Sonix

Automated transcription, translation, and subtitling. Over 40 languages supported. Fast, accurate, and affordable.

Integrate the Sonix API with the Python API

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

Run Python Code with Python API on New Media Upload Complete from Sonix API
Sonix + Python
 
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New Media Upload Complete from the Sonix API

Emit new event any time the media status of an item changes to completed.

 
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Create New Translation with the Sonix API

Creates a new translation for a selected media file. 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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Get Text Transcript with the Sonix API

Gets the text transcript of a selected media file. See the documentation

 
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Upload Media with the Sonix API

Submits new media for processing. See the documentation

 
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Overview of Sonix

The Sonix API enables automated transcription of audio and video files into text, offering functions like uploading media, managing files, and retrieving transcripts. Leveraging Pipedream’s capabilities, you can integrate the Sonix API with various services to streamline media processing workflows, making transcription tasks more efficient. By automating interactions with Sonix, you can trigger actions based on the transcription status, analyze content, and connect transcribed text with other apps for further processing or analysis.

Connect Sonix

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

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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}}