Ollama OCR for web

Ollama-OCR Product Introduction

Ollama-OCR is an open source free optical character recognition model based on Ollama for extracting text from images.

Features

Supports multiple advanced visual language models, such as LLaVA, Llama 3.2 Vision and MiniCPM-V 2.6, providing high-precision text recognition.

Handles single image, multiple image and video inputs.

Supports multiple output formats such as Markdown, plain text, and JSON.

Simplify deployment with Docker.

Provide detailed usage documentation and examples.

target users

Developers can integrate it into various applications to achieve image text recognition.

Researchers can use it to study the performance of visual language models in OCR tasks.

Business users can use it to automate document processing and image content analysis to improve efficiency.

Usage scenarios

Developers build web applications such as online document scanning services.

Researchers study OCR performance under different image scenarios.

Enterprises automatically process image documents such as invoices and contracts.

Tutorial

1. Install Ollama.

2. Pull the required model (such as llama3.2-vision, llava, minicpm-v).

3. Clone the ollama-ocr repository.

4. Install dependencies.

5. Start the development server.

6. Input an image to get text output.