Parseur is the most powerful and user-friendly mail parser. A data extraction tool to automatically extract text from your emails, pdfs, and other documents.
Emit new event when a new document is not processed. It is triggered when a document fails to process with status New Template Needed
. See the docs.
Emit new event when a new document is processed. It is useful for endpoints that don't support deep JSON structures as it will flatten your table fields. See the docs.
Emit new event when a new document is processed with list items. The payload format is the same as when viewing the document and clicking on view as JSON
. See the docs.
Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs.
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs.
This task is well known to translate text from one language to another. See the docs.
This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects. See the docs.
Usually used for sentiment-analysis this will output the likelihood of classes of an input. This action allows you to classify text into categories. See the docs.
Parseur is a powerful email parsing tool that automates the extraction of data from emails and documents. With its API, you can unlock the data trapped in emails and documents and transform it into structured data. On Pipedream, you can use Parseur to trigger workflows from parsed email data, connecting it to hundreds of other services for endless automation possibilities. This can streamline business processes like lead management, invoice processing, and data entry by automating the extraction and flow of critical information.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
parseur: {
type: "app",
app: "parseur",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.parseur.com/parser`,
headers: {
"Authorization": `Token ${this.parseur.$auth.api_token}`,
},
})
},
})
The Hugging Face API provides access to a vast range of machine learning models, primarily for natural language processing (NLP) tasks like text classification, translation, summarization, and question answering. It lets you leverage pre-trained models and fine-tune them on your data. Using the API within Pipedream, you can automate workflows that involve language processing, integrate AI insights into your apps, or respond to events with AI-generated content.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hugging_face: {
type: "app",
app: "hugging_face",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://huggingface.co/api/whoami-v2`,
headers: {
Authorization: `Bearer ${this.hugging_face.$auth.access_token}`,
},
})
},
})