Subtitle Generation

Subtitle generation automatically produces time-coded captions for video or audio — the on-screen text synced to spoken words, exported as SRT or VTT files. Under the hood it's speech-to-text (ASR) plus segmentation: a model like Whisper transcribes the audio, then the pipeline splits the transcript into short, readable lines and assigns start/end timestamps so each caption appears when the words are spoken. For SaaS builders, subtitles are a high-demand feature because they lift accessibility, watch time, and reach — most social video is watched muted. Products from video editors to meeting tools ship auto-captioning as a headline capability. Practical note: raw ASR output isn't broadcast-ready. You'll want to cap line length around 42 characters, limit each caption to one or two lines, and handle speaker labels and reading speed. Add optional translation to generate multilingual subtitles from one source. Accuracy drops with heavy accents, jargon, and overlapping speakers, so let users edit before export rather than trusting the transcript blindly.