Are filler words like 'um' and 'uh' included in the transcript?

Yes. Vocova produces verbatim transcripts that include filler words, false starts, and repeated words. This is the standard expected for qualitative research, legal proceedings, and any context where exact phrasing matters.

How well does it detect speakers with similar voices?

Speaker diarization works by detecting vocal characteristics. Speakers with distinctly different voices are separated reliably. Speakers with very similar voice qualities (e.g., same-gender siblings) may occasionally be confused, particularly if recording quality is low. Using separate microphones significantly improves accuracy.

Can I import the transcript into NVivo or Dedoose?

Yes. Export the transcript as a TXT file with speaker labels. NVivo, Dedoose, and ATLAS.ti can import plain text files. Speaker labels in the transcript carry through, allowing you to code and analyze by speaker in your research tool.

How does it handle overlapping speech?

When two speakers talk simultaneously, Vocova transcribes the dominant (louder/clearer) voice and attributes it to the detected speaker. Brief overlaps are handled well; extended cross-talk may produce incomplete segments.

Can I rename speakers in the transcript?

Yes. Vocova initially labels speakers as Speaker 1, Speaker 2, etc. You can rename them in the transcript editor before exporting, so the final document uses actual names.

Transcribe interviews with speaker labels

Upload your interview recording and get a complete transcript with automatic speaker identification. Every question and answer labeled, timestamped, and ready for analysis.

Drop your file here or click to browse

.mp3, .wav, .m4a, .aac, .ogg, .flac, .mp4, .mov, .avi, .mkv, .webm·up to 500MB

Speaker diarization is the core of interview transcription

An interview transcript without speaker labels is just a wall of text. Vocova automatically detects who is speaking throughout your recording and labels every segment — interviewer questions distinct from participant answers. The result is a structured transcript ready for qualitative analysis, journalistic attribution, or legal documentation. Export to formats compatible with NVivo, Dedoose, and other research tools.

How it works

Upload your interview recording

Upload the audio or video file from your interview. All common formats are supported — MP3, WAV, M4A, MP4, MOV, and more.

Supports all common audio and video formats
Upload files from your device or paste a URL
Handles recordings of any length

AI identifies and labels each speaker

Vocova detects individual voices and labels each speaker's contributions throughout the recording. Two-person interviews, panel discussions, and focus groups are all supported.

Automatic speaker detection and labeling
Handles 2-person to multi-participant interviews
Timestamps every speaker turn

Export for analysis or documentation

Download the transcript in formats ready for qualitative research tools, publications, or project records.

Export as TXT, SRT, VTT, DOCX, or PDF
TXT format compatible with NVivo and Dedoose import
Edit speaker names before exporting

Features

Speaker diarization as the core feature

Every interview transcript lives or dies by accurate speaker attribution. Vocova labels each speaker throughout, keeping questions and answers clearly separated.

Verbatim transcription with filler words

Vocova captures speech as spoken, including filler words (um, uh, you know) and false starts. This verbatim style is essential for qualitative research where exact phrasing matters.

Qualitative research tool compatibility

Export transcripts as TXT files formatted for import into NVivo, Dedoose, ATLAS.ti, and other qualitative analysis software. Speaker labels carry through to the export.

Multi-participant interviews

Focus groups, panel interviews, and multi-stakeholder discussions with 3–8 participants are handled with individual speaker detection for each voice.

Citation-ready timestamps

Every speaker turn includes a precise timestamp, giving you the exact reference point needed for academic citations, journalism, and legal documentation.

Why choose Vocova

Cut transcription time from hours to minutes

A 60-minute interview takes 4–6 hours to transcribe manually. Vocova delivers a speaker-labeled transcript in minutes, freeing researchers to focus on analysis.

Enable rigorous qualitative analysis

Import transcripts directly into NVivo or Dedoose with speaker labels intact. Code themes, tag segments, and build your analysis on accurate source material.

Attribute quotes with confidence

Journalists and researchers can trace every quote back to the speaker and timestamp. No more guessing who said what when writing up results.

Create a searchable interview archive

Organizations conducting regular interviews — hiring, research, compliance — build a searchable text archive instead of a folder of audio files nobody will relisten to.

Support inclusive hiring processes

Written transcripts of hiring interviews ensure that evaluation panels can review candidate responses accurately, reducing reliance on memory and notes.

Who can benefit

Qualitative researchers

Transcribe research interviews with speaker labels for thematic coding in NVivo, Dedoose, or ATLAS.ti. Verbatim transcription preserves exact phrasing for analysis.

Journalists

Get timestamped, speaker-attributed transcripts from source interviews. Quote accurately and trace every statement back to its origin.

UX researchers

Transcribe user interviews and usability sessions with speaker labels, so you can tag insights by participant and share findings across your product team.