OCR Workflow: N8N Automation for Document Processing 🌟

Welcome to the OCR Workflow repository! This project leverages N8N to automate Optical Character Recognition (OCR) tasks. Our goal is to provide a streamlined, codeless solution for processing PDF documents and extracting valuable information using AI technologies.

Table of Contents

• Introduction
• Features
• Getting Started
• Workflow Overview
• Installation
• Usage
• Contributing
• License
• Contact

Introduction

In today’s digital age, managing documents efficiently is crucial. The OCR Workflow project aims to simplify this process by using N8N, a powerful workflow automation tool. By integrating OCR capabilities, users can extract text from scanned documents and images effortlessly.

Why Use OCR?

Optical Character Recognition (OCR) transforms different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data. This process saves time and reduces manual data entry errors.

Features

• Codeless Automation: Build workflows without writing code.
• Integration with N8N: Seamlessly connect various services and tools.
• PDF Document Processing: Extract text from PDF files easily.
• AI-Powered Recognition: Utilize advanced AI technologies for accurate text extraction.
• User-Friendly Interface: Navigate through workflows with ease.

Getting Started

To get started with the OCR Workflow, visit our Releases section to download the latest version. Follow the instructions below to set up your environment.

Prerequisites

• Node.js installed on your machine.
• Basic understanding of N8N and its functionalities.

Workflow Overview

The OCR Workflow consists of several key components that work together to automate the document processing task:

1. Input Node: Accepts PDF documents or images.
2. OCR Node: Processes the input to extract text.
3. Output Node: Sends the extracted text to a specified destination (e.g., email, database).

This workflow can be customized further based on user requirements, making it versatile for various applications.

Installation

To install the OCR Workflow, follow these steps:

1. Clone the Repository:

   git clone https://github.com/gani114433/OCR_workflow.git
   cd OCR_workflow

2. Install Dependencies:

   npm install

3. Start N8N:

   n8n start

4. Access N8N: Open your web browser and navigate to http://localhost:5678.

5. Import the Workflow: Use the N8N interface to import the OCR workflow file provided in this repository.

Usage

Once you have set up the workflow, you can start processing documents:

1. Upload a PDF Document: Use the input node to upload your document.
2. Run the Workflow: Trigger the workflow to start the OCR process.
3. View Results: Check the output node for the extracted text.

For more detailed usage instructions, refer to the documentation provided in this repository.

Contributing

We welcome contributions to enhance the OCR Workflow. If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your branch to your forked repository.
5. Create a pull request.

Please ensure that your code adheres to the existing coding style and includes relevant tests.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For questions or feedback, please reach out to us through the repository or visit our Releases section for updates.

Thank you for checking out the OCR Workflow! We hope this project simplifies your document processing tasks.