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Project & Studio

Built for speed, privacy, and precision.

Transcription Engine is a specialized web console designed to convert public video and audio URLs into clear, timecoded transcripts in seconds. We believe that media accessibility, research tools, and video content indexing should be instant, open, and free from intrusive signups or software installations.

Our Core Mission

Content creators, researchers, journalists, and students spend hours scrubbing through video timelines to find quotes or create captions. Transcription Engine bridges the gap by leveraging world-class open-source speech recognition and video processing tools directly from a clean, high-performance web console.

Technology Stack & Architecture

yt-dlp Engine

Handles robust URL resolution across 1,000+ public video hosts, direct caption stream extraction, and format parsing.

Whisper & faster-whisper

State-of-the-art automatic speech recognition (ASR) fallback when native platform captions are unavailable.

FFmpeg Processing

High-efficiency audio extraction, resampling, and subtitle formatting into standard TXT, SRT, and VTT output.

Next.js & React Server Components

Server-rendered static HTML architecture ensuring maximum speed, search engine accessibility, and zero-JS readability.

Commitment to Privacy & Openness

We believe privacy is a fundamental design principle. Processing jobs run in transient isolation. Extracted media and user session cookies are used solely to fulfill the active job request and are automatically purged from temporary job storage immediately upon completion.