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Speaker Label in Transcription for Clear Multi-Speaker Records
DeVoice speaker label in transcription automatically identifies and tags every speaker in your audio or video. Get clean, readable transcripts that show exactly who said what — with timestamps — no manual labeling required.
Upload or drag audio / video
Max 500MB
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Automatic Detection
Separate Speaker
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Our Features
Who Said What, Labeled Automatically
Every voice in the room gets a name and a timestamp — no manual tagging, no guessing who spoke.
Automatic Speaker Identification
DeVoice detects distinct voices in any recording and assigns each one a unique label automatically. The speaker diarization engine separates overlapping conversations, cross-talk, and multi-person discussions with high accuracy — so you never have to guess who's talking.
Custom Speaker Naming
Rename "Speaker A" and "Speaker B" to real names like "Sarah" or "Interviewer" with one click. Custom labels persist across exports, making your speaker-labeled transcripts ready to share with teams, clients, or publication immediately.
Timestamps for Every Speaker Turn
Every speaker change is marked with a precise timestamp. Jump directly to any moment a specific person starts talking, review turn-taking patterns, and export time-coded multi-speaker transcripts for analysis or subtitle creation.
Multi-Speaker SRT Export
Generate SRT and VTT subtitle files that include speaker labels. Perfect for multi-person interviews, panel discussions, and conference recordings — viewers see who's speaking alongside the captions, improving clarity and accessibility.
100+ Languages & Accents
Speaker identification works across 100+ languages and regional dialects. Whether your recording is in English, Spanish, Mandarin, or a mix of languages, DeVoice separates and labels voices consistently.
Real-Time Preview & Edit
Watch speaker labels populate as the AI processes your file. Spot-check accuracy on screen, correct mislabeled speakers with a click, and fine-tune results before exporting. Preview is always free — upgrade to download.
Overlap Speech Handling
DeVoice handles cross-talk and overlapping speech better than basic transcription tools. When two people talk simultaneously, the system flags the overlap and assigns both speakers, so you don't lose content in noisy multi-person recordings.
Multi-Format Export (SRT/VTT/JSON/CSV/TXT)
Export your speaker-labeled transcript in any format your workflow needs. SRT/VTT for subtitles, JSON/CSV with speaker IDs and timestamps for data analysis, and plain TXT for readability. One transcript, every output.
User Cases
Speaker Diarization for Podcasts, Meetings, Legal Records, and Research
Trusted by podcast producers, project managers, legal teams, and researchers worldwide.
PodcastsPodcast & Interview Producers
Podcasters and interviewers use speaker label in transcription to produce clean show notes and transcripts. Every guest and host is automatically identified, so listeners can follow along and creators can repurpose episodes into blog posts, social clips, and newsletters — without manually tagging who said what.
Still Guessing Who Said What in Meeting Notes?
Meeting recaps become actionable when every comment is attributed to the right person. DeVoice speaker diarization labels each participant automatically, so project managers can track decisions, assign action items, and share accurate minutes with the team. No more "who mentioned the deadline?" confusion.
Legal & Court Reporters
Legal professionals rely on verbatim, speaker-attributed records for depositions, hearings, and witness statements. DeVoice speaker-labeled transcription delivers timestamped records with clear speaker separation — essential for evidence, review, and compliance with court reporting standards.
Still Manually Tagging Speakers in Research Transcripts?
Researchers conducting interviews, focus groups, and qualitative studies save hours with automatic speaker identification. Export speaker-tagged CSV/JSON files directly into NVivo, Atlas.ti, or Dedoose for thematic analysis — no more manually labeling Participant 1, Participant 2 by hand.
Tutorial
How to Get Speaker Label in Transcription?
Get labeled multi-speaker transcripts in seconds — no manual tagging required.
1
Upload Media
Drag and drop your audio or video file (MP3, MP4, WAV, MOV, M4A, etc.), or paste a URL.
2
AI Identifies & Labels Speakers
DeVoice transcribes and automatically detects distinct voices, assigning each a speaker label with timestamps.
3
Review, Rename & Export
Customize speaker names, correct any labels, and export as SRT, VTT, JSON, CSV, or TXT.
Frequently Asked Questions
Everything you need to know about DeVoice speaker labeling.
What is speaker label in transcription?
Speaker label in transcription (also called speaker diarization) is the process of identifying distinct speakers in an audio or video recording and tagging each segment of text with the person who said it. The result is a transcript that shows "who said what" with timestamps.
How accurate is speaker identification?
Can I rename speakers after transcription?
Does it work with overlapping speech?
Is speaker labeling free to use?
Get Speaker-Labeled Transcripts Today
Automatic speaker identification with timestamps for podcasts, meetings, legal records, and research. Free preview, 100+ languages, no installation required.