OCRSpace

The OCR.space Online OCR service converts scans or (smartphone) images of text documents into editable files by using Optical Character Recognition (OCR). The OCR software also can get text from PDF . Our Online OCR service is free to use, no registration necessary. Just upload your image files.

Integrate the OCRSpace API with the Python API

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

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.

 
Try it

Overview of OCRSpace

The OCRSpace API enables text extraction from images and PDFs, converting various image formats into editable and searchable data. This service is a game-changer for automating document handling processes, where the need to digitize content is crucial. Pipedream's platform allows for seamless integration of OCRSpace's capabilities with various apps to streamline workflows, such as organizing documents, populating databases, or even triggering event-driven actions based on the extracted content.

Connect OCRSpace

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ocrspace: {
      type: "app",
      app: "ocrspace",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ocr.space/parse/imageurl`,
      params: {
        apikey: `${this.ocrspace.$auth.apikey}`,
        url: `image_url_goes_here`,
      },
    })
  },
})

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

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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}}