Integrate the Tisane Labs API with the Formatting API

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

Popular Tisane Labs and Formatting Actions#

Analyze Text with the Tisane Labs API

Analyze text for language, entities, sentiment, and other insights. See the documentation

Try it

[Data] Convert JSON to String with the Formatting API

Convert an object to a JSON format string

Try it

Detect Language with the Tisane Labs API

Detects languages used in the specified text fragment. See the documentation

Try it

[Data] Parse JSON with the Formatting API

Parse a JSON string

Try it

Generate Image From Text with the Tisane Labs API

Finds and returns a URL of an image (Creative Commons) best describing the text. See the documentation

Try it

Overview of Tisane Labs#

The Tisane Labs API offers advanced text analysis capabilities, focusing on abusive content detection and linguistic insights. With it, you can automate content moderation, extract entities, detect the sentiment, and identify the language of the text. In Pipedream, Tisane Labs API can be integrated into workflows to process text from various sources such as user comments, support tickets, or social media posts. By leveraging Pipedream's serverless platform, you can create real-time, event-driven applications that respond to text analyses, connect with other services, and perform actions based on the insights gained from the Tisane Labs API.

Connect Tisane Labs#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tisane_labs: {
      type: "app",
      app: "tisane_labs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.tisane.ai/languages`,
      headers: {
        "Ocp-Apim-Subscription-Key": `${this.tisane_labs.$auth.api_key}`,
      },
    })
  },
})

Connect Formatting#

export default defineComponent({
  async run({ steps, $ }) {
    const text = ' Hello world! ';
    return text.trim()
  },
})