Integrate the Trint API with the Go API

Setup the Trint API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Trint and Go remarkably fast. Free for developers.

Popular Trint and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

Try it

The Trint API allows you to harness the power of automated transcription and translation. With Trint, you can convert audio and video files into searchable, editable text. It supports multiple languages and provides features like speaker identification and timestamping. Using the Trint API within Pipedream, you can create automated workflows that process media files, extract valuable insights, and integrate transcribed content into databases, content management systems, or other third-party services.

Connect Trint#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    trint: {
      type: "app",
      app: "trint",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.trint.com/transcripts`,
      headers: {
        "Accept": `application/json`,
        "api-key": `${this.trint.$auth.api_key}`,
      },
      params: {
        limit: `{your_limit}`,
        skip: `{your_skip}`,
      },
    })
  },
})

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)
}