--- title: Demo DeepSeek OCR emoji: 🦀 colorFrom: indigo colorTo: red sdk: gradio sdk_version: 5.49.1 app_file: app.py pinned: false license: mit short_description: Aplicación OCR inteligente basada en DeepSeek-AI,AB --- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference # 🧠 Demo DeepSeek OCR (Light Version) Welcome to **Demo DeepSeek OCR**, an experimental project developed by **Andrey Beltrán** to explore the power of **open-source AI models** for Optical Character Recognition (OCR). This lightweight demo uses **EasyOCR** for text extraction, providing a simple and efficient alternative when GPU resources are not available. It serves as a **proof of concept** for building and deploying vision-based AI applications on **Hugging Face Spaces** using only CPU. --- ## 🚀 Features - 📝 Extract text from images with high precision - 🧾 Convert image content into Markdown format - 🟥 Draw bounding boxes for computer vision tasks - 🧠 Summarize or explain image content (ideal for documents, charts, and tables) --- ## ⚙️ Technology Stack | Component | Description | |------------|-------------| | **Framework** | [Gradio](https://gradio.app) – Interactive UI for machine learning demos | | **OCR Engine** | [EasyOCR](https://github.com/JaidedAI/EasyOCR) – Lightweight open-source OCR library | | **Hosting** | [Hugging Face Spaces](https://huggingface.co/spaces) – Free platform for ML demos | | **Language Support** | English 🇺🇸 and Spanish 🇪🇸 | | **Hardware** | CPU-only (no GPU required) | --- ## 🧩 Project Structure