Precise Minute-Stamped YouTube Transcripts
Budget / Salary$250–750
TypeFreelance project
LocationRemote
Posted1 hour ago
I need verbatim transcripts for three public YouTube recordings:
1. https://www.youtube.com/live/5DbKWNlZqv0 – roughly 60 minutes
2. https://www.youtube.com/watch?v=8YDQ3W_fDfs – about 90-120 minutes
3. https://www.youtube.com/watch?v=13_HRKvBs1Q – about 90-120 minutes
Every spoken word—including repetitions, pauses, and filler words—must appear exactly as heard. Please place a timestamp (MM:SS) at the one-minute mark throughout, in plain text. No speaker labels or cleanup; just the raw dialogue with those regular markers.
Deliverables
• Three separate .txt files, each titled after the video ID, containing the full verbatim transcript with 00:00, 01:00, 02:00 … timestamps.
I’ll spot-check accuracy against the video audio, so aim for near-perfect capture. Automated tools such as YouTube auto-caption, Otter.ai, or Whisper are fine as long as you manually proof and correct them. Let me know your expected turnaround for each file and any questions before starting.
I need this ASAP.
1. https://www.youtube.com/live/5DbKWNlZqv0 – roughly 60 minutes
2. https://www.youtube.com/watch?v=8YDQ3W_fDfs – about 90-120 minutes
3. https://www.youtube.com/watch?v=13_HRKvBs1Q – about 90-120 minutes
Every spoken word—including repetitions, pauses, and filler words—must appear exactly as heard. Please place a timestamp (MM:SS) at the one-minute mark throughout, in plain text. No speaker labels or cleanup; just the raw dialogue with those regular markers.
Deliverables
• Three separate .txt files, each titled after the video ID, containing the full verbatim transcript with 00:00, 01:00, 02:00 … timestamps.
I’ll spot-check accuracy against the video audio, so aim for near-perfect capture. Automated tools such as YouTube auto-caption, Otter.ai, or Whisper are fine as long as you manually proof and correct them. Let me know your expected turnaround for each file and any questions before starting.
I need this ASAP.
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