> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ingestly.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Quickstart

> Get your first document processed in 5 minutes.

Follow these steps to create a pipeline, build a simple workflow, and extract structured data from a document.

## Prerequisites

* A Ingestly account ([sign up at ingestly.ai](https://ingestly.ai))

<Note>Ingestly is currently in private beta. If you don't have an account yet, request access at [ingestly.ai/beta](https://ingestly.ai/beta). Once your invite is approved you'll receive an email with a link to complete signup.</Note>

<Steps>
  <Step title="Sign up and log in">
    Go to [ingestly.ai](https://ingestly.ai) and create your account. After signing in, you land on the **Dashboard**. Click **Pipelines** in the sidebar to continue.
  </Step>

  <Step title="Create your first pipeline">
    Click **New Pipeline** and enter a name (for example, "Invoice Extraction"). A pipeline is the named workflow that holds your configuration, uploaded documents, and processing runs.
  </Step>

  <Step title="Build the workflow">
    Navigate to the **Pipeline** tab inside your new pipeline. The visual editor opens with an empty canvas.

    Add these three nodes to create a basic extraction pipeline:

    1. **Upload trigger:** accepts document uploads
    2. **Extract action:** uses AI to extract structured data from the document. Configure a schema with the fields you want to extract (for example: `vendor_name`, `invoice_number`, `total_amount`).
    3. **Download output:** makes the extracted data available as a structured `JSON` file you can download once the run completes

    Connect the nodes in order: Upload Trigger → Extract Action → Download Output.

    Click **Save** to save your pipeline, then **Activate** to enable it.
  </Step>

  <Step title="Upload a document">
    Inside your pipeline, click **Upload**. In the upload dialog, drag and drop a document or click to browse. Ingestly supports PDF, JPEG, PNG, TIFF, and HEIC formats.

    Once uploaded, a run starts automatically. You can watch the progress in real time.
  </Step>

  <Step title="View results">
    Click the **Runs** tab inside your pipeline. Click on a run row to open its detail page, which shows each step in your pipeline, its status, and the extracted data.

    Once the run completes, use the **Download output** step on the run detail page to download the structured result as a `JSON` file.
  </Step>
</Steps>

## Next steps

<CardGroup cols={2}>
  <Card title="Build your first pipeline" icon="diagram-project" href="/guides/build-first-pipeline">
    Learn more about the visual pipeline editor and all available node types
  </Card>

  <Card title="Core concepts" icon="lightbulb" href="/pipelines/introduction">
    Understand pipelines, runs, and review tasks in depth
  </Card>

  <Card title="Schema design" icon="table" href="/guides/schema-design">
    Design effective extraction schemas for your documents
  </Card>

  <Card title="API access" icon="key" href="/guides/webhook-trigger">
    Trigger pipelines programmatically via the HTTP API
  </Card>
</CardGroup>