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Awesome GitHub RepositoriesTranscript-to-Timestamp Mapping

Maps searchable text segments in a transcript to specific playback offsets in a video.

Distinct from Timestamp-Based Offset Lookups: Links text indices to media time instead of database offsets to binary blobs.

Explore 8 awesome GitHub repositories matching data & databases · Transcript-to-Timestamp Mapping. Refine with filters or upvote what's useful.

Awesome Transcript-to-Timestamp Mapping GitHub Repositories

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  • insidegui/wwdcinsidegui 的头像

    insidegui/WWDC

    8,747在 GitHub 上查看↗

    WWDC is a native macOS video player and conference session manager designed for streaming and organizing developer conference videos. It functions as a video transcription browser and annotation tool, allowing users to track viewing progress and organize technical sessions into personalized learning paths. The application enables navigation through videos via searchable, multi-language text transcripts. Users can create searchable reference points by annotating specific video timestamps with custom notes and distribute content by sharing session links or extracting short video clips. The sys

    Links searchable text indices to specific video time offsets for instant navigation during playback.

    Swiftappledeveloper-experiencedeveloper-tools
    在 GitHub 上查看↗8,747
  • mli/autocutmli 的头像

    mli/autocut

    7,579在 GitHub 上查看↗

    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

    Generates precise video edit points by mapping text indices from a transcript to specific timecodes.

    Python
    在 GitHub 上查看↗7,579
  • ddddxxx/lyricsxddddxxx 的头像

    ddddxxx/LyricsX

    5,171在 GitHub 上查看↗

    LyricsX 是一款 macOS 应用,可在音乐播放期间在系统 UI 上渲染同步歌词。它作为桌面显示工具、外部歌词聚合器与同步实用程序运行。 该应用使用当前播放元数据从多个远程数据源获取歌词,并提供了一个脚本转换器,用于在繁体中文与简体中文之间转换文本。它还包含一个歌词文件管理器,用于通过拖拽交互导入与导出常见歌词格式。 该工具提供了时间同步能力,以匹配歌词时间戳与音频播放时钟。其他功能包括在桌面或菜单栏显示歌词的能力,以及自动应用生命周期管理,以保持与活动音乐播放器的同步。

    Adjusts the temporal offset of lyric lines to align precisely with the audio playback clock.

    Swiftapple-musicaudirvanadownload-lyrics
    在 GitHub 上查看↗5,171
  • tangshimin/mujingtangshimin 的头像

    tangshimin/MuJing

    4,238在 GitHub 上查看↗

    MuJing 是一款专为语言学习设计的上下文英语词汇学习器和交互式媒体播放器。它从视频和文档中提取单词,提供真实世界的示例和媒体片段以供记忆,是一个基于字幕的语言工具和基于词元(lemma)的单词列表生成器。 该系统通过将词汇列表链接到特定的视频时间戳和字幕,以实现听觉和视觉强化,从而脱颖而出。它包含一个带有双语字幕的视频播放器,以及基于键盘的转录和拼写练习,通过电影和电视语境建立肌肉记忆。 该项目涵盖了从文档、字幕和视频轨道中提取词汇,并结合词形还原、频率过滤和基于字典的排除来优化单词列表。它还管理多媒体学习资源,并流式传输与目标词汇相关的特定视频片段以强化记忆。

    Maps vocabulary terms to precise video playback offsets for immediate retrieval of audiovisual examples.

    Kotlinchinesecompose-desktopenglish-learning
    在 GitHub 上查看↗4,238
  • solidspoon/dashplayersolidSpoon 的头像

    solidSpoon/DashPlayer

    3,811在 GitHub 上查看↗

    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

    Enables jumping between subtitle lines and repeating phrases using keyboard and Bluetooth inputs.

    TypeScriptappbo-fang-qienglish
    在 GitHub 上查看↗3,811
  • umlx5h/llplayerumlx5h 的头像

    umlx5h/LLPlayer

    3,110在 GitHub 上查看↗

    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 subt

    Maps searchable subtitle text to specific playback timestamps for rapid video navigation.

    C#asrcsharpflyleaf
    在 GitHub 上查看↗3,110
  • tmoroney/auto-substmoroney 的头像

    tmoroney/auto-subs

    2,851在 GitHub 上查看↗

    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

    Binds specific words or phrases to precise time offsets to keep captions synchronized during edits.

    TypeScriptaidavincidavinci-resolve
    在 GitHub 上查看↗2,851
  • huangxd-/danmu_apihuangxd- 的头像

    huangxd-/danmu_api

    2,571在 GitHub 上查看↗

    danmu_api is a bullet chat API gateway that aggregates video comments from multiple platforms and serves them through a standardized interface for use in media players. It includes a metadata matching service to identify video content across platforms using keywords or file names. The system uses an adapter-based normalization process to translate diverse platform response formats into a single schema and utilizes a Redis-backed cache to store search results and comment streams. It features a processing engine that cleans comment streams using keyword and regular expression filters. The proj

    Adjusts comment delivery timing using linear scaling and manual offsets to align text with video playback.

    JavaScriptanimeapidandanplay
    在 GitHub 上查看↗2,571
  1. Home
  2. Data & Databases
  3. Pointer-Based Navigation
  4. Offset-Based Addressing
  5. Timestamp-Based Offset Lookups
  6. Transcript-to-Timestamp Mapping

探索子标签

  • Playback Timing SynchronizationMechanisms for adjusting the temporal offset of overlay content to align with video playback. **Distinct from Transcript-to-Timestamp Mapping:** Distinct from Transcript-to-Timestamp Mapping: focuses on adjusting the actual delivery timing via scaling and offsets rather than mapping text to time.
  • Subtitle-Based SeekingNavigation logic that jumps playback to specific timestamps associated with subtitle lines. **Distinct from Transcript-to-Timestamp Mapping:** Specifically handles seeking to the start of sentences/subtitles rather than generic transcript-to-time mapping.