For large libraries, use computer vision to auto-tag content:
Using CLIP (OpenAI) or ImageBind:
Tools:
Generate an RSS feed automatically for subscribers:
<?php
// scan directory for files modified in last 7 days
// output XML feed with enclosure (video/mp4)
?>
Use a lightweight script (Python/Flask or PHP) to index and search. index of 1080p mp4 files hot
Sample SQLite schema:
CREATE TABLE videos (
id INTEGER PRIMARY KEY,
filename TEXT,
category TEXT,
creator TEXT,
duration_sec INTEGER,
date_added TIMESTAMP,
tags TEXT,
file_path TEXT
);
Indexing script (Python):
import os, sqlite3, ffmpeg
conn = sqlite3.connect('lifestyle_index.db')
c = conn.cursor()
for root, dirs, files in os.walk("/videos/lifestyle"):
for f in files:
if f.endswith(".mp4"):
probe = ffmpeg.probe(os.path.join(root, f))
stream = next(s for s in probe['streams'] if s['codec_type'] == 'video')
if stream['width'] == 1920 and stream['height'] == 1080:
c.execute("INSERT INTO videos VALUES (?,?,?,?,?,?,?)", ...)
conn.commit()
A 20-minute 1080p MP4 is usually 1.5GB to 3GB. If a movie is listed as 800MB, it is likely over-compressed.