with Google Meet and AssemblyAI?
Emit new event when a transcribed audio file from AssemblyAI is ready. See the documentation
Creates a new event in Google Calendar with a Google Meet link. See the documentation
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
Fetches a specific transcribed result from the AssemblyAI API. See the documentation
The Google Meet API allows developers to automate aspects of the video conferencing service, like creating and managing meetings. With Pipedream, these capabilities can be leveraged to build custom workflows, integrating Google Meet with other services to streamline scheduling, notification, and management processes. For instance, you can automate the creation of meetings in response to calendar events, sync meeting details with a CRM, or initiate follow-up actions once a meeting concludes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_meet: {
type: "app",
app: "google_meet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_meet.$auth.oauth_access_token}`,
},
})
},
})
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.
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,
})
},
})