AI Data Extraction Tool for Documents and Images
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
extracta_ai: {
type: "app",
app: "extracta_ai",
}
},
async run({steps, $}) {
const data = {
"extractionDetails": {
"name": "CVs Extraction",
"description": "...",
"language": "English",
"options": {
"hasTable": false,
"hasVisuals": false,
"handwrittenTextRecognition": false,
"checkboxRecognition": false
},
"fields": [
{
"description": "",
"example": "",
"key": "name"
},
{
"description": "",
"example": "",
"key": "surname"
},
{
"description": "",
"example": "",
"key": "phone_number"
},
{
"description": "last job title name",
"example": "Programmer",
"key": "last_job_position"
},
{
"description": "the number of years in numbers",
"example": "6",
"key": "years_of_experience"
}
]
}
}
return await axios($, {
method: "post",
url: `https://api.extracta.ai/api/v1/createExtraction`,
headers: {
Authorization: `Bearer ${this.extracta_ai.$auth.api_key}`,
"content-type": `application/json`,
},
data,
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}