AssemblyAI

Access powerful AI models to transcribe and understand speech via a simple API.

Integrate the AssemblyAI API with the Python API

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

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Run Python Code with Python API on New Transcription Completed from AssemblyAI API
AssemblyAI + Python
 
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New Transcription Completed from the AssemblyAI API

Emit new event when a transcribed audio file from AssemblyAI is ready. See the documentation

 
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Create Captions with the AssemblyAI API

Export your completed transcripts in SRT (srt) or VTT (vtt) format, which can be used for subtitles and closed captions in videos. 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 Transcription with the AssemblyAI API

Fetches a specific transcribed result from the AssemblyAI API. See the documentation

 
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Overview of AssemblyAI

The AssemblyAI API provides powerful speech recognition and natural language processing capabilities. It allows users to transcribe audio, analyze sentiment, detect topics, and more. In Pipedream, you can leverage these features to create automated workflows that process audio and text data. Connect AssemblyAI to various apps and services, trigger actions based on the API's output, and build robust, serverless data pipelines.

Connect AssemblyAI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    assemblyai: {
      type: "app",
      app: "assemblyai",
    }
  },
  async run({steps, $}) {
    const data = {
      "audio_url": `{{your_audio_url}}`,
      //for testing, try: https://storage.googleapis.com/aai-web-samples/espn-bears.m4a
    }
    return await axios($, {
      method: "POST",
      url: `https://api.assemblyai.com/v2/transcript`,
      headers: {
        "authorization": `${this.assemblyai.$auth.api_key}`,
      },
      data,
    })
  },
})

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo