with Rev.ai and Data Stores?
Returns the transcript for a completed transcription job. Transcript can be returned as either JSON or plaintext format.
Add or update a single record in your Pipedream Data Store
Starts an asynchronous job to transcribe speech-to-text for a media file. Add an optional callback URL to invoke when processing is complete.
Add or update multiple records to your Pipedream Data Store
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
Rev.ai offers speech recognition and transcription capabilities, making it possible to convert audio into text with high accuracy. This API provides developers access to advanced speech-to-text functions, allowing you to transcribe interviews, meetings, or any audio content quickly. Using Pipedream, these transcriptions can be integrated into workflows that trigger actions in other apps, enriching your data and automating repetitive tasks.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rev_ai: {
type: "app",
app: "rev_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rev.ai/speechtotext/v1/account`,
headers: {
Authorization: `Bearer ${this.rev_ai.$auth.access_token}`,
},
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})