Convert your text to Speech using AI Voices. AiVOOV is a hassle-free online tool that converts user input text into voice.
Converts text to audio using the Aivoov API. See the documentation
Add or update a single record in your Pipedream Data Store.
Add or update multiple records to your Pipedream Data Store.
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.
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.
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}`,
},
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})