transcript-processing

ResultOps is a robust, university-grade result processing platform built using Streamlit and Firebase Firestore. The application is designed to streamline transcript parsing, validation, storage, and analysis for academic institutions.

Talk to YouTube videos

AI-powered transcript processing tool that turns sales and support calls into structured summaries, action items, and Sheets-ready data 🤖

AI workflow automation from Teams transcripts and GitHub PRs to Jira issues.

Local-first transcript processing with explicit privacy and audit boundaries

Zero-cost local automation pipeline for Clara AI assignment: transcript-to-memo + Retell agent spec generation with n8n orchestration and dashboard QA.

PowerShell and Python automation for turning YouTube videos into structured research material, adapted across two real-world projects.

Copy transcripts from YouTube, podcasts, or Feishu, paste into Obsidian — timestamps vanish instantly. Covers 8 formats across English and Chinese: colon-based seconds, Chinese fen-miao markers, mid-paragraph stamps. Three-pass regex engine: line-start anchoring, global sweep, whitespace normalization. You do one thing: Ctrl+V.