5 dépôts
Tools for processing spoken dialogue from videos into searchable text for analysis.
Distinct from Video: Focuses on the text-based analysis of dialogue rather than visual video processing or repurposed content
Explore 5 awesome GitHub repositories matching graphics & multimedia · Video Transcript Analysis. Refine with filters or upvote what's useful.
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
Converts spoken video dialogue into searchable text for research, indexing, and content analysis.
Ce projet est une bibliothèque de modèles de workflow n8n pré-configurés et de blueprints structurels conçus pour automatiser les processus métier et les tâches d'IA. Elle fournit une collection de fichiers JSON qui peuvent être importés dans un moteur de workflow pour déployer des séquences d'automatisation, incluant des configurations spécialisées pour intégrer des bases de données vectorielles et des grands modèles de langage. La collection se concentre sur le développement d'agents IA conscients du contexte, utilisant des tampons de mémoire et des systèmes de récupération pour créer des pipelines intelligents de génération et de récupération de données. Elle inclut des blueprints dédiés pour la génération augmentée par récupération (RAG) et la recherche sémantique via des intégrations de magasins vectoriels. Les modèles couvrent un large éventail de domaines de capacité, incluant l'analyse de données pilotée par l'IA, les pipelines de contenu pour la gestion des médias et des réseaux sociaux, et l'automatisation spécifique à l'industrie pour des secteurs tels que le juridique, la santé, l'immobilier et l'e-commerce. Elle fournit également des workflows utilitaires pour l'automatisation des tâches financières, l'analyse de recrutement RH et la surveillance d'infrastructure.
Ships workflows that transform video transcripts into structured blog articles using language models.
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
Uses a large language model to interpret transcribed text and select relevant video segments based on natural language prompts.
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
Generates summaries, transcripts, and analyses of YouTube videos using AI with native video understanding.
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.
Restores original dislike counts for YouTube videos using third-party archives.