Integrate the AltText.ai API with the Python API

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

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Popular AltText.ai and Python Actions#

Generate Alt Text with the AltText.ai API

Generates a descriptive alt text for a given image. See the documentation

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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 AltText.ai#

AltText.ai provides an API that leverages artificial intelligence to generate alternative text (alt text) for images, which is crucial for web accessibility and SEO. With AltText.ai, you can automate the process of creating descriptive, keyword-rich, and meaningful alt text for images on websites, blogs, or online stores. In Pipedream, you can create workflows that trigger on various events to send images to the AltText.ai API and receive alt text, which you can then store or apply to your content management system automatically.

Connect AltText.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    alttext_ai: {
      type: "app",
      app: "alttext_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://alttext.ai/api/v1/account`,
      headers: {
        "X-API-Key": `${this.alttext_ai.$auth.api_key}`,
      },
    })
  },
})

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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