Integrate the Azure Speech Service API with the Python API

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

Popular Azure Speech Service and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

Try it

Overview of Azure Speech Service#

The Azure Speech Service API offers a suite of speech-to-text, text-to-speech, and speech translation capabilities, allowing you to integrate advanced speech processing into your applications. With the API, you can transcribe audio into text, convert text into natural-sounding speech, and even translate spoken languages in real-time. Leveraging these features within Pipedream, you can automate workflows that respond to voice commands, generate audio content from textual data, or provide real-time translation services for global communication.

Connect Azure Speech Service#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    azure_speech_service: {
      type: "app",
      app: "azure_speech_service",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.azure_speech_service.$auth.endpoint}/speechtotext/v3.1/healthstatus`,
      headers: {
        "Ocp-Apim-Subscription-Key": `${this.azure_speech_service.$auth.api_key}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}