Welcome to Colorful & Concise, a beautifully crafted and highly optimized configuration suite for AIOStreams and Nuvio.
Tired of cluttered stream lists, messy torrent names, and redundant quality badges? This setup completely overhauls your UI to give you a clean, readable, and visually stunning streaming experience.
The Nuvio badge configuration is powered by a custom-built, bulletproof Regex engine designed to be 100% crash-proof and extremely fast.
- Airtight Hierarchy (No Double Badges): If a superior format is detected, lower-tier formats are instantly suppressed to save screen space.
- Example: If a file is 4K, the 1080p badge hides. If a file has TrueHD, the DD+ badge hides.
- Bulletproof Boundaries: Captures tags flawlessly whether the ripper used spaces, dots, underscores, or brackets (e.g.,
[1080p],.HEVC.,_DTS-HD_). - Sticky Audio Tags: Perfectly parses audio codecs that are directly attached to their channel numbers (e.g.,
DDP5.1,AAC2.0). - Aesthetic Polish: Custom-designed image badges and official brand hex colors for streaming platforms (Netflix Red, Prime Blue, Max Purple, etc.).
Transforms raw, ugly torrent names into a neat, easily scannable format.
- Emoji Integration: Uses intuitive emojis to quickly identify video quality, audio codecs, file size, and release groups.
- Clean Layout: Organizes stream data into logical lines so you can compare bitrates, sizes, and seeders at a glance.
- Concise Naming: Strips away unnecessary junk data from the release titles.
- Open your Nuvio Dashboard.
- Navigate to Settings > Badges.
- Look for the Import/Export section.
- Paste the raw URL of the
badge.jsonfile to import it:https://raw.githubusercontent.com/danielsdian/ColorfulAndConcise/main/Sterzeck_badge.json - Click Import and save your changes.
- Open your AIOStreams Configuration page.
- Navigate to the Formatter section.
- Choose the option to import a custom formatter configuration.
- Paste the raw URL of the
formatter.jsonfile:https://raw.githubusercontent.com/danielsdian/ColorfulAndConcise/main/formatter.json - Apply the formatter and sync your add-on.
The badge.json file utilizes highly optimized Negative Lookbehind logic (e.g., (?<![a-z0-9]) and (?<![\s\S])). By replacing traditional, heavy start-of-string lookaheads and explicit character class boundaries, this configuration prevents infinite backtracking and massively improves parsing performance. It scans efficiently across multi-line text blocks, ensuring lightning-fast word boundary detection and guaranteeing 100% tag detection with zero false positives.
Feel free to open an issue or submit a pull request if you find a rare edge-case filename that isn't being caught, or if a new major codec is released that needs a badge!