CoSupport AI
What is Tunk.ai?
Tunk.ai is an advanced AI-powered transcription and analytics platform that converts speech into actionable insights across 90+ languages. The platform combines cutting-edge speech recognition technology with powerful analytics capabilities to deliver highly accurate transcriptions for diverse industry applications.
The platform stands out with its superior benchmarking against competitors, featuring an innovative TEP (Tunk Error Penalty) quality measurement system, seamless file integration, and an intuitive transcription editing interface. It incorporates human precision in AI-driven transcription through rigorous quality checks and specialized error correction mechanisms.
Features
- Accurate Transcription: Industry-leading speech-to-text conversion with superior accuracy
- Speaker Diarization: Precise speaker identification and labeling in audio content
- Multilingual Support: Transcription and translation capabilities in 90+ languages
- Seamless Integration: Easy file merging with drag-and-drop functionality
- Editing Interface: Built-in intuitive interface for transcript refinement
- Quality Assurance: Rigorous human editing and review process
- API Access: Developer-friendly API for custom integration
Use Cases
- Business and financial transcription
- Educational content transformation
- Legal and medical documentation
- Investigative journalism
- Cross-language communication
- Archive digitization
- Meeting transcription
- Content accessibility
FAQs
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How do I convert Speech to Text in Tunk?
Simply upload your file onto the platform, and the AI technology will transcribe it into text format. You can then search, edit, organize, and export transcripts according to your preferences. -
What is the difference between AI Transcription and Human Transcript Editing?
Tunk.ai offers industry-leading AI transcription accuracy across diverse accents. For absolute precision, Human Editing provides three-stage quality checks, ensuring the highest possible accuracy.
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Tunk.ai Uptime Monitor
Average Uptime
99.86%
Average Response Time
1865.97 ms
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