Awesome GitHub RepositoriesVideo Transcript Analysis

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

该项目是一个预配置的 n8n 工作流模板和结构蓝图库，专为自动化业务流程和 AI 任务而设计。它提供了一系列 JSON 文件，可以导入到工作流引擎中以部署自动化序列，包括用于集成向量数据库和大型语言模型的专门配置。 该集合专注于上下文感知 AI 代理的开发，利用内存缓冲区和检索系统来创建智能数据生成和检索管线。它包括用于检索增强生成和通过向量存储集成进行语义搜索的专用蓝图。 这些模板涵盖了广泛的功能领域，包括 AI 驱动的数据分析、用于媒体和社交媒体管理的内容管线，以及针对法律、医疗保健、房地产和电子商务等行业的特定行业自动化。它还提供用于财务任务自动化、人力资源招聘解析和基础设施监控的实用工作流。

FunClip is an open-source tool that transcribes speech from video files and clips segments based on text, speaker, or AI analysis. It combines speech recognition with speaker diarization, audio event detection, and visual content understanding to identify and extract relevant portions of a video. The tool distinguishes itself through several integrated capabilities. It supports hotword-weighted speech recognition, which improves transcription accuracy for specific terms like names or jargon by boosting their probability during decoding. A large language model can interpret the transcribed tex

Vibe-tools is a command-line interface that provides a unified way to query multiple AI models, analyze codebases, plan and execute complex tasks, search the web, and analyze YouTube videos. It combines several distinct tools into a single CLI: a multi-model AI query tool, an AI codebase analyzer, a task automation CLI, a web-enabled AI assistant, and a YouTube video analysis CLI. The tool can send prompts to any supported AI model, retrieve documentation from configured sources, and generate implementation plans by analyzing codebase files with multiple AI models. It differentiates through i

Tubular is a browser extension designed to enhance the YouTube video playback experience. It functions by restoring missing metadata and automating the removal of unwanted content from videos. The project integrates a sponsor blocker that automatically skips sponsored segments using a crowdsourced database of timestamps. Additionally, it includes a dislike restorer that retrieves and displays original dislike counts via third-party data archives.