The media player for language learning, with dual subtitles, AI-generated subtitles, realtime-OCR, translation, word lookup, and more!
Download NowUnlike normal media players, LLPlayer has many unique subtitle-related features mainly to support language learning.
LLPlayer supports dual subtitles, two languages can be displayed
simultaneously.
The size and positioning can be adjusted regardless of
text or bitmap format.
Unlike other players, the two subtitles never overlap.
Powered by
OpenAI Whisper, LLPlayer supports real-time automatic subtitle generation (ASR)
from any video and audio, which supports 100 languages.
It is efficient because subtitles can be generated from
any position in the video asynchronously.
It also supports CUDA, Vulkan, OpenVINO for
fast subtitle generation.
LLPlayer supports real-time translation of subtitles.
It
supports Google Translate and DeepL.
Currently
134 languages are supported!
Bitmap format subtitles cannot normally be recognized as text,
but
LLPlayer can convert bitmap subtitles to text in real-time using
OCR.
Unlike usual programs, it uses ffmpeg native API directly and is
therefore very fast.
It supports
TesseractOCR
and MicrosoftOCR.
LLPlayer supports many video and subtitle formats, thanks to
ffmpeg and
Flyleaf
libraries.
It supports text and
bitmap subtitles, as well as built-in and external
subtitles.
By clicking on a word in the subtitle, the meaning of the word can
be displayed in a pop-up window.
You can search on any website or copy it to the clipboard.
LLPlayer supports a subtitles sidebar.
Supports
text and bitmap subtitles.
You can seek and
look up the meaning of words.
It will also have an anti-spoiler feature.
With
yt-dlp, online videos such as YouTube can be played in real-time.
Automatic subtitle generation and translation can
also be performed in real time.
The source of LLPlayer is available on GitHub under the GPL
licence and can be customized freely.
All code is written in C#, making it easy to customize for
anyone needs.
LLPlayer is currently available only for Windows. The source code is available on GitHub.