Analyzing video dialogue, studying film screenplays, and transcribing video footage often begins with subtitle files (SRT or WebVTT). However, raw subtitle files are cluttered with sequence numbers, timestamp arrows (`00:01:23,456 --> 00:01:25,789`), and WebVTT styling tags that obstruct reading. This tool strips timecode metadata and compiles dialogue into a clean, numbered study script exported as a formatted PDF directly in your browser.

### Dialogue Extraction & PDF Compilation The converter parses subtitle text streams through an in-browser cleaning pipeline: - **Timestamp & Sequence Stripping**: Identifies and removes subtitle sequence numbers (`1`, `2`, `3`), timecode range arrows (`-->`), and header tags (`WEBVTT`, `NOTE`). - **Whitespace & Dialogue Normalization**: Collapses broken multi-line subtitle blocks into coherent dialogue sentences. - **Browser-Side PDF Generation**: Uses client-side `pdf-lib` to dynamically lay out standard US Letter (612×792 pt) pages complete with title headers, line numbering, and clean margins. - **Instant Client Download**: Compiles binary PDF bytes into a local object URL for immediate one-click downloading without server queues.

### Worked Subtitle Conversion Example Paste a raw SRT snippet: ```text 1 00:00:04,120 --> 00:00:06,850 Welcome back to our laboratory briefing.

2 00:00:07,100 --> 00:00:09,900 Today we are examining high-temperature superconductors. ``` The parser strips the timecode blocks and extracts: - Line 1: `Welcome back to our laboratory briefing.` - Line 2: `Today we are examining high-temperature superconductors.` The tool then formats these lines into a numbered study script and compiles a clean, printable PDF document.

### Private In-Browser Document Processing All text regex filtering, string manipulation, and PDF binary compilation execute 100% inside your local web browser. Your private transcripts, film subtitles, and video dialogues are never transmitted to external servers.