A remote Model Context Protocol (MCP) server that retrieves Microsoft Teams meeting transcripts via the Microsoft Graph API, using delegated **OAuth 2.0 On-Behalf-Of (OBO)** authentication. Designed for integration with Microsoft Copilot Studio (via the MCP Wizard), though any MCP-compatible client can connect.

Copilot Studio botcomponent or conversation transcript analyser

Extended AI-in-One Dashboard with Copilot credit consumption, product feedback, and Copilot Studio transcript analytics

📽️ - Archive, and transcripts for Embark Studios.

Browser-based remote recording studio with live sessions, transcripts, clips, and captioned exports.

Multi-agent Copilot Studio solution for automated SOW and proposal generation from meeting transcripts

AI-powered content creation studio built with Tauri, React, and LangGraph. Transform video transcripts into engaging social media content.

Streamlit app that converts YouTube/audio into transcripts and AI-powered smart summaries using AssemblyAI and a local LM Studio model.

Speech to Text Studio is a browser-based app that records your voice, converts it to text using speech recognition, and generates AI-powered summaries with OpenAI, supporting multiple languages and offering transcript saving and editing capabilities.

Tech Stack Flow Frontend: React.js Backend: Node.js with Express.js Database: SQLite (to store user note history and preferences) AI API: Google AI Studio (Gemini) Step-by-Step Architecture Flow User Input: The user pastes the YouTube URL and selects the note format (bullet points, textbook, etc.) in the UI. Transcript Extraction: The backend

การใช้งาน git ร่วมกับ Visual studio IDE และ กรณึศึกษา การสร้างโปรแกรม My Transcript

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make a transcript by google ai studio

YouTube video processing pipeline for OpenClaw agents. Content Scout + Transcript Studio skills.

Lecture Studio converts your recorded lectures into clean transcripts and further put it into chatgpt for smart academic notes using local Whisper.

Chrome extension that summarizes the current webpage or YouTube video using a locally hosted LM Studio instance. Supports transcript-based YouTube summaries, parallel title/summary generation (LM Studio ≥ 0.4.0), selectable models, and persistent local settings.

A work-in-progress project that locally communicates with LM Studio to translate media using it's native transcript. This is also my testbed for learning rust.

A Python script to recursively summarize large text files (stories, documents, transcripts). Works with local LLM servers (LM Studio, Ollama, llama.cpp, etc.) using the OpenAI-style API.

A React.js frontend for the Video-RAG-Studio application. This interface allows users to upload videos, process them via the backend RAG system, view transcripts & summaries, and ask semantic queries.

Kinoflux Whisper Studio is a user-friendly desktop application that uses OpenAI's Whisper AI models to generate accurate transcripts and subtitles from audio files. Perfect for content creators, researchers, podcasters, and anyone needing quick audio-to-text conversion.

Ophaniel is a local-first voice note pipeline for macOS: transcribe .m4a recordings with Lightning Whisper MLX, generate title + summary via LM Studio’s OpenAI-compatible API, clean repetition, paragraphize transcripts, and write organized Markdown notes (plus linked audio) into an Obsidian vault.

A lightweight browser-based interface for LM Studio. Supports streaming chat, local web search, YouTube transcript extraction, PDF summarization, weather queries, news, and context management for natural responses. Built with Flask (Python) and JavaScript. LM-agnostic, optimized for consumer hardware, simple setup.

RAG-powered app featuring 300+ transcripts from Lenny's Podcast. Ask questions and watch ~300 product leaders from Stripe, Netflix, Airbnb discuss answers based on what they actually said. Multi-round discussions with semantic search, parent-child retrieval, and support for local (Ollama, LM Studio) or cloud LLMs.

This is a Multilingual AI Speech Transcription and Translation Web Application that converts live speech into text, detects the spoken language automatically, translates it into English, and saves transcript history. The application is powered by Google AI Studio (Gemini API) and supports multiple languages for real-time communication.

Open-source pipeline that captures your sent emails and Teams meeting transcripts, anonymises all personal data (names, emails, phones, bank details), and stores clean HTML files in a SharePoint knowledge base. Connect to a Copilot Studio agent and your team can query your expertise 24/7. Standard M365 connectors. No premium licence. 30 min setup.

This project was developed to revise auto-generated transcripts from Microsoft Stream. The workflow includes a two-step process using R and R Studio. The first script is designed to remove extra lines of distracting and unnecessary information. Then, after an individual inserts speaker codes, the second script re-organizes the transcript according to the speaker. This project was developed by Ms. Jessica Draper in collaboration with Dr. Katherine Christoffersen, Dr. Ryan Bessett and Dr. Ana Carvalho and made possible in part through funding from the National Endowment of the Humanities.