What is Transkriptor?
Transkriptor is a state-of-the-art AI transcription platform that transforms audio and video content into text with remarkable precision. The service supports over 100 languages and accommodates all major audio and video file formats, making it a versatile solution for diverse transcription needs.
The platform offers a comprehensive suite of features including multiple speaker recognition, collaborative editing capabilities, and rich export options in various formats such as PDF, TXT, SRT, and Word. With its user-friendly interface and integration with popular meeting platforms like Zoom, Microsoft Teams, and Google Meet, Transkriptor serves as a complete solution for converting spoken content into written text.
Features
- Multiple Language Support: Transcription available in 100+ languages
- Format Compatibility: Supports all audio and video file formats
- Speaker Recognition: Automatic detection and separation of different speakers
- Rich Export Options: Export as PDF, TXT, SRT, Word, or Plain Text
- Collaboration Tools: Team sharing and simultaneous editing capabilities
- Translation Service: One-click translation to 100+ languages
- AI Chat Assistant: Built-in AI for summarization and Q&A
- Real-time Recording: Direct voice recording and transcription
Use Cases
- Interview transcription
- Lecture transcription
- Meeting documentation
- Podcast transcription
- Conference recording
- Seminar documentation
- Webinar transcription
- Research interviews
FAQs
-
How long does it take to transcribe an audio file?
It takes approximately half the time of the audio file. For example, a 10-minute audio file will be transcribed in about 5 minutes. -
What is the accuracy rate of transcriptions?
Transkriptor can achieve up to 99% accuracy depending on the quality of the audio file. -
What file formats are supported?
Transkriptor supports multiple formats including MP3, MP4, WAV, AAC, M4A, WEBM, FLAC, OPUS, AVI, M4V, MPEG, MOV, OGV, MPG, WMV, and more.
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Transkriptor Uptime Monitor
Average Uptime
100%
Average Response Time
209.9 ms
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