Integrate the OCR Web Service API with the Python API

Setup the OCR Web Service API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate OCR Web Service and Python remarkably fast. Free for developers.

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Popular OCR Web Service and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of OCR Web Service#

The OCR Web Service API on Pipedream allows users to convert scanned documents, images, and PDFs into editable and searchable text formats. Leveraging OCR (Optical Character Recognition) technology, this API is powerful for extracting text data efficiently. On Pipedream, you can integrate OCR Web Service with various other platforms to automate workflows like document management, data entry, and content archiving, enhancing productivity and reducing manual errors across diverse business processes.

Connect OCR Web Service#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ocr_web_service: {
      type: "app",
      app: "ocr_web_service",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.ocrwebservice.com/restservices/getAccountInformation`,
      auth: {
        username: `${this.ocr_web_service.$auth.username}`,
        password: `${this.ocr_web_service.$auth.license_api_password}`,
      },
    })
  },
})

Overview of Python#

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:

Connect Python#

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}}

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