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Nexora

Status: Experimental Base Model: Qwen3.5 0.8B Task: OCR / Text Extraction Version: v0.1

Nexora is a lightweight Python toolkit for working with AI models and machine learning capabilities.

The project is designed as a modular AI ecosystem, providing a unified Python interface for different model families and capabilities.

Installation

Install Nexora from PyPI:

pip install nexora-ai

Quick Start

Optical Character Recognition

from nexora.ocr import NexoraOCR

ocr = NexoraOCR()

result = ocr.read("image.png")

print(result)

Nexora automatically loads the configured model and performs inference using the provided image.

Project Structure

Nexora uses a modular architecture so different AI capabilities can be integrated through dedicated modules.

nexora/
├── src/
│   └── nexora/
│       ├── __init__.py
│       │
│       └── ocr/
│           ├── __init__.py
│           ├── ocr.py
│           ├── model.py
│           ├── processor.py
│           └── result.py
│
├── tests/
├── README.md
├── LICENSE
├── requirements.txt
└── pyproject.toml

OCR

The OCR module provides an interface for extracting text from images using Nexora OCR models.

from nexora.ocr import NexoraOCR

ocr = NexoraOCR()

result = ocr.read("image.png")

print(result.text)

The API is designed to keep OCR inference simple while allowing the underlying model and implementation to evolve independently.

Model

The initial OCR implementation uses:

ArkAiLab-Adl/nexora-ocr-v0.1-0.8b

The model is based on the Qwen3.5-0.8B architecture and is distributed through the Hugging Face Hub.

Nexora keeps model weights separate from the Python distribution and handles model loading and inference through its internal model interface.

Requirements

Nexora currently relies on the following core libraries:

  • PyTorch
  • Transformers
  • Hugging Face Hub
  • Accelerate
  • SafeTensors
  • Pillow
  • NumPy

Python 3.10 or newer is recommended.

Development

Clone the repository:

git clone https://github.com/ArkDevelopmentLabs/nexora
cd nexora

Create a virtual environment:

python -m venv .venv

Activate it on Windows:

.\.venv\Scripts\Activate.ps1

Install the development dependencies:

pip install -r requirements.txt

Install Nexora in editable mode:

pip install -e .

Roadmap

Nexora is being developed as a broader AI toolkit.

Planned improvements include:

  • Improved OCR inference
  • Batch inference
  • GPU and CPU optimization
  • Additional model integrations
  • Model management utilities
  • Additional computer vision capabilities
  • Additional machine learning capabilities
  • Improved inference and deployment utilities

The API and implementation details may evolve as the project develops.

License

Nexora is licensed under the Apache License 2.0.

See the LICENSE file for the complete license text.

Project

Nexora is developed by ArkDevLabs.

GitHub:

https://github.com/ArkDevelopmentLabs/nexora

PyPI:

https://pypi.org/project/nexora-ai/

Status

Nexora is currently in alpha development.

The 0.1.x releases are intended for experimentation, development, and early testing. APIs and implementation details may change between releases.

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