with Docparser and Metatext.AI Pre-build AI models API?
Emit new event every time a document is processed and parsed data is available. See the documentation
Fetches a document from a provided URL and imports it to Docparser for parsing. See the documentation
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation
Identify and extract significant keywords from the given text. See the documentation
Uploads a document to docparser that initiates parsing immediately after reception. See the documentation
Generate a blog post based on the given prompt. See the documentation
Docparser is a tool for extracting data from documents, such as PDFs, Word, and images. With the Docparser API, you can automate the process of capturing data without manual entry, transforming documents into actionable information. It shines in scenarios where structured information needs to be pulled from files that typically require manual data entry, such as invoices, forms, and reports.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
docparser: {
type: "app",
app: "docparser",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.docparser.com/v1/ping`,
auth: {
username: `${this.docparser.$auth.api_key}`,
password: ``,
},
})
},
})
The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_pre_build_ai_models_api: {
type: "app",
app: "metatext_ai_pre_build_ai_models_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
},
data,
})
},
})