Maestra

Automatic, fast, accurate transcription and captioning for journalists, students, podcasters. Audio to text in minutes.

Integrate the Maestra API with the Python API

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

Run Python Code with Python API on New File Added from Maestra API
Maestra + Python
 
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New File Added from the Maestra API

Emit new event when a new file is added to a project in Maestra. 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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Translate File with the Maestra API

Translates an existing file in the Maestra system. See the documentation

 
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Upload File with the Maestra API

Initiates a new file upload to Maestra. See the documentation

 
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Overview of Maestra

The Maestra API lets you automate the transcription, captioning, and voiceover of videos and audios, crucial for creating accessible and localized content. With Pipedream, you can build workflows that trigger on various events to streamline media processing, integrate with other services, and manage content efficiently. Pipedream's serverless platform offers a code-free way to connect the Maestra API with hundreds of other apps, enabling you to create custom automation without the heavy lifting.

Connect Maestra

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    maestra: {
      type: "app",
      app: "maestra",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.maestra.$auth.base_url}/api/getCredits`,
      headers: {
        "apiKey": `${this.maestra.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}