AiVOOV
Convert your text to Speech using AI Voices. AiVOOV is a hassle-free online tool that converts user input text into voice.
Integrate the AiVOOV API with the Go API
Setup the AiVOOV API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate AiVOOV and Go remarkably fast. Free for developers.
Popular AiVOOV and Go Actions#
Converts text to audio using the Aivoov API. See the documentation
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 AiVOOV#
AiVOOV API offers speech recognition capabilities that enable you to convert audio into text, supporting various languages. This can be particularly useful for transcription services, content generation, and multilingual support systems. On Pipedream, you can leverage this API to create powerful serverless workflows that trigger upon receiving audio data, automatically transcribing it and connecting the output to countless other services for processing, analysis, or storage.
Connect AiVOOV#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
aivoov: {
type: "app",
app: "aivoov",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://aivoov.com/api/v1/voices?provider=aws`,
headers: {
"X-API-KEY": `${this.aivoov.$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)
}