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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.
Upload the audio or video file from your interview. All common formats are supported — MP3, WAV, M4A, MP4, MOV, and more.
Vocova detects individual voices and labels each speaker's contributions throughout the recording. Two-person interviews, panel discussions, and focus groups are all supported.
Download the transcript in formats ready for qualitative research tools, publications, or project records.
Every interview transcript lives or dies by accurate speaker attribution. Vocova labels each speaker throughout, keeping questions and answers clearly separated.
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.
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.
Focus groups, panel interviews, and multi-stakeholder discussions with 3–8 participants are handled with individual speaker detection for each voice.
Every speaker turn includes a precise timestamp, giving you the exact reference point needed for academic citations, journalism, and legal documentation.
Upload the recording exactly as it came out of your phone, voice recorder, or meeting app — M4A voice memos, MP3, WAV, or full video files — and get clean text without converting anything first.
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.
Import transcripts directly into NVivo or Dedoose with speaker labels intact. Code themes, tag segments, and build your analysis on accurate source material.
Journalists and researchers can trace every quote back to the speaker and timestamp. No more guessing who said what when writing up results.
Organizations conducting regular interviews — hiring, research, compliance — build a searchable text archive instead of a folder of audio files nobody will relisten to.
Written transcripts of hiring interviews ensure that evaluation panels can review candidate responses accurately, reducing reliance on memory and notes.
Transcribe research interviews with speaker labels for thematic coding in NVivo, Dedoose, or ATLAS.ti. Verbatim transcription preserves exact phrasing for analysis.
Get timestamped, speaker-attributed transcripts from source interviews. Quote accurately and trace every statement back to its origin.
Transcribe user interviews and usability sessions with speaker labels, so you can tag insights by participant and share findings across your product team.
Create written records of candidate interviews for panel review, compliance documentation, and structured evaluation processes.
Transcribe raw interview footage with timestamps for logging, paper edits, and building narrative structure from hours of source material.
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.
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.
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.
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.
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.
There is no hard limit on recording length. Multi-hour interviews, depositions, and focus group sessions are all processed in full without truncation.
Vocova delivers high accuracy for clear recordings. For legal proceedings and academic publications, we recommend reviewing and correcting the transcript before final use — as you would with any AI or human transcription service.
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