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krishnachoudhary-hclguvi commited on
Fix README frontmatter using plain emoji
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README.md
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**Alldocex** is a high-performance, professional-grade document intelligence platform that extracts, analyzes, and summarizes content from various document formats using state-of-the-art AI.
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##
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* **Multi-Format Extraction**: Supports PDF, DOCX, and high-resolution images (PNG, JPG, TIFF, etc.).
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* **Layout-Aware PDF Engine**: Uses advanced 'layout' mode to preserve columns, tables, and physical text positioning.
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* **Downloadable Results**: Export extracted text as clean `.txt` files.
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* **Corporate UI**: A professional Blue & White dashboard with smooth animations and intuitive navigation.
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##
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* **Backend**: [FastAPI](https://fastapi.tiangolo.com/) (Async Python)
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* **PDF Processing**: [PyMuPDF](https://pymupdf.readthedocs.io/en/latest/) (Layout Mode)
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* **NLP**: [spaCy](https://spacy.io/) & [Sumy](https://github.com/miso-belica/sumy)
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* **Frontend**: Vanilla HTML5, CSS3 (Modern UI), and JavaScript (ES6+)
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##
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### 1. Clone the repository
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```bash
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python -m spacy download en_core_web_sm
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```
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##
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1. Start the backend server:
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```bash
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`http://localhost:7860
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`
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##
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1. **Direct Upload**: Drag and drop your PDFs or images into the dashboard.
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2. **Format Selection**: Click on specific badges (PDF, PNG, JPG) to open a filtered file picker.
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---
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---
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title: Text Extraction Api
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emoji: 🏃
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colorFrom: blue
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colorTo: indigo
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sdk: docker
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pinned: false
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---
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---
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title: Text Extraction Api
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emoji: ??
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colorFrom: blue
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colorTo: white
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sdk: docker
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pinned: false
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---
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# Alldocex — Intelligent Document Processing System
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**Alldocex** is a high-performance, professional-grade document intelligence platform that extracts, analyzes, and summarizes content from various document formats using state-of-the-art AI.
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## 🚀 Key Features
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* **Multi-Format Extraction**: Supports PDF, DOCX, and high-resolution images (PNG, JPG, TIFF, etc.).
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* **Layout-Aware PDF Engine**: Uses advanced 'layout' mode to preserve columns, tables, and physical text positioning.
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* **Downloadable Results**: Export extracted text as clean `.txt` files.
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* **Corporate UI**: A professional Blue & White dashboard with smooth animations and intuitive navigation.
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## ðŸ› ï¸ Technology Stack
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* **Backend**: [FastAPI](https://fastapi.tiangolo.com/) (Async Python)
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* **PDF Processing**: [PyMuPDF](https://pymupdf.readthedocs.io/en/latest/) (Layout Mode)
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* **NLP**: [spaCy](https://spacy.io/) & [Sumy](https://github.com/miso-belica/sumy)
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* **Frontend**: Vanilla HTML5, CSS3 (Modern UI), and JavaScript (ES6+)
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## 📦 Installation
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### 1. Clone the repository
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```bash
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python -m spacy download en_core_web_sm
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```
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## 🃠Getting Started
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1. Start the backend server:
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```bash
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`http://localhost:7860
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`
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## 📘 Usage
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1. **Direct Upload**: Drag and drop your PDFs or images into the dashboard.
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2. **Format Selection**: Click on specific badges (PDF, PNG, JPG) to open a filtered file picker.
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---
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