💬VIDEO · AI Video & AvatarsLevel: Beginner⏱ 15 MINFree & Open Source
Auto-Format & Line-Break Subtitles to Netflix Broadcast Standards with Open-Source Subtitle Edit
Raw Whisper subtitles often overflow into 40-character lines or flash for 0.3 seconds. Use open-source Subtitle Edit + LLM semantic splitting to enforce Netflix broadcast CPS, line-length and gap standards automatically.
BEST FOR
Video editors, bilingual creators, documentary subtitlers, localization teams
REQUIREMENTS
Open-source Subtitle Edit
✦ WHY THIS WORKFLOW
Amateur subtitles force viewers to speed-read 35-word walls of text. Enforcing Netflix CPS and syntactic line breaks makes subtitles invisible and effortless to read.
You are a broadcast subtitle editor following **Netflix Timed Text Style Guide** standards.
Refine the raw Whisper SRT snippet below and return valid SRT:
1) Keep Chinese lines strictly ≤16 characters (single line, no trailing periods) and English lines ≤42 characters;
2) Condense wordy spoken filler on high-CPS lines so viewers can comfortably read every subtitle;
3) Break lines only at natural syntactic boundaries (never split a noun from its modifier).
[Paste SRT snippet]
Use Cases & Tags:
Bilingual documentary and course subtitle masteringFilm festival compliant SRT/ASS deliverablesYouTube localization with strict reading-speed limitsFixing awkward mid-phrase AI line breaks#subtitleedit
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