with Kartra and AssemblyAI?
Emit new event when a transcribed audio file from AssemblyAI is ready. 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 Kartra API allows you to interact programmatically with Kartra's marketing automation platform. Through Pipedream, you can leverage this API to create, update, retrieve, and delete various marketing and sales assets managed by Kartra, such as leads, emails, memberships, and more. By integrating Kartra with other apps on Pipedream, you can automate complex workflows, sync data across multiple platforms, and trigger actions based on events within Kartra or external services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kartra: {
type: "app",
app: "kartra",
}
},
async run({steps, $}) {
const data = {
"app_id": `${this.kartra.$auth.app_id}`,
"api_key": `${this.kartra.$auth.api_key}`,
"api_password": `${this.kartra.$auth.api_password}`,
"lead": {
"email": "enter_an_email_here"
},
"actions": [
{
"cmd": "search_lead"
}
],
}
return await axios($, {
method: "post",
url: `https://app.kartra.com/api`,
headers: {
"Content-Type": `application/x-www-form-urlencoded`,
},
data,
})
},
})
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,
})
},
})