College lecture transcription tool that runs in your browser. AI speech recognition with timestamps and multi-format export.
Manual translation, hired voice actors, days of waiting. Creators and teams lose time and money on every single video.
Skip the old workflowTyping out hours of recordings by hand?
Missing key points because you cannot skim audio?
Paying per-minute for transcription services?
Getting messy transcripts without timestamps?
Upload, pick languages, and let the AI handle the rest. No software to install.
A few clicks, that is all.
A few clicks, that is all.
A few clicks, that is all.
A few clicks, that is all.
I record every lecture on my phone now. Last semester I tried typing notes during a 90-minute political science class and missed half of what the professor said about constitutional frameworks. Now I upload the audio after class, get a clean TXT file in about four minutes, and import it into Notion where I highlight the key arguments. The SRT option is clutch for my study group—I sync transcripts with the recordings so my friends can jump to specific timestamps when we're cramming at 2 AM. I don't pay anything for the basic plan, which handles my three weekly lectures fine.
Including English, Chinese, Japanese, Korean, Spanish and more.
Every sentence carries its timecode for easy navigation.
Free, unlimited, and your audio never leaves your computer.
Export plain text or subtitle files with one click.
Hour-long recordings are split and processed automatically.
Local mode means no upload, no retention, no risk.
My statistics professor speaks at warp speed with a thick Glasgow accent. The tool still catches about 95% of his lectures. I clean up the remaining 5% in two minutes before saving.
VTT output gives me precise timestamps. I paste these into my Anki flashcards so clicking a timecode jumps straight to that moment in my recording.
I label files by lecturer name before uploading. The transcript keeps speakers separated, so I know whether the TA or professor covered each topic for my final review.
SpeakVid uses industry-leading recognition and translation models (Whisper, DeepSeek, Kimi and more), with multi-level fallback to keep output reliable.
Most tasks finish in minutes. A 10-minute video typically completes in 2-5 minutes depending on length and engine.