Speech to Text
Emit new event when a new message is posted to one or more channels
Emit new event when a message was posted in a direct message channel
Emit new events on new Slack interactivity events sourced from Block Kit interactive elements, Slash commands, or Shortcuts.
Emit new event when a specific keyword is mentioned in a channel
Send a message to a user, group, private channel or public channel. See the documentation
Configure custom blocks and send to a channel, group, or user. See the documentation.
Send a message as a threaded reply. See postMessage or scheduleMessage docs here
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,
})
},
})
The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.
The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
slack: {
type: "app",
app: "slack",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://slack.com/api/users.profile.get`,
headers: {
Authorization: `Bearer ${this.slack.$auth.oauth_access_token}`,
},
})
},
})