Tunk.ai
Convert speech to text with 99% accuracy in 90+ languages
Target Audience
- Financial Analysts
- Educational Content Creators
- Investigative Journalists
- Multinational Teams
Hashtags
Overview
Tunk.ai turns audio/video files into searchable, editable transcripts using AI and human verification. It handles earnings calls, lectures, and interviews across 90+ languages while identifying different speakers. The platform helps businesses archive content, journalists focus on reporting, and educators make lessons globally accessible through translations.
Key Features
Speaker Diarization
Automatically identifies different speakers in recordings
Live Editing
Built-in interface to refine transcripts immediately
TEP Accuracy
Proprietary error scoring stricter than industry standards
Human Verification
Optional manual quality checks for critical transcripts
Use Cases
Transcribe earnings calls & investor meetings
Convert lectures to searchable study materials
Create legal/medical documentation from recordings
Translate international business negotiations
Streamline interview analysis for journalists
Pros & Cons
Pros
- Superior accuracy through TEP measurement system
- Supports rare languages beyond typical competitors
- Human-in-the-loop quality assurance option
- Direct integration with Zoom/Teams meetings
Cons
- No real-time transcription (coming soon)
- Complex pricing may confuse casual users
Pricing Plans
Pay-as-you-go
monthlyFeatures
- 90+ language support
- Speaker identification
- Basic editing tools
Enterprise
annualFeatures
- Custom vocabularies
- Human verification
- Storage integrations
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
How does Tunk.ai ensure transcription accuracy?
Combines AI with optional human verification and uses stricter TEP accuracy measurement instead of traditional WER
Can I edit transcripts directly in the platform?
Yes, built-in editing interface allows real-time corrections
Do you support real-time meeting transcription?
Not currently, but this feature is in development
Integrations
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