Open-source alternatives to LLPlayer

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

SmartSub is a cross-platform desktop application for AI-driven video transcription and subtitle generation. It converts audio and video files into text subtitles using local AI models and incorporates hardware acceleration to increase processing speed. The tool features a subtitle translator that leverages large language models, such as OpenAI and DeepSeek, to convert subtitles between different languages. It includes a visual editor for proofreading and polishing transcribed text, paired with a video preview for frame-accurate synchronization. The software supports batch processing of multi

MuJing is a contextual English vocabulary learner and interactive media player designed for language study. It extracts words from videos and documents to provide real-world examples and media clips for memorization, functioning as a subtitle-based language tool and a lemma-based word list generator. The system differentiates itself by linking vocabulary lists to specific video timestamps and subtitles for auditory and visual reinforcement. It includes a video player with bilingual subtitles and keyboard-based transcription and spelling exercises to build muscle memory through movie and telev

NarratoAI is an automated video production pipeline that uses large language models to generate scripts, voiceovers, and edited video commentary. It functions as a combined scriptwriter, voiceover generator, and video editor to streamline the creation of movie and television commentary content. The system automates the production workflow by converting input data into structured narrative scripts, synthesizing artificial speech for narration, and programmatically assembling video clips based on script timestamps. It also converts spoken audio from video files into written text for subtitles a

VideoLingo is an automated video localization suite designed to transcribe, translate, and dub video content. It functions as a translation pipeline that utilizes large language models to convert spoken audio into precise text segments and translate them into multiple languages. The system differentiates itself through a multi-step translation refinement process and a specialized natural language processing utility that segments text into single-line captions meeting broadcast standards. It also integrates synthetic voiceover generation to replace or augment original audio tracks. The projec

Voice Pro is a comprehensive speech and audio processing toolkit that combines text-to-speech synthesis, voice cloning, speech recognition, and translation capabilities into a single application. At its core, the project enables users to generate natural-sounding speech from text, clone voices from short audio samples without requiring prior training data, and perform real-time speech translation across over 100 languages. The platform distinguishes itself through its integrated multimedia workflow, allowing users to download YouTube videos, extract audio, separate voice tracks, generate word

This is a Windows application for automatic speech recognition that transcribes spoken audio from video files into timestamped SRT subtitle files. It serves as a subtitle generator and translation tool that converts media speech into synchronized text. The software functions as a batch media transcriber, allowing the simultaneous processing of multiple audio and video files to generate subtitles in bulk. It includes a translation workflow to convert transcriptions between different languages for the creation of bilingual or localized files. The system also provides text refinement capabiliti

This project provides an English dictionary REST API and a corresponding web browser extension. It serves as a programmatic interface for retrieving linguistic data, including word definitions, phonetic transcriptions, parts of speech, and synonyms via HTTP requests. The browser extension implements in-browser word lookup by injecting content scripts that listen for double-click events. When a user selects text, the tool renders a DOM-based overlay to display the word's meaning in a pop-up bubble at the cursor position. The system utilizes asynchronous network fetching and external API proxy

Pipecat is a framework and software development kit for building real-time multimodal AI agents and speech-to-speech systems. It utilizes a frame-based data pipeline to route audio, video, and text through a modular sequence of processors, enabling the orchestration of low-latency conversational AI. The project is distinguished by its ability to coordinate complex multimodal services, including speech-to-text, language models, and text-to-speech, within a single pipeline. It features semantic voice activity detection for natural turn-taking, state-machine conversation flows for dialogue manag

BigBlueButton is an open-source virtual classroom software and meeting server designed for hosting real-time online teaching sessions. It functions as a WebRTC video conferencing platform and collaboration suite, providing a self-hosted environment for virtual classroom management and online course administration. The system distinguishes itself through specialized educational tools, including an interactive quiz engine, breakout room coordination, and live polling. It provides a comprehensive suite of collaborative assets such as a shared infinite whiteboard, real-time co-authored notes, and

VideoCaptioner is an automated tool designed to generate and embed time-synchronized subtitles into video files. By leveraging speech recognition models, the software converts spoken audio into text and calculates precise timestamps to ensure captions align with the original media. The project operates as a local-first inference pipeline, performing all transcription tasks on the host machine to maintain data privacy. It utilizes a transformer-based neural network for speech recognition and integrates a multimedia framework to handle the technical aspects of video processing and subtitle stre

Nextplayer is a cross-platform mobile media player designed for playing audio and video from local storage and remote URLs. It functions as a playback engine that supports various codecs and containers through software-based media decoding. The application features a floating picture-in-picture window for multitasking and an external subtitle renderer that synchronizes and displays SRT, SSA, and VTT files as on-screen overlays. It includes a touch-based interface that maps specific swipe and pinch gestures to volume, brightness, and seeking controls. The project covers multi-source media str

Vosk is an offline speech-to-text engine and API that converts spoken audio into text locally on a device. It provides a cross-platform speech toolkit with language bindings for integrating voice recognition into server environments, Android, iOS, and Raspberry Pi. The project includes a speaker identification tool to distinguish between different voices and an acoustic model trainer for building custom neural network models. These training tools enable speech feature extraction and model accuracy evaluation to improve recognition for specialized domains. The system supports real-time audio

Jellyfin Web is the browser-based frontend for the Jellyfin media server, providing the user interface for browsing, playing, and administering a self-hosted media collection. It functions as a cross-platform media client that works across desktop and mobile browsers, offering a dashboard for server configuration, user management, and plugin administration. The web client serves as the primary interface for organizing and streaming personal media libraries, including movies, TV shows, music, and photos. The web interface supports a range of media management capabilities, including library org

Autocut is a text-based video editor and automatic speech recognition tool. It allows users to cut and merge video clips by modifying a text transcript instead of using a traditional timeline. The system operates as an FFmpeg video processor and subtitle manipulation utility. It converts spoken audio into text and compacts subtitle files into simplified formats, enabling the removal of unwanted video segments by deleting corresponding sentences from a transcription file. The project covers automated video transcription, non-linear video cutting, and subtitle file management. It supports hard

youtube-transcript-api is a Python library designed to retrieve and download subtitles and captions from YouTube videos using video IDs. It functions as an API client that extracts text and timing data for video content. The project includes a wrapper for automated translation, allowing transcripts to be converted into different target languages. It also features a retrieval system that supports routing requests through HTTP, HTTPS, or SOCKS proxies to avoid IP blocking and regional restrictions. The library provides tools for identifying available subtitle tracks and converting raw transcri

This project is an Android TV media client and digital media player designed to stream movies, music, and live television from a Jellyfin media server. It provides a lean-back entertainment interface optimized for navigating organized media libraries using a remote control. The application allows for the remote synchronization of playback across multiple devices to create shared viewing experiences. Users can also customize the visual and auditory presentation of the interface through the management of visual themes. The client supports streaming video and audio content, viewing photo galler

jellyfin-android is an Android media server client used to stream movies, television shows, and music from a remote server to mobile devices. It functions as a cross-platform media player that supports direct streaming, remote transcoding for incompatible formats, and the integration of external subtitles. The application serves as a Chromecast media controller, allowing users to cast server-hosted content to compatible televisions and speakers. It also acts as a digital library viewer for browsing photo collections and reading ebooks, comics, and magazines stored on a remote server. Beyond

This project is a Python web scraping tutorial and framework designed for building automated data extraction tools and web crawlers. It provides a structured approach to navigating websites and persisting scraped data to databases. The project includes a toolset for web API analysis, focusing on reverse engineering obfuscated API requests and inspecting network traffic to extract structured data. It also covers optical character recognition workflows to convert visual text within images into machine-readable strings. The framework covers capabilities for headless browser automation to handle

AiNiee is an LLM-based localization tool that automates the translation of games, books, subtitles, and documents across multiple languages. It operates as a batch processing engine, translating entire folders of files in parallel while preserving directory structure, and includes a glossary management system that enforces terminology consistency using AI-powered glossaries, forbidden terms, and user-defined text substitution rules. The tool differentiates itself through key architectural decisions: it distributes translation requests across multiple API keys to bypass rate limits and acceler

Bilive is a multimodal AI video pipeline and live stream recording tool designed to capture real-time broadcasts and automate the creation of highlight clips. It functions as a multi-platform stream orchestrator capable of distributing looped pre-recorded content and managing the automated upload of processed video clips to various destinations. The system distinguishes itself through AI-driven content generation, using comment density to detect high-energy segments and multimodal models to automatically produce descriptive titles and synchronized subtitles. It further utilizes image-to-image

This project is an LLM translation plugin and extension for the Bob translation tool. It connects the application to external large language models via API to provide real-time text translation, automated grammar correction, and content polishing. The plugin functions as an AI prompt engineering tool, allowing for the definition of custom system instructions and templates to control the style, tone, and reasoning depth of the output. It operates as a streamed API client that processes incremental text responses to display translation results in real time. Its capabilities cover translation b

This project is a comprehensive study kit and resource archive for the Structure and Interpretation of Computer Programs (SICP) course. It serves as a curated learning path for studying functional programming and the fundamentals of program construction, providing a centralized directory of textbooks, tutorials, and instructional materials. A primary focus of the repository is multilingual accessibility, specifically providing Chinese translations of English lecture subtitles and transcripts. These translated resources are mirrored across multiple video hosting platforms and cloud storage pro

SakuraLLM is a multi-format document translation system that hosts large language models for translating Japanese text into other languages. It functions as an inference server that exposes translation models through an OpenAI-compatible API, allowing any tool supporting the OpenAI client format to send translation requests. The system is designed as a glossary-aware translation engine that applies user-defined term dictionaries to ensure consistent translation of proper nouns and names across outputs. The project distinguishes itself by supporting multiple high-performance inference backends

This project is an AI video post-production suite that uses large language models and programmatic tools to automate editing, transcription, and subtitle generation. It functions as an AI editing agent that translates natural language instructions into shell commands, providing a programmatic interface for manipulating media via FFmpeg. The toolkit includes a motion graphics engine that generates technical animations and visual overlays through code-driven rendering and mathematical definitions. It distinguishes itself by combining an AI-powered transcriber for word-level timestamps with an a

BabelDOC is a technical document translation system designed to translate PDF files while preserving their original layout and styling. It functions as a layout-preserving translator that utilizes large language models to convert content into target languages, specifically tailored for scientific and technical documents. The system distinguishes itself through specialized handling of academic content, including the identification and preservation of mathematical formulas and complex layout structures. It ensures technical accuracy by employing glossary-driven terminology enforcement, using so

CopyTranslator is a clipboard-based translation tool and multi-engine translation client that monitors the system clipboard to provide automatic language conversion. It functions as an assistant that integrates large language models, cloud translation APIs, and digital dictionaries to produce context-aware translations and side-by-side reading views. The application includes a specialized PDF text cleaner to remove formatting artifacts and line breaks from copied content. It also features an optical character recognition extractor to convert images or screen captures into editable text for im