DeepL

Integrate the world's best machine translator into your own products and services.

Integrate the DeepL API with the Go API

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

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

Overview of DeepL

The DeepL API provides a powerful machine translation service, allowing you to translate text between languages with a high degree of accuracy and nuance. Leveraging the DeepL API on Pipedream, you can automate multilingual content creation, streamline communication in different languages, and enrich apps with instant translation features. The integration possibilities are vast, enabling you to weave translation capabilities into various workflows, data processing, and content management systems.

Connect DeepL

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    deepl: {
      type: "app",
      app: "deepl",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-free.deepl.com/v2/usage`,
      headers: {
        "Authorization": `DeepL-Auth-Key ${this.deepl.$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

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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)
}