Intelligent, high accuracy speech recognition built for business
Retrieves details about the specified balance. See the documentation
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Retrieves basic information about the specified project. See the documentation
Retrieves the details of the specified request sent to the Deepgram API for the specified project. See the documentation
Generates a list of outstanding balances for the specified project. See the documentation
The Deepgram API offers powerful speech recognition capabilities, enabling you to transcribe, search, and analyze audio data with ease. With its cutting-edge machine learning models, you can uncover insights from voice conversations, automate content moderation, and enhance user experience by converting spoken words into text. Pipedream, as a serverless integration platform, empowers you to craft custom workflows that harness the potential of Deepgram. By connecting to various apps, you can automate complex tasks, analyze audio data on-the-fly, and respond to audio-driven events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
deepgram: {
type: "app",
app: "deepgram",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.deepgram.com/v1/projects`,
headers: {
"Authorization": `Token ${this.deepgram.$auth.api_key}`,
},
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})