CastingWords

High quality, easy to use, reliable audio transcription services. Whether you have a couple of 30-second audio clips, hundreds of focus group recordings, or need a transcription API integration, CastingWords has a transcription service that meets your needs.

Integrate the CastingWords API with the Python API

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

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 CastingWords

The CastingWords API provides programmatic access to a professional transcription service, allowing you to upload audio or video files for transcription, check the status of jobs, and retrieve completed transcripts. This interface streamlines the process of converting spoken content into written text, which can be a boon for content creators, journalists, researchers, and anyone who needs to transform audiovisual media into a textual format. With Pipedream, you can automate interactions with the CastingWords API, integrating transcription tasks seamlessly into your workflows.

Connect CastingWords

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    castingwords: {
      type: "app",
      app: "castingwords",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://castingwords.com/store/API4/prepay_balance`,
      params: {
        api_key: `${this.castingwords.$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}}