TurboScribe converts audio and video recordings to text using Whisper-based speech recognition. Files upload by drag and drop in common formats such as MP3, MP4, M4A, MOV and WAV, and transcripts come back in seconds with optional speaker labels. It supports more than 98 languages and can translate transcripts or subtitles into over 134 languages. Free accounts get three transcripts a day, and the Unlimited plan costs $10 a month billed yearly or $20 billed monthly.
Podcasters, journalists, researchers, students, consultants and small teams that regularly turn recorded speech into text are the intended users. Speaker recognition, which can label up to eight speakers, helps with interviews, meetings and group discussions, and the 10-hour upload limit covers long lectures and workshop recordings. People transcribing in a language other than English can have the audio transcribed directly to English. Heavy users with hundreds of hours of material can rely on unlimited minutes rather than counting usage.
Typical jobs include turning a podcast episode into show notes, converting a recorded interview into a quotable document, and producing captions for video. Transcripts export as DOCX, PDF or TXT, and subtitles export as SRT or VTT for editors and video platforms. Three transcription modes trade speed for accuracy: Cheetah is the fastest, Dolphin balances speed and accuracy, and Whale uses the large Whisper model for the most accurate output. A restore audio option can reduce background noise on poor recordings, and batch uploads of up to 50 files help when processing a backlog.
