Access powerful AI models to transcribe and understand speech via a simple API.
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
Convert an object to a JSON format string
Fetches a specific transcribed result from the AssemblyAI API. See the documentation
Add or subtract time from a given input
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,
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})