedream

Normally I don't like to blog about stuff that isn't generally available to all, but as it will be available sometime soon, I decided to go ahead anyway. And I built something really cool I want to share so that's another reason to talk about this now!

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