Transcribe Interview Recordings with Automatic Speaker Labels
Upload any interview recording. Musely transcribes it with Seed-ASR 2.0, labels each speaker, and formats the output for research, journalism, HR, or podcasting in 51 languages.
Musely Transcribe Interview is an AI transcription tool that converts interview recordings into formatted, speaker-labeled transcripts. Powered by Seed-ASR 2.0, it processes 51 languages at 96.8% accuracy and handles recordings up to 4 hours with automatic Interviewer and Interviewee diarization. Choose from 4 profession-specific presets — Research Interview, Journalism, HR, and Podcast — each tuned for a different formal context. Pick from 3 transcript styles (Verbatim, Clean, or Polished), set timestamp frequency to every speaker turn or every 30 seconds, and export as Markdown, DOCX, or plain text.
Under the Hood
🤖ASR Engine
Interview Output
Transcribe Interviews in 3 Steps
Upload Your Interview Recording
Drag and drop your audio or video file into Musely. Accepts MP3, WAV, M4A, MP4, MOV, WebM, and 10 other formats up to 4 hours per recording. Select the spoken language from 51 options for the highest accuracy.
Choose an Interview Preset and Style
Pick a profession-specific preset: Research Interview adds line numbers for qualitative coding, Journalism tags notable quotes, HR organizes Q1/Q2 question-answer pairs, and Podcast polishes conversational flow with an episode summary. Then select Verbatim, Clean, or Polished transcript style and set timestamp frequency.
Download Your Labeled Transcript
Musely processes the recording with diarization on by default, applies your chosen preset, and produces a labeled transcript with timestamps at every speaker turn. Download as Markdown, DOCX, or plain text, or copy directly to clipboard for fast sharing.
Who Uses Musely Transcribe Interview
Code semi-structured interviews for thematic analysis
I run 25-30 participant interviews per study and need verbatim transcripts with line numbers for NVivo coding. Musely's Research Interview preset preserves false starts and self-corrections that reveal participant thought processes. The line numbers save me hours of manual reformatting per interview.
Verify quotes from 90-minute source interviews
The Journalism preset tags newsworthy quotes and adds a topic summary at the top, so my editor can scan a long interview in 2 minutes. Per-turn timestamps let me jump back to the exact audio moment for fact-checking. Saved me roughly 4 hours per piece.
Structure candidate interviews into Q1/Q2 evaluation records
Multiple panel members review the same candidate, so consistent formatting matters. Musely's HR preset organizes the transcript into Q1, Q2, Q3 question-answer pairs with a topics covered summary at the end. Hiring committee meetings are 40% shorter because everyone has the same structured record.
Turn 60-minute episodes into polished show notes
The Podcast preset polishes conversational flow, adds an episode summary, and bolds mentioned books and links. I upload the raw recording and have show notes ready for our website in under 10 minutes. The Host/Guest labels work even when speakers don't introduce themselves.
Transcribe usability sessions for affinity mapping
I record 45-minute usability tests with 2 participants and an observer. Musely correctly diarizes all 3 speakers, and the per-turn timestamps let me jump back to specific clicks and reactions in the recording. The Clean style strips filler words while keeping every actionable insight intact.
Archive multilingual interview recordings with verbatim accuracy
I document elder community members in Cantonese and Tagalog. Musely's 51-language support handles both source languages, and the Verbatim style preserves every cultural expression. The bilingual mode lets me publish original and English side by side for our digital archive.
Musely vs. Other Interview Transcription Tools
| Feature | Musely | Sonix | Otter.ai | TurboScribe |
|---|---|---|---|---|
| Interview-Specific Presets | ✓ 4 presets (Research / Journalism / HR / Podcast) | ✗ General transcription only | ✗ Meeting-focused only | ✗ General transcription only |
| Transcript Styles | ✓ Verbatim / Clean / Polished | ⚠ Single output style | ⚠ Single output style | ⚠ Single output style |
| Speaker Diarization | ✓ Interviewer/Interviewee plus 2 to 6+ auto | ✓ Up to 30 speakers | ✓ Reliable for 6-7 speakers | ⚠ Manual labeling required |
| Audio Languages | ✓ 51 with auto-detect | ✓ 40 plus | ⚠ English-focused | ✓ 98 (Whisper-based) |
| Max Recording Length | ✓ 4 hours per file | ⚠ Unlimited (paid) | ⚠ Unlimited (paid) | ⚠ 30 minutes (free) |
| Timestamp Density Control | ✓ 3 levels (per-turn / 30 sec / topic) | ⚠ Per-word only | ⚠ Per-sentence only | ⚠ Per-segment only |
| Bilingual Output | ✓ Side-by-side original plus translation | ⚠ Limited translation | ✗ Not available | ✗ Not available |
What Researchers and Journalists Say
4.8/5 based on 3,120 reviews
“I conduct 18 user interviews per research sprint. The Research Interview preset gives me line-numbered, verbatim transcripts I can paste straight into my coding tool. Musely cut my transcription cost from $3.50 per audio minute (human service) to under $0.10 per minute, saving my study budget.”
“The Journalism preset is why I switched from Otter.ai. Quote tagging plus the topic summary header lets my editor scan a 75-minute source interview in two minutes. Per-turn timestamps mean I can defend any pulled quote against the original audio. Speaker labels match my notes every single time.”
“Musely's HR preset organizes my candidate interviews into Q1/Q2 pairs that my hiring panel actually reads. Diarization handles the 2-speaker setup perfectly. The 96.8% accuracy means I spend 5 minutes proofreading instead of 30 minutes manually transcribing.”
Frequently Asked Questions
Musely transcribes interviews at 96.8% accuracy across 51 languages using Seed-ASR 2.0. It includes 4 profession-specific presets (Research, Journalism, HR, Podcast), automatic Interviewer/Interviewee diarization for 2 to 6+ speakers, and 3 transcript styles. Recordings up to 4 hours are processed with map-reduce strategy that maintains consistent speaker labels.
Musely offers 4 interview-specific presets that auto-format transcripts for research, journalism, HR, and podcasting. Sonix and Otter.ai produce general transcription without profession-specific formatting. Musely also offers 3 transcript styles (Verbatim, Clean, Polished) and 3 timestamp density levels, while competitors typically lock you into one output format.
Musely's diarization handles focus groups, panels, and roundtables with 2 to 6+ speakers. Set the speaker count in advanced settings for the highest accuracy. Each turn gets a Speaker 1 through Speaker 6+ label, replaced with real names when participants introduce themselves in the recording. Accuracy is highest when speakers take clear turns.
Verbatim preserves every word, hesitation, and false start for academic research and legal use. Clean removes filler words like um and uh while keeping the speaker's exact meaning intact. Polished smooths grammar for publication-ready transcripts. Musely lets you choose the style that fits your specific interview workflow.
Musely supports 51 languages and dialects through Seed-ASR 2.0, including English, Mandarin, Cantonese, Japanese, Korean, Spanish, French, German, Arabic, Hindi, Tagalog, and 40 more. Output translation is available to 48 target languages, and bilingual mode displays original and translated text side by side.
Musely processes interview recordings up to 4 hours (240 minutes) per file. The map-reduce strategy with 10-second chunk overlap ensures consistent speaker labels and accurate diarization across long focus groups, multi-hour panel discussions, and oral history sessions.
Musely's map-reduce processing applies 10-second overlap windows between chunks, then a merge step unifies speaker labels across the full recording. If the same person speaks at the boundary of two chunks, their utterances combine into one continuous turn. Real names from the audio replace generic Speaker labels automatically.