Automatic, fast, accurate transcription and captioning for journalists, students, podcasters. Audio to text in minutes.
Emit new event when a new file is added to a project in Maestra. See the documentation
Continue workflow execution only if a condition is met
Translates an existing file in the Maestra system. See the documentation
The Maestra API lets you automate the transcription, captioning, and voiceover of videos and audios, crucial for creating accessible and localized content. With Pipedream, you can build workflows that trigger on various events to streamline media processing, integrate with other services, and manage content efficiently. Pipedream's serverless platform offers a code-free way to connect the Maestra API with hundreds of other apps, enabling you to create custom automation without the heavy lifting.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
maestra: {
type: "app",
app: "maestra",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.maestra.$auth.base_url}/api/getCredits`,
headers: {
"apiKey": `${this.maestra.$auth.api_key}`,
},
})
},
})
The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.
export default defineComponent({
async run({ steps, $ }) {
let condition = false
if (condition == false) {
$.flow.exit("Ending workflow early because the condition is false")
} else {
$.export("$summary", "Continuing workflow, since condition for ending was not met.")
}
},
})