OpenScan-1.0 📸🧠

A lightweight, local-first AI-powered OCR system for extracting and structuring text from images.

📌 Overview

OpenScan-1.0 is a modern OCR pipeline that combines vision models and language models to extract text from images and convert it into clean, structured output.

Unlike traditional OCR engines, OpenScan focuses on:

• Handling noisy and low-quality images
• Improving extracted text using AI
• Providing flexible output formats

🧠 How It Works

Image → Vision Model → Raw Text → AI Cleanup → Structured Output

Pipeline:

1. Vision Model (BakLLaVA / LLaVA) → Extracts raw text from images

2. OpenScan Model → Cleans, corrects, and structures the text

3. Optional Post-processing → Converts into formats like JSON, Markdown, or plain text

⚙️ Requirements

• GPU: NVIDIA RTX 20xx (recommended, optional)
• RAM: 16GB
• OS: Linux / Windows

Software:

• Ollama
• Python 3.10+
• OpenCV (optional for preprocessing)

🚀 Installation

1. Install Ollama

https://ollama.com

2. Pull Vision Models

ollama pull bakllava
ollama pull llava:7b

3. Create OpenScan Model

Create a Modelfile:

FROM llava:7b

SYSTEM "You are OpenScan-1.0, an AI OCR assistant. Extract text from images accurately, fix OCR errors, and return clean, structured output."

PARAMETER temperature 0.2
PARAMETER top_p 0.9

Build the model:

ollama create OpenScan-1.0 -f Modelfile

🧪 Usage

Step 1 — Extract Raw Text

ollama run bakllava

Prompt:

Extract all visible text from this image exactly as written.
Do not explain anything.

Step 2 — Clean & Structure Text

ollama run OpenScan-1.0

Prompt:

Clean and structure this OCR output.
Fix errors and return readable text.

📄 Example

Input (raw OCR)

H3llo W0rld!!
Th1s 1s @ t3st.

Output (cleaned)

Hello World!!
This is a test.

⚠️ Limitations

• Performance depends on image quality
• Handwritten text may reduce accuracy
• Complex layouts may require multiple passes

🔥 Roadmap

• Automatic image preprocessing
• Layout detection (tables, paragraphs)
• Multi-language support
• Web UI and API integration

🤝 Contributing

Contributions are welcome:

• Improve OCR accuracy
• Enhance prompts
• Add new output formats

📜 License

This project relies on third-party models. Ensure compliance with respective model licenses.

🏢 Maintained By

HSR Projects

📣 Disclaimer

OpenScan-1.0 is an experimental OCR system. Results may vary depending on input quality and model limitations.

🚀 Vision

Not just OCR — intelligent text understanding.