Temi
Temi is an audio transcription service that uses computers to transcribe English audio or video into text. We also offer rich editing tools that you can use to annotate and edit your transcripts.
Integrate the Temi API with the Go API
Setup the Temi API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Temi and Go remarkably fast. Free for developers.
Popular Temi and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Temi#
Temi API offers automated transcription services, converting audio and video files into text. With Pipedream's robust platform, you can exploit Temi's capabilities to activate a myriad of automated workflows, from transcribing meeting recordings for easy reference to triggering tasks based on the presence of keywords in transcribed text. The real power lies in connecting these transcriptions to other services for further analysis, archiving, or even real-time alerting.
Connect Temi#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
temi: {
type: "app",
app: "temi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.temi.com/v1/account`,
headers: {
Authorization: `Bearer ${this.temi.$auth.api_key}`,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}