File to URL

The File to URL control allows a user to upload any type of file and get a temporary URL for it.

The File to URL control is a versatile input component that allows a user to upload any type of file (e.g., PDF, CSV, DOCX, ZIP). The control then makes the uploaded file available to the workflow via a temporary, secure URL.

This is the most generic file upload control and can be used when the more specific Upload Image, Upload Audio, or Upload Video controls are not suitable.

When to Use

Use the File to URL control for workflows that need to process files that are not standard images, audio, or video. Common use cases include:

• Extracting text from a PDF document.

• Parsing data from a CSV or Excel file.

• Reading the contents of a text or code file.

• Processing a ZIP archive.

How to Add

1. From your workflow's Build page, click on + Add Input.

2. Select File to URL from the list of available controls.

Configuration

• Title: The main label for the file upload field.

• Description: Optional helper text to provide more context.

• Variable Name: The name used to access the URL of the uploaded file.

• Optional/Required: A toggle to specify if the user must upload a file.

Accessing the Value

After the user uploads a file, this control outputs a temporary, secure URL pointing to that file. This URL is accessible via the variable name you assigned.

For example, if the variable name is document_file, the value of {{document_file}} will be a URL (e.g., https://cdn.agenticflow.ai/.../report.pdf).

Note: This URL is temporary and will expire. It is meant for immediate processing within the workflow run.

Example

Goal: Allow a user to upload a PDF document and ask questions about its content.

1. Add a File to URL Control:

   • Title: "Upload PDF Document"

   • Variable Name: pdf_url

2. Add a Text Input Control:

   • Title: "Your Question"

   • Variable Name: user_question

3. Add a "PDF to Text" Node:

   • PDF URL: {{pdf_url}}

   • Purpose: To extract the raw text from the uploaded PDF.

4. Add an OpenAI MCP Node:

   • Action: Chat

   • Prompt:

   Based on the following document text, please answer the user's question.
   
   Document Text:
   {{pdf_to_text_1.text}}
   
   ---
   User Question:
   {{user_question}}

This workflow creates a simple "Chat with your PDF" application by combining the file upload with text extraction and a powerful language model.