mkt-ai-video-extract-srt-segment

You can convert MP3 voiceovers into timestamped SRT subtitles by running local OpenAI Whisper transcription, which processes the audio file to generate validated SRT files along with word-level timing data.

Yes, generating word-level transcription segments is supported. The transcription outputs a segments JSON file containing precise word timing data required for caption animation and SFX placement in video editing.

The best way to transcribe a Vietnamese voiceover for short-video production is using local Whisper transcription with language selection, which produces segment timing data and SRT subtitles needed for downstream editing.

Yes, local Whisper is required to extract SRT files from voice recordings. The transcription process depends on local Whisper configuration, including language selection and model setup, to generate accurate subtitle outputs.

Timestamp preservation in SRT subtitle generation works by capturing segment and word-level timing data during the Whisper transcription process, ensuring the resulting SRT and JSON files contain accurate timing metadata for video editing tasks.