3Scribe
Automated Transcription. Human Accuracy.
Integrate the 3Scribe API with the Python API
Setup the 3Scribe API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate 3Scribe and Python remarkably fast. Free for developers.
Popular 3Scribe and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of 3Scribe#
The 3Scribe API provides a suite of transcription and natural language processing services, enabling the conversion of audio and video into text. It also offers tools for analyzing and understanding content within these transcriptions, such as sentiment analysis, entity recognition, and keyword extraction. When integrated with Pipedream, 3Scribe becomes a powerful component within a larger automated workflow, providing the ability to trigger actions based on transcribed content, analyze customer interactions, or archive searchable transcripts for compliance and training purposes.
Connect 3Scribe#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
threescribe: {
type: "app",
app: "threescribe",
}
},
async run({steps, $}) {
const data = {
"name": `testfromsubmitform`,
"requesturl": `true`,
}
return await axios($, {
method: "post",
url: `https://api.3scri.be/transcribe`,
headers: {
"APIKey": `${this.threescribe.$auth.api_key}`,
"Content-Type": `application/json`,
},
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#
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}}