Speaker identification

Automatic Speaker Identification

Our AI automatically identifies and labels different speakers in your audio. Know who said what without manual tagging - perfect for meetings, interviews, and multi-person recordings.

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Consistent Speaker Labels

Each speaker is identified consistently throughout the transcript. Speaker A remains Speaker A from start to finish, making conversations easy to follow.

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AAlex (Host)BDr. Sarah ChenAAlex (Host)

Voice Print Recognition

Our AI creates unique voice profiles for each speaker. Even in long recordings with multiple speakers, each person is correctly identified.

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Speaker ASpeaker B

With vs. Without Speaker ID

featurewithoutwith heartotext
Multi-person meetingsCan't tell who said whatClear speaker attribution
Interview transcriptsInterviewer/subject mixed upQ&A clearly separated
Podcast editingManual speaker taggingAutomatic host/guest labels
Quote extractionAttribution unclearAccurate speaker quotes

Use Cases

Team Meetings

Know who made each point, decision, or commitment in group meetings.

Interviews & Podcasts

Clearly separate host and guest dialogue for easy editing.

Focus Groups

Track individual participant contributions in research settings.

How Speaker Identification Works

Our AI analyzes voice patterns to distinguish and label speakers throughout your recording.

Step 01

Voice Analysis

AI analyzes unique voice characteristics for each speaker.

Step 02

Speaker Detection

Different speakers are identified and separated.

Step 03

Label Assignment

Each speaker gets a consistent label throughout.

Step 04

Name Mapping

Easily assign real names to speaker labels.

key features

Auto-Detection

Speakers identified automatically, no setup needed.

Name Assignment

Easily map names to speaker labels.

Consistent Labels

Same speaker = same label throughout.

Multiple Speakers

Handle meetings with many participants.

Overlapping Speech

Handles when speakers talk over each other.

Export Options

Keep speaker labels in all export formats.

Your Privacy Matters

Your data security is our top priority. All files are protected with 256-bit encryption and automatically deleted after processing.

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Customer Reviews

What Our Users Say

see how professionals are using this feature to save time and boost productivity.

Trustpilot

转录变得简单

这个工具改变了我的工作流程。现在我可以在几分钟内从视频创建博客文章。准确率令人印象深刻!

王小明

内容创作者

2周前
G2

内容分析的完美工具

我每天分析社交媒体内容进行市场研究。这个工具每周为我节省数小时。

李华

数字营销人员

1个月前
Capterra

工作必不可少

现在管理多个账户变得更加容易。转录质量非常出色。

张丽

社交媒体经理

3周前
App Store

准确可靠

作为记者,我需要准确的转录。这个工具每次都能提供带时间戳的内容。

刘强

记者

1周前
Google Play

研究的好帮手

我用它进行社交媒体学术研究。多语言支持非常棒。

陈美

研究员

2个月前
Trustpilot

团队最佳工具

我们整个团队都用它进行内容分析。强烈推荐!

赵伟

内容策略师

3周前

常见问题

How many speakers can it identify?
Our AI can identify and track up to 10+ distinct speakers in a single recording. Accuracy is highest with 2-6 speakers.
Do I need to pre-register speakers?
No! Speaker identification is fully automatic. Simply upload your audio and speakers are detected and labeled without any setup.
How accurate is speaker identification?
We achieve 90-95% accuracy in distinguishing speakers. Accuracy is highest when speakers have distinct voices and minimal crosstalk.
Can I assign real names to speakers?
Yes! After transcription, you can easily map real names to speaker labels. Click on any "Speaker A" to assign a name that updates throughout.
What happens with overlapping speech?
Our AI handles overlapping speech by identifying the dominant speaker for each segment. Heavily overlapping sections are noted in the transcript.
Does it work with phone call recordings?
Yes! Phone recordings work well for speaker identification. The two-party nature of most calls makes speaker separation highly accurate.

Try Speaker Identification

Upload a multi-speaker recording and see automatic speaker detection in action.