Upload the MP3
Choose or drop one MP3 recording up to 500 MB into the real ViiTor transcription tool.
Turn MP3 audio into accurate, editable text with AI transcription.
MP3 is the format people most often use for podcasts, interviews, voice memos, and exported meeting recordings. ViiTor uploads the original MP3, transcribes its spoken content, and keeps the result connected to timestamps for review and editing.
Choose or drop one MP3 recording up to 500 MB into the real ViiTor transcription tool.
Select the language in the recording and optionally enable speaker identification for conversations.
Review the timestamped result in the workspace, correct wording, and export TXT or SRT.
Create searchable show notes, quotations, and subtitle drafts from published or raw podcast audio.
Turn long-form interview recordings into text that researchers and editors can scan quickly.
Recover ideas and action items from compact phone recordings saved as MP3.
Produce editable study notes from spoken lessons without replaying the entire file.
Upload recordings up to 500 MB and continue working from the task dashboard.
Separate interviewers, guests, or meeting participants when speaker identification is enabled.
Jump between audio and transcript segments while correcting names, terminology, or punctuation.
Choose the spoken language before transcription, identify multiple speakers when needed, then review the timestamped transcript in the ViiTor workspace.
Upload the MP3, choose the language spoken in the recording, start transcription, and review the result in the ViiTor workspace.
Yes. Enable speaker identification before starting and select the expected number of speakers.
Completed transcripts can be exported as TXT for documents or SRT for subtitle workflows.
No. This tool transcribes speech in the selected source language; it does not currently translate the transcript into another language.
Choose a transcription tool for your file format or the language spoken in your recording.
Upload a file and continue in the ViiTor transcription workspace.
Use the transcription tool