🚀 EmbyVision OCR (GPU Edition) — NVIDIA GPU Accelerated OCR for Emby Credits Detector

2026-08-02T01:36:43Z

Here's a polished Emby Community forum post that would fit well in the Tools & Utilities section. It explains what the project is, who it's for, and gives users enough information to get started without overwhelming them.

EmbyVision OCR (GPU Edition) — NVIDIA GPU Accelerated OCR for Emby Credits Detector

Hello everyone!

I'm excited to share EmbyVision OCR (GPU Edition), a standalone OCR microservice designed specifically to work alongside the Emby Credits Detector plugin.

EmbyVision OCR uses PaddleOCR with NVIDIA CUDA acceleration to provide fast, AI-powered text recognition from video frames, helping improve end credit detection while significantly reducing OCR processing time compared to CPU-based solutions.

What is EmbyVision OCR?

EmbyVision OCR is a lightweight REST API that performs Optical Character Recognition (OCR) on video frames.

Instead of relying on traditional OCR engines, it uses PaddleOCR's deep-learning models running on your NVIDIA GPU for improved speed and recognition accuracy.

The service runs independently in Docker and integrates directly with the Emby Credits Detector plugin.

Features

NVIDIA GPU accelerated OCR

CUDA + cuDNN support

AI-powered PaddleOCR engine

Fast OCR processing

Designed specifically for Emby Credits Detector

Docker deployment

Persistent AI model storage

Automatic model downloads

REST API

Self-hosted

Privacy focused

Works great on Unraid

Requirements

This edition requires:

NVIDIA GPU
NVIDIA Driver
NVIDIA Container Toolkit
Docker
Emby Server
Emby Credits Detector plugin
Docker Image Sizes

CPU Edition:
• Image: ghcr.io/encryptedcity/embyvision-ocr:latest
• Size: 1.89 GB
• Requirements: Any Docker host
• GPU: Not required
• CUDA/NVIDIA Runtime: Not required

GPU Edition:
• Image: ghcr.io/encryptedcity/embyvision-ocr-gpu:latest
• Size: 8.34 GB
• Requirements: NVIDIA GPU + Container Toolkit
• CUDA acceleration enabled

Not Supported

This edition will NOT work with:

AMD GPUs
Intel GPUs / Arc
CPU-only systems

If you do not have an NVIDIA GPU, please use the CPU Edition instead.

CPU Edition:

https://github.com/encryptedcity/embyvision-ocr

Installation

The easiest method is Docker Compose.

services:

  embyvision-ocr-gpu:

    image: ghcr.io/encryptedcity/embyvision-ocr-gpu:latest

    container_name: embyvision-ocr-gpu

    restart: unless-stopped

    runtime: nvidia

    ports:
      - "8001:8001"

    volumes:
      - /mnt/user/appdata/embyvision-ocr-gpu/models:/root/.paddleocr

    environment:
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
      - CUDA_VISIBLE_DEVICES=0
      - TZ=America/Edmonton

Start the container:

docker compose up -d

Unraid Users

EmbyVision OCR works very well on Unraid.

Requirements:

NVIDIA Driver Plugin
Docker enabled
NVIDIA compatible GPU

Container settings:

Repository

ghcr.io/encryptedcity/embyvision-ocr-gpu:latest

Port

Persistent Storage

Host:
/mnt/user/appdata/embyvision-ocr-gpu/models

Container:
/root/.paddleocr

Runtime

nvidia

Extra Parameters

--runtime=nvidia

Environment Variables

NVIDIA_VISIBLE_DEVICES=all
CUDA_VISIBLE_DEVICES=0
NVIDIA_DRIVER_CAPABILITIES=compute,utility

First Startup

The first startup downloads the PaddleOCR AI models automatically.

This only happens once.

Future container starts reuse the downloaded models.

Connecting Emby

Inside the Emby Credits Detector plugin, configure the OCR server:

http://YOUR_SERVER_IP:8001

Example:

http://192.168.1.100:8001

Then click Test Connection.

If everything is configured correctly, the plugin will begin using EmbyVision OCR automatically.

Privacy

Everything runs locally.

No cloud services
No telemetry
No external APIs
No accounts
Your media never leaves your server

Source Code

GitHub

GPU Edition

https://github.com/encryptedcity/embyvision-ocr-gpu

CPU Edition

https://github.com/encryptedcity/embyvision-ocr

Feedback

This project is still actively being developed.

Feature requests, bug reports, testing feedback, and suggestions are all welcome.

If you give it a try, I'd love to hear how it performs on your hardware and whether it improves credit detection in your libraries.

Happy scanning!

Edited 1 hour ago by EncryptedCity
banner

Sign In

🚀 EmbyVision OCR (GPU Edition) — NVIDIA GPU Accelerated OCR for Emby Credits Detector

Recommended Posts

EncryptedCity 17