Integrate the AiVOOV API with the Python API

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

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Popular AiVOOV and Python Actions#

Convert Text to Speech with the AiVOOV API

Converts text to audio using the Aivoov API. See the documentation

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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.

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Overview of AiVOOV#

AiVOOV API offers speech recognition capabilities that enable you to convert audio into text, supporting various languages. This can be particularly useful for transcription services, content generation, and multilingual support systems. On Pipedream, you can leverage this API to create powerful serverless workflows that trigger upon receiving audio data, automatically transcribing it and connecting the output to countless other services for processing, analysis, or storage.

Connect AiVOOV#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aivoov: {
      type: "app",
      app: "aivoov",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://aivoov.com/api/v1/voices?provider=aws`,
      headers: {
        "X-API-KEY": `${this.aivoov.$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}}

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