Accurate Speech-to-Text APIs for all of your speech recognition needs
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
Returns the transcript for a completed transcription job. Transcript can be returned as either JSON or plaintext format.
Starts an asynchronous job to transcribe speech-to-text for a media file. Add an optional callback URL to invoke when processing is complete.
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}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});