Automatically Identify Speakers
Hear2Text detects who is speaking and labels each segment. Make meetings, interviews, and podcasts easy to read and quote.
Consistent Speaker Labels
Keep speakers consistent across the transcript so it reads like a real conversation.
Get StartedVoice Pattern Recognition
Improve clarity with smarter separation in interviews, panels, and multi-person meetings.
Get StartedClarity for Multi-Speaker Audio
| Feature | Without | With heartotext |
|---|---|---|
| Multi-person meetings | One long paragraph | Labeled speakers |
| Interview transcripts | Hard to quote | Easy to reference |
| Podcast editing | Manual cleanup | Speaker-aware transcript |
| Quote extraction | Scrub the audio | Jump to quotes |
Use Cases
Team meetings
Track decisions and action items by speaker for better follow-up.
Interviews and podcasts
Separate host and guest for editing, publishing, and quoting.
Focus groups
Analyze participant feedback with clear speaker separation.
How Speaker Identification Works
We analyze voices, detect speaker changes, and label the transcript automatically. You can rename speakers anytime.
Analyze voices
Our model learns voice characteristics across the recording.
Detect speaker changes
Separate speakers even in fast conversations and interviews.
Assign labels
Label each segment to keep the transcript readable and structured.
Map to real names
Rename Speaker 1, Speaker 2, etc. to actual participant names.
Key Features
Automatic detection
Detect speaker changes without manual tagging.
Name assignment
Rename speakers to real names to keep transcripts clean.
Consistent labels
Keep Speaker A and Speaker B consistent across the conversation.
Multiple speakers
Great for meetings, panels, podcasts, and interviews.
Overlapping speech
Handle interruptions and fast dialogue with better segmentation.
Export ready
Export with speaker labels for editing, sharing, and documentation.
Your Privacy Matters
Your data security is our top priority. All files are protected with 256-bit encryption and automatically deleted after processing.
What Our Users Say
See how professionals are using this feature to save time and boost productivity.
Transcription Made Easy
This tool has transformed my workflow. I can now create blog posts from videos in minutes instead of hours. The accuracy is impressive!
Sarah Mitchell
Content Creator
Perfect for Content Analysis
I analyze social media content daily for market research. This tool saves me hours every week with its accurate transcriptions.
Michael Chen
Digital Marketer
Essential for My Workflow
Managing multiple accounts is so much easier now. The transcription quality is outstanding and the multi-language support is a bonus.
Emma Rodriguez
Social Media Manager
Accurate and Reliable
As a journalist, I need accurate transcripts from video sources. This tool delivers every time with timestamps included.
David Kim
Journalist
Great for Research
I use this for academic research on social media content. The multi-language support is fantastic for international studies.
Lisa Thompson
Researcher
Best Tool for Content Teams
Our entire team uses this for content analysis. Highly recommended for anyone working with video content!
James Wilson
Content Strategist
Frequently Asked Questions
How many speakers can it identify?
Do I need to pre-register speakers?
How accurate is speaker identification?
Can I assign real names to speakers?
What happens with overlapping speech?
Does it work with phone call recordings?
Get Speaker Labels Automatically
Transcribe your next conversation and see speaker identification in action.