awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
umlx5h avatar

umlx5h/LLPlayer

0
View on GitHub↗
3,110 stars·157 forks·C#·gpl-3.0·32 viewsllplayer.com↗

LLPlayer

LLPlayer is a language learning media player and AI subtitle generator that integrates large language models for real-time audio transcription and translation. It functions as an LLM-integrated video player and SRT transcription tool, utilizing local or remote AI models to generate text subtitles from audio and video streams.

The project distinguishes itself through a contextual translation workflow that sends preceding subtitle lines to language models to maintain conversational flow and sentence structure. It also includes an optical character recognition system to convert bitmap-based subtitles into searchable and editable text.

The software provides a specialized environment for language study, featuring dual subtitle display with independent rendering to prevent visual overlap and a searchable sidebar for timestamp-linked navigation. It includes dictionary and lookup utilities that sync active subtitles to the system clipboard to trigger word definitions via external browser extensions.

Additional capabilities cover online video streaming, external subtitle downloads, and the export of AI-generated transcriptions to standard SRT files.

Features

  • Language Learning Video Players - Provides a specialized video playback environment integrated with linguistic tools for foreign language study.
  • Subtitle Translation - Translates video subtitles using AI that considers preceding lines to preserve sentence structure.
  • Conversational Flow Preservation - Sends sequences of preceding subtitle lines to LLMs to maintain conversational flow and natural sentence structure.
  • LLM Translation Integrations - Integrates large language models to perform context-aware subtitle translation that maintains conversational flow.
  • Automated Video Subtitling - Provides AI-driven pipelines to automatically generate timed subtitles from audio or video streams.
  • Concurrent Dual-Track Rendering - Provides dual subtitle display with independent rendering to ensure both languages are visible without overlapping.
  • Automated Subtitle Generators - Uses AI models to automatically transcribe audio and embed subtitles for media without existing tracks.
  • Language Learning Players - Ships a specialized media player with dual subtitles and dictionary lookups for language acquisition.
  • Contextual Word Lookups - Provides instant word lookup interfaces that trigger definitions when subtitle text is selected.
  • Real-Time Transcription - Implements low-latency, real-time transcription of audio streams to generate subtitles without blocking playback.
  • OCR-Based Extraction - Extracts textual data from image-based subtitle bitmaps using optical character recognition.
  • Bilingual Subtitle Renderers - Renders dual-track bilingual subtitles with independent offsets and sizing to prevent visual overlap.
  • Hardcoded Subtitle Extraction - Converts burned-in bitmap subtitles into editable text via local OCR extraction.
  • Timestamped Searchable Indices - Features a searchable sidebar that maps subtitles to a seekable timeline for rapid video navigation.
  • Transcript-to-Timestamp Mapping - Maps searchable subtitle text to specific playback timestamps for rapid video navigation.
  • Hardcoded Subtitle Extractors - Retrieves embedded text from video frames and converts it into standard subtitle files using OCR.
  • Transcription Tools - Provides utilities to convert spoken audio into timed text and export them as SRT files.
  • Optical Character Recognition - Uses optical character recognition to convert image-based bitmap subtitles into searchable and editable text.
  • Video Streaming - Integrates AI subtitle generation and word lookup tools directly into a web-based video streaming playback engine.

Star history

Star history chart for umlx5h/llplayerStar history chart for umlx5h/llplayer

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Projects sharing features with LLPlayer

These projects share indexed features with LLPlayer. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • solidspoon/dashplayersolidSpoon avatar

    solidSpoon/DashPlayer

    3,811View on GitHub↗

    DashPlayer is a language learning video player designed for vocabulary and grammar study. It integrates an AI subtitle generator to create machine-translated captions and grammatical sentence analysis for video content. The project features a bilingual subtitle renderer that displays dual-language captions with toggleable visibility. It includes a remote media downloader to fetch online video content via URL and a utility to split long files into smaller segments for more manageable study sessions. The playback system supports sentence-based navigation, allowing users to jump between subtitl

    TypeScriptappbo-fang-qienglish
    View on GitHub↗3,811
  • tmoroney/auto-substmoroney avatar

    tmoroney/auto-subs

    2,851View on GitHub↗

    Auto-subs is an AI transcription and automatic captioning tool that converts spoken audio from video files into synchronized subtitles. It functions as a subtitle generator and a transcription bridge, enabling the conversion of speech to text with automatic speaker identification and multi-language translation support. The software prioritizes data privacy by utilizing on-device AI inference to process audio and video files locally on the user's hardware. It distinguishes itself by offering deep integration with professional video editing workflows, allowing users to export timing and transcr

    TypeScriptaidavincidavinci-resolve
    View on GitHub↗2,851
  • yaofanguk/video-subtitle-extractorYaoFANGUK avatar

    YaoFANGUK/video-subtitle-extractor

    8,432View on GitHub↗

    This project is an optical character recognition tool designed to extract hardcoded subtitles from video frames and convert them into synchronized subtitle files. It functions as a text processor that transforms embedded visual text into a written format to improve video accessibility and translation. The system uses graphics processing units to increase the speed and accuracy of text recognition. It includes a subtitle cleaning tool that applies custom mapping configurations to filter out watermarks, channel logos, and duplicate lines from the extracted text. The tool supports batch process

    Pythondeep-learningextracthardsub
    View on GitHub↗8,432
  • agermanidis/autosubagermanidis avatar

    agermanidis/autosub

    4,197View on GitHub↗

    Autosub is a command-line media processor and automatic subtitle generator that converts audio streams from video and audio files into timed text overlays. It functions as an AI speech-to-text converter that uses OpenAI Whisper to generate synchronized subtitles. The tool includes a language translation pipeline to convert transcribed speech into target languages, enabling multilingual video captioning. It manages the process from audio-stream extraction to the serialization of final subtitle files for local storage. The system covers audio-to-text transcription, time-stamped text mapping, a

    Python
    View on GitHub↗4,197
Compare all 30 related projects→

Frequently asked questions

What does umlx5h/llplayer do?

LLPlayer is a language learning media player and AI subtitle generator that integrates large language models for real-time audio transcription and translation. It functions as an LLM-integrated video player and SRT transcription tool, utilizing local or remote AI models to generate text subtitles from audio and video streams.

What are the main features of umlx5h/llplayer?

The main features of umlx5h/llplayer are: Language Learning Video Players, Subtitle Translation, Conversational Flow Preservation, LLM Translation Integrations, Automated Video Subtitling, Concurrent Dual-Track Rendering, Automated Subtitle Generators, Language Learning Players.

Which projects share features with umlx5h/llplayer?

Projects with overlapping indexed features include: solidspoon/dashplayer — DashPlayer is a language learning video player designed for vocabulary and grammar study. It integrates an AI subtitle… tmoroney/auto-subs — Auto-subs is an AI transcription and automatic captioning tool that converts spoken audio from video files into… yaofanguk/video-subtitle-extractor — This project is an optical character recognition tool designed to extract hardcoded subtitles from video frames and… agermanidis/autosub — Autosub is a command-line media processor and automatic subtitle generator that converts audio streams from video and… buxuku/smartsub — SmartSub is a cross-platform desktop application for AI-driven video transcription and subtitle generation. It… tangshimin/mujing — MuJing is a contextual English vocabulary learner and interactive media player designed for language study. It…