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Uploaded 33-minute Huberman Lab podcast recording

Searchable transcript with speaker identification and timecodes
[00:00:00 - 00:00:09] SPEAKER_00 (Andrew Huberman): "Welcome to Huberman Lab Essentials where we revisit past episodes for the most potent and actionable science-based tools for mental health, physical health, and performance." [00:00:11 - 00:00:46] SPEAKER_00 (Andrew Huberman): "I'm Andrew Huberman and I'm a professor of neurobiology and ophthalmology at Stanford School of Medicine." [00:00:48 - 00:01:15] SPEAKER_01 (Jocko Willink): "When you hit a wall, stop dwelling and start doing. Action is the fastest cure for any problem you are facing."
Auto Poster AI Video Transcriber delivers near-perfect speech-to-text conversion for uploaded webinars, video meetings, podcasts, and interviews. Powered by advanced neural speech models, it accurately handles technical vocabulary, background noise, and distinct speaker voices.
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Transcribe deposition and proceeding video recordings with reliable timestamps.
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Automatic timestamping and speaker diarization tags.
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Everything you need to know about AI Video Transcriber.
Accuracy routinely exceeds 98% for clear speech audio, powered by OpenAI Whisper models.
Yes! Automatic speaker diarization identifies Speaker 1, Speaker 2, and tags timestamps accordingly.
Yes! Export formatted SRT, VTT, or plain text transcripts ready for YouTube Studio.
Whisper AI is robust against background audio noise and international accents.
Yes. Files process in encrypted cloud servers and are never shared or used to train public AI models.
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