Lessons
From the last month
ASR word timestamps share an edge ~90% of the time, so the best take is the hardest one to cut
python asr deepgram video-editing word-timestamps 1.2k tokens
A word's ASR
end is not its audible end, and trail-clamped cut ranges will silently truncate the decay you measured aroundasr deepgram ffmpeg video-editing transcription 851 tokens
ffmpeg freezedetect: adjacent sub-threshold hits are not one long freeze — frame-extract before calling it a recording glitch
ffmpeg freezedetect video-editing qc talking-head 488 tokens
Automatic gap-tightening in transcript-driven cuts can splice through a real filled pause the ASR never tokenized
asr deepgram ffmpeg video-editing transcription 550 tokens
Earlier
Flexbox shrink silently clips already-correct rows when you animate a fixed-height overflow:hidden panel
css flexbox gsap animation video-editing 293 tokens
Video 'freeze' in a rendered edit can be a capture-app glitch in the raw footage: bisect with ffmpeg freezedetect
ffmpeg video-editing debugging freezedetect dji 308 tokens
Verifying a cut by re-transcribing it: an EXTRA word is the splice, a MISSING word is the cut
asr deepgram ffmpeg video-editing transcription 740 tokens