✅ Requirements

[OS] Windows 10 x64, Version 1903 later Windows 11 x64

[Pre-requisites] .NET Desktop Runtime 10 If not installed, a installer dialog will appear Microsoft Visual C++ Redistributable Version >= 2022 (for Whisper ASR, Tesseract OCR) Note that if this is not installed, the app will launch, but will crash when ASR or OCR is enabled!

[For Nvidia User (RTX GPU)] * Note: Having CUDA driver will make the generating of subtitles faster CUDA Toolkit

🚀 Getting Started

1. Download builds from release

1. Launch LLPlayer

Please open LLPlayer.exe.

1. Open Settings

Press CTRL+. or click the settings icon on the seek bar to open the settings window.

1. Download Whisper Model for ASR

From Subtitles > ASR section, please download Whisper's models for whisper.cpp. You can choose from a variety of models, the larger the size, the higher the load and accuracy.

Note that models with En endings are only available in English.

Audio Language allows you to manually set the language of the video (audio). The default is auto-detection.

If you want to use the faster-whisper engine instead of whisper.cpp, please download the engine instead of models from the settings. With faster-whisper, selected model is automatically downloaded the first time, so no prior download is required.

A description of each engine can be found here.

1. Set Translation Target Language

To use the translation function, please set your native language. This is called the target language. The source language is detected automatically.

From Subtitles > Translate section, please set the Target Language at the top.

The default translation engine is GoogleV1.

If you want to use another translation engine, you will need to configure it in settings. You will find detail information in here.

1. Play any videos with subtitles!

You can play it from the context menu or by dropping the video.

For online videos, you can also play it by pasting the URL with CTRL+V or from context menu.

There are two CC buttons on the bottom seek bar.

The left is the primary subtitle and the right is the secondary subtitle. Please set your learning language for the primary subtitle and your native language for the secondary subtitle.

Adding external subtitles is done in the same way as for videos, either by dragging or from the context menu.

1. Open CheatSheet

You can open a built-in CheatSheet by pressing F1 or from ContextMenu.

All keyboard and mouse controls are explained. Keyboard controls are fully customizable from the settings.

🔨 Build

1. Clone the Repository

$ git clone git@github.com:umlx5h/LLPlayer.git

1. Open Project

Install Visual Studio or JetBrains Rider and open the following slnx file.

$ ./LLPlayer.slnx

1. Build

Select LLPlayer project and then build and run.

🎬 Demo

https://github.com/user-attachments/assets/05a7b451-ee3b-489f-aac9-f1670ed76e71

TED Talk - The mind behind Linux

🖼️ Screenshot

TED Talk - The mind behind Linux

❓ FAQ

Q: Does ASR or OCR or translation require network communication?

ASR (auto-generated subtitles) and OCR subtitles are all performed locally. Therefore, no network communication occurs at all.

However, the model needs to be downloaded only once for the first time, and this is the only place where network communication occurs.

Translation works locally if you choose Ollama or LM Studio API. Your privacy is fully guaranteed because it is free and OSS.

Q: How can I speed up the ASR? (whisper.cpp)

By default, only the CPU is used to generate subtitles. Setting Threads to 2 or more from the ASR settings may improve performance.

Note that setting it above the number of CPU threads is meaningless.

If your machine is equipped with a NVIDIA or AMD GPU, you can expect even faster generation by enabling CUDA or Vulkan from the Hardware Options in the ASR settings.

Certain runtimes may require a toolkit to be installed in advance. See the link below for details.

https://github.com/sandrohanea/whisper.net?tab=readme-ov-file#runtimes-description

The available ones will be used in order of priority from the top. Note that changing the hardware options settings will require a restart.

Q: What if I want to look up a dictionary from a word?

You can translate words, but cannot currently look up dictionaries.

I plan to support the dictionary API in the future, but is not currently supported because it is difficult to support a lot of languages.

Instead, you can copy selected words to the clipboard. Certain dictionary tools can monitor the clipboard and search for words.

For English-English dictionaries, LDOCE5 Viewer is highly recommended.

Q: Can I use browser extensions such as Yomitan or 10ten?

Currently not available within the video player, but you can send subtitle text to your browser via the clipboard. Thus, you can check the meaning of words with any browser extension such as Yomitan, 10ten.

A little preparation is required, please check following page. https://github.com/umlx5h/LLPlayer/wiki/Browser-Extensions-Integration

Q: How do I update yt-dlp.exe?

yt-dlp.exe is located in the following path.

Plugins/YoutubeDL/yt-dlp.exe

You can download latest version executable from the following.

https://github.com/yt-dlp/yt-dlp/releases/

If you want to update, please download and copy it to the specified path.

Q: What is the difference between VLC and LLPlayer?

VLC is a general-purpose media player. In contrast, LLPlayer has many useful features especially for language learning.

Q: Why perform subtitle generation and translation in real time?

Laziness is the main reason. Generating subtitles in advance is quite tedious, especially for online video. ASR and translation can be performed from any playback position, so even if you only want to watch a portion of the video with subtitles, you can do so without waiting at all.

In addition, advances in software and hardware allow for maximum accuracy in ASR and translation.