Transcribe, translate, and analyze with AI
Emit new event when a new media file is created. Useful for initiating workflows based on new media intake. See the documentation
Emit new event when a new text is analyzed. Useful for initiating workflows based on new text analysis. See the documentation
Analyzes a block of text for key insights, sentiment, and keyword extraction using Speak Ai's NLP engine. 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.
Retrieve the full transcription of a processed media file. See the documentation
Upload an audio or video file for transcription and natural language processing into Speak AI. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
speak_ai: {
type: "app",
app: "speak_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.speakai.co/v1/admin/users`,
headers: {
"x-speakai-key": `${this.speak_ai.$auth.api_key}`,
"x-access-token": `${this.speak_ai.$auth.oauth_access_token}`,
},
})
},
})
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
},
})