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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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Trustpilot
4.8
موثوق به لدى أكثر من 10,000 عميل حول العالم

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.

ابدأ الآن
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.

ابدأ الآن
Speaker ASpeaker B

With vs. Without Speaker ID

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

حالات الاستخدام

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.

الخطوة 01

Voice Analysis

AI analyzes unique voice characteristics for each speaker.

الخطوة 02

اكتشاف مكبر الصوت

Different speakers are identified and separated.

الخطوة 03

Label Assignment

Each speaker gets a consistent label throughout.

الخطوة 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.

خصوصيتك مهمة

أمن بياناتك على رأس أولوياتنا. جميع الملفات محمية بتشفير 256 بت ويتم حذفها تلقائياً بعد المعالجة.

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256-bit
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خاص
آراء العملاء

ما يقوله مستخدمينا

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

Trustpilot

التفريغ أصبح سهلاً

هذه الأداة غيرت طريقة عملي. الآن أستطيع إنشاء مقالات من الفيديو في دقائق. الدقة مذهلة!

فاطمة الحسن

صانعة محتوى

قبل أسبوعين
G2

مثالي لتحليل المحتوى

أحلل محتوى وسائل التواصل يومياً لأبحاث السوق. هذه الأداة توفر لي ساعات كل أسبوع.

أحمد محمد

مسوق رقمي

قبل شهر
Capterra

ضروري لعملي

إدارة حسابات متعددة أصبحت أسهل بكثير. جودة التفريغ ممتازة.

نور العلي

مديرة وسائل التواصل

قبل 3 أسابيع
App Store

دقيق وموثوق

كصحفي، أحتاج نسخ دقيقة. هذه الأداة تقدم دائماً مع الطوابع الزمنية.

خالد الراشد

صحفي

قبل أسبوع
Google Play

رائع للبحث

أستخدمه للبحث الأكاديمي في وسائل التواصل. دعم اللغات المتعددة رائع.

سارة الأحمد

باحثة

قبل شهرين
Trustpilot

أفضل أداة للفرق

فريقنا بأكمله يستخدمه لتحليل المحتوى. أوصي به بشدة!

عمر الخالد

استراتيجي محتوى

قبل 3 أسابيع

الأسئلة الشائعة

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.

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