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If your goal is to create content around lifestyle and entertainment, here are some ideas:

| Environment | Steps | |-------------|-------| | Standalone script | Save the file as video_title_parser.py next to your code and import VideoTitleParser. | | Web service (FastAPI/Flask) | Wrap VideoTitleParser.parse() in an endpoint that receives a raw title string and returns ParsedTitle.to_json(). | | Database ingestion | When you pull a new video record, run the parser once and store the returned fields in dedicated columns for fast filtering. | | Command‑line utility | Add a tiny if __name__ == "__main__": block that reads stdin or a file and prints the display title – handy for quick audits. | If your goal is to create content around

The parser does not download or stream any media; it only works on the text you provide.
If you use it on titles that may contain adult‑oriented or otherwise sensitive keywords, the parser will treat those words like any other token (e.g., they may appear in the genres list). You can safely filter or mask unwanted categories by extending GENRE_SET or by post‑processing the ParsedTitle object. The parser does not download or stream any

| Use‑case | Value | |----------|-------| | Content‑Management Systems | Auto‑populate Year, Resolution, Region and Genre columns, reducing manual entry errors. | | Search & Discovery | Users can type “1080p lifestyle 2018” and instantly hit the correct assets because the data is normalised. | | SEO & Social Sharing | The display_title() method yields a tidy headline that looks professional on meta‑tags and share cards. | | Analytics | Quickly generate reports like “How many 1080p lifestyle videos were added in 2023?” without crawling raw titles. | Region and Genre columns