Integrate the world's best machine translator into your own products and services.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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.
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}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}