Documentation - VisionVerse OCR Explorer

Quick Start Guide

Getting Started

VisionVerse OCR Explorer leverages DeepSeek's state-of-the-art OCR technology to extract text from images with incredible accuracy.

1. Install Dependencies

# Clone the repository
git clone https://huggingface.co/deepseek-ai/DeepSeek-OCR

# Install required packages
pip install transformers torch pillow requests

2. Set up API Access

# Get your Hugging Face token
# Visit: https://huggingface.co/settings/tokens

# Set environment variable
export HUGGINGFACE_HUB_TOKEN=your_token_here

Usage Examples

Python Integration

from transformers import pipeline
import requests
from PIL import Image

# Initialize OCR pipeline
ocr_pipeline = pipeline("image-to-text", 
                       model="deepseek-ai/DeepSeek-OCR")

# Process an image
image_path = "your_image.jpg"
result = ocr_pipeline(image_path)

print(result[0]['generated_text'])

REST API Example

import requests

API_URL = "https://api-inference.huggingface.co/models/deepseek-ai/DeepSeek-OCR"
headers = {"Authorization": "Bearer YOUR_HF_TOKEN"}

def query_ocr(image_path):
    with open(image_path, "rb") as f:
        data = f.read()
    response = requests.post(API_URL, headers=headers, data=data)
    return response.json()

# Usage
result = query_ocr("document.jpg")
print(result)

Features & Capabilities

Multi-language Support

Supports 100+ languages including English, Chinese, Arabic, Japanese, and European languages

High Accuracy

Achieves 99%+ accuracy on printed text and 95%+ on handwritten text

Fast Processing

Processes images in milliseconds with optimized AI algorithms

Layout Analysis

Understands complex document layouts, tables, and multi-column formats

Document Types

Handles receipts, invoices, forms, books, screenshots, and more

Privacy Focused

All processing happens locally or on secure Hugging Face servers

API Reference

Hugging Face Inference API

Endpoint

POST https://api-inference.huggingface.co/models/deepseek-ai/DeepSeek-OCR

Headers

Authorization: Bearer {your_token}
Content-Type: application/octet-stream

Request Body

Binary image data (JPG, PNG, BMP, WEBP)

Response Format

{
    "generated_text": "Extracted text content..."
}

Installation Guide

Step-by-Step Setup

Install Python 3.8+ and pip
Install required dependencies
Set up Hugging Face authentication
Test the installation

Requirements

Python 3.8 or higher
PyTorch 1.9+
Transformers 4.20+
Pillow for image processing
Hugging Face Hub for model access