video-subtitle-cutter

To remove filler words and pauses from video speech, this tool transcribes the audio with Whisper, analyzes the transcript to identify nonessential segments, and generates FFmpeg commands to cut and re-encode the clean video.

Yes, you can generate synchronized SRT subtitles. After analyzing the transcript and cutting nonessential segments, the tool outputs a clean re-encoded video alongside an SRT subtitle file matched to the final audio.

Yes, you need Whisper for transcription and FFmpeg for re-encoding. The tool relies on Whisper to generate timestamps and text, then uses FFmpeg commands to execute the cuts and produce the final video file.

The best way to create highlight videos from long talks is automating transcription and cut analysis. This tool transcribes the audio, detects filler words and distractions, and outputs FFmpeg commands to produce a concise video.

Yes, automated video editing analyzes transcripts to determine optimal cut points. It identifies filler words, long pauses, and distractions, then generates the exact FFmpeg commands needed to remove those segments.