Talk to YouTube videos
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.
AI workflow automation from Teams transcripts and GitHub PRs to Jira issues.
AI-powered transcript processing tool that turns sales and support calls into structured summaries, action items, and Sheets-ready data 🤖
Zero-cost local automation pipeline for Clara AI assignment: transcript-to-memo + Retell agent spec generation with n8n orchestration and dashboard QA.
Local-first transcript processing with explicit privacy and audit boundaries
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.
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