Temi is an audio transcription service that uses computers to transcribe English audio or video into text. We also offer rich editing tools that you can use to annotate and edit your transcripts.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Temi API offers automated transcription services, converting audio and video files into text. With Pipedream's robust platform, you can exploit Temi's capabilities to activate a myriad of automated workflows, from transcribing meeting recordings for easy reference to triggering tasks based on the presence of keywords in transcribed text. The real power lies in connecting these transcriptions to other services for further analysis, archiving, or even real-time alerting.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
temi: {
type: "app",
app: "temi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.temi.com/v1/account`,
headers: {
Authorization: `Bearer ${this.temi.$auth.api_key}`,
},
})
},
})
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:
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}}