WhisperNoteWhisperNote
AI Audio Transcription

Transform audio into
searchable intelligence

Convert recordings to accurate, searchable transcripts in minutes. Features automatic speaker diarization, time-synced playback, and an AI workspace for notes and chat.

No credit card required
20 MB free daily
Privacy-first
Live Transcription

"In the next quarter, we should prioritize onboarding improvements and reduce the time-to-value for new teams joining the platform."

AI suggests:
Transform meetings into searchable notes
Speaker Detection
3 detected
Marcus L.00:00Project kickoff
Elena R.01:02Timeline concerns
David K.02:15Resource allocation
AI-Generated Action Items
  • Draft onboarding checklist by Friday
  • Assign documentation owners
  • Schedule follow-up for timeline risks
0+

Audio files transcribed

0%

Accuracy on clear audio

0+

Active users worldwide

0 min

Average processing time

How It Works

Audio to text in three steps

Step 01

Upload

Drag & drop your audio files. Supports MP3, WAV, M4A, FLAC, and more.

Step 02

Transcribe

AI processes your audio with speaker labels and precise timestamps.

Step 03

Organize

Search, edit, add notes, and chat with your recordings in one workspace.

Features

Everything you need for transcription

From fast AI transcription to intelligent speaker detection, WhisperNote has all the tools to transform your audio workflow.

WhisperX-Powered Transcription

Highly accurate transcripts from audio files in minutes. Our engine handles multiple languages, accents, and technical terminology.

Speaker Diarization

Automatically detect and label multiple speakers with intelligent voice separation.

Time-Synced Playback

Click any word to jump to that exact moment. Perfect for reviewing key points.

AI Chat Workspace

Generate summaries, extract action items, and ask questions about your recordings.

Organize & Search

Create folders, add tags, and search across all your transcripts with full-text search capabilities.

Meetings24
Interviews12
Podcasts8
Use Cases

Built for professionals who value their time

Business Teams

Transform meeting recordings into actionable notes and searchable archives.

"WhisperNote cut our meeting documentation time by 80%. The speaker detection is incredibly accurate."

Marcus Chen, Product Lead at Vertex

Content Creators

Repurpose podcasts and videos with accurate, timestamped transcripts.

"I use WhisperNote for every podcast episode. The timestamp sync makes editing so much faster."

Elena Vasquez, Podcast Producer

Researchers

Transcribe interviews and lectures with automatic speaker attribution.

"Being able to search through hours of interview recordings has transformed my research workflow."

Dr. James Okonkwo, Academic Researcher

Journalists

Never miss a quote with searchable, organized recording archives.

"The ability to click and jump to any quote in the audio has saved me countless hours."

Natalie Foster, Investigative Reporter

Comparison

See how WhisperNote compares

FeatureWhisperNoteOthers
AI-Powered Transcription
Speaker Detection
Limited
Time-Synced Playback
Limited
Notes & Chat Workspace
Full-Text Search
Generous Free Tier
No Subscription Required
Data Privacy First
Varies
FAQ

Frequently asked questions

WhisperNote supports all major audio formats including MP3, WAV, M4A, FLAC, OGG, and WebM. You can also provide a URL to an audio file hosted online.

Pricing

Simple, transparent pricing

Start free and upgrade as your needs grow.

Free

$0
  • 1 file per day
  • 20 MB max file size
  • 30 min max duration
  • Basic transcript view
  • Standard processing
Start free
Most popular

Pro

$19/month
  • 5 files per day
  • 100 MB max file size
  • 1 hour max duration
  • Notes & chat workspace
  • Priority processing
Sign in to subscribe

Unlimited

$49/month
  • 20 files per day
  • 500 MB max file size
  • 2 hour max duration
  • Full feature access
  • Fastest processing
Sign in to subscribe

Start transcribing your audio today

Join thousands of professionals who trust WhisperNote for fast, accurate audio transcription with speaker detection.