Speech to Text
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Finds a row in a table via a custom query. See the documentation
The IBM Cloud - Speech to Text API transforms spoken language into written text, offering a powerful tool for creating transcriptions, enabling voice control and command features, and feeding speech into analytics platforms. With Pipedream, you can build automated workflows that leverage this capability, such as transcribing meetings in real-time, analyzing customer service calls for sentiment and keywords, or even creating subtitles for videos. The ability to connect with other apps on Pipedream allows for complex workflows that can turn spoken data into actionable insights or accessible content.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ibm_cloud_speech_to_text: {
type: "app",
app: "ibm_cloud_speech_to_text",
}
},
async run({steps, $}) {
const data = {
"text": `hello world`,
}
return await axios($, {
method: "post",
url: `${this.ibm_cloud_speech_to_text.$auth.instance_url}/v1/synthesize`,
headers: {
"Content-Type": `application/json`,
"Accept": `audio/wav`,
},
auth: {
username: `apikey`,
password: `${this.ibm_cloud_speech_to_text.$auth.api_key}`,
},
data,
})
},
})
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})