Transcribe interview recording to text — 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 recorded a 47-minute interview with a game developer last Tuesday, hunched over my laptop in a noisy coffee shop near Shoreditch. Got home, plugged in my mic, and realized I had zero patience for typing out every 'um' and backtrack. I needed to transcribe interview recording to text fast—something that wouldn't choke on his Scottish accent or mix up 'Unity' and 'unitee.' Uploaded the WAV, grabbed coffee, came back to a clean TXT file plus SRT captions I could drop straight into Premiere. The free tier handled the whole thing. Now my assistant editor actually has weekends back.
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.
Yeah, it tags each speaker separately even when you both jump in mid-sentence. I tested this with a three-person podcast roundtable where we constantly interrupted—output came back labeled Speaker 1, Speaker 2, Speaker 3 with no manual cleanup needed.
Recorded my last two interviews at Gatwick and a roastery in Brooklyn. The transcript was clean enough to quote directly, though I did bump to the higher quality export setting for the airport one. SRT timing stayed accurate regardless.
Absolutely. I download TXT for my blog write-up, SRT for YouTube uploads, and VTT when the editor wants web-native captions. One upload, three formats, no re-processing. Saves me about twenty minutes per episode.
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.