Transcribe Korean meeting to SRT — AI speech recognition with timestamps and multi-format export. Fast, accurate and private, with a free tier.
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 run a small YouTube channel covering K-pop industry analysis, and last month I finally got a 45-minute interview with a Seoul-based producer. The problem? My Korean is conversational at best, and I needed precise timestamps for every quote I planned to subtitle. I recorded the whole Zoom call, uploaded the audio, and got back a clean SRT file in about eight minutes. I spent the next hour tweaking speaker labels and adding English translations beneath each line—way faster than my old method of pausing every three seconds to type what I heard. The video went live with proper Korean captions plus English subs, and my Korean viewers actually commented that the transcription caught Seoul dialect nuances I would've missed entirely.
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.
It handles the rapid back-and-forth well. I tested it with a 30-minute call where three Seoul startup founders kept interrupting each other. The timestamps stayed aligned, and I only had to fix three proper nouns.
Yes, I usually download the SRT for my editing software and grab the TXT version to paste into my notes. Same upload, two outputs, no extra processing time.
It separates speakers in the output, though I relabel them from Speaker 1/2 to actual names for clarity. Takes maybe two minutes for a 40-minute meeting.
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.