Nano Nets

Automate Document Workflows

Integrate the Nano Nets API with the Schedule API

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

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

 
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Daily schedule from the Schedule API

Trigger your workflow every day.

 
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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

 
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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

 
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Overview of Nano Nets

The Nano Nets API offers machine learning capabilities to classify images, extract data, and automate processes with custom models. Through Pipedream's serverless platform, you can trigger workflows from various events, manipulate and route data from the Nano Nets API, and connect it to hundreds of other apps to automate complex tasks. Pipedream's built-in code steps also allow you to transform data, make HTTP requests, and handle logic right inside your workflows.

Connect Nano Nets

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nano_nets: {
      type: "app",
      app: "nano_nets",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.nanonets.com/api/v2/OCR/Model/{your_model_id_here}`,
      auth: {
        username: `${this.nano_nets.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

Overview of Schedule

The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.