Automated transcription, translation, and subtitling. Over 40 languages supported. Fast, accurate, and affordable.
Emit new event any time the media status of an item changes to completed.
Creates a new translation for a selected media file. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Gets the text transcript of a selected media file. See the documentation
The Sonix API enables automated transcription of audio and video files into text, offering functions like uploading media, managing files, and retrieving transcripts. Leveraging Pipedream’s capabilities, you can integrate the Sonix API with various services to streamline media processing workflows, making transcription tasks more efficient. By automating interactions with Sonix, you can trigger actions based on the transcription status, analyze content, and connect transcribed text with other apps for further processing or analysis.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sonix: {
type: "app",
app: "sonix",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.sonix.ai/v1/media`,
headers: {
Authorization: `Bearer ${this.sonix.$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}}