api4ai offers a multitude of ready-to-use AI APIs to extract information from your images.
Accurately identifies alcohol labels using advanced intelligent technologies. Powered by API4AI.
Convert an object to a JSON format string
Automatically and quickly remove image background with high accuracy. Powered by API4AI.
The service processes input image and responds with a list of found brand logos. Powered by API4AI.
API4AI offers a range of artificial intelligence solutions and APIs for diverse applications, including content moderation, image recognition, and text analysis. Built on a robust cloud technology stack, our APIs guarantee seamless operability, scalability, and reliable uptime. Our aim is to provide standalone AI solutions that effortlessly integrate into any application with minimal setup required.
All API4AI APIs are subscription-based and managed through RapidAPI
šļøļø Website: https://api4.ai
š© Email: hello@api4.ai
š¬ Chat: https://t.me/a4a_support_bot
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
api4ai: {
type: "app",
app: "api4ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://general-detection.p.rapidapi.com/v1/algos`,
headers: {
"X-RapidAPI-Key": `${this.api4ai.$auth.api_key}`,
"X-RapidAPI-Host": `general-detection.p.rapidapi.com`,
},
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})