Transcribe videos from YouTube in 3 minutes
Paste a video link — get accurate transcription with speaker diarization and AI summary. Up to 99% accuracy
Supported platforms
Transcribe videos from any platform
Intuitive interface for working with transcriptions
All your transcripts in one place. Easy navigation, quick search, and detailed view of each transcription with AI reports
How it works
From link to transcript in 3 simple steps
Paste a link
Copy video URL from YouTube, Facebook, Instagram, Vimeo or TikTok
AI processes
Automatic transcription with high accuracy in minutes
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Ready transcript with speaker diarization, AI summary and export to any format
More than just text
Professional tool for working with video content
Up to 99% accuracy
Using advanced AI models for speech recognition — like human hearing
Speaker diarization
Automatically detect and separate speakers with timestamps
AI analysis and reports
Ready-made reports for different tasks: scripts, notes, posts, articles
Time navigation
Click on text — jump to moment in video. Quick search for needed fragment
99 languages
Support for most world languages with high recognition accuracy
Export to any format
PDF, DOCX, TXT, SRT subtitles — choose convenient format
Speech recognition accuracy
60 minutes of video processed in 3-5 minutes
Maximum video duration
Language support with high accuracy
AI reports for any task
Lecture notes
Structured notes with key topics, definitions, and conclusions
Create report1. ML Basics
• Algorithms learn from data without explicit programming
2. Neural Networks
• Model of neuron layers mimicking brain function
Summary
ML is transforming industries — from voice assistants to self-driving cars
Key quotes
YouTube script
Article materials
Social media posts
1. ML Basics
• Algorithms learn from data without explicit programming
2. Neural Networks
• Model of neuron layers mimicking brain function
Summary
ML is transforming industries — from voice assistants to self-driving cars
Data is the new oil, ML is the engine to use it
Neural networks learn patterns faster than human brain
Future belongs to algorithms that understand context
Introduction
Greeting, topic announcement
Main Part
ML concept explanation, examples
Demo
Practical model training example
Conclusion
Summary, call to action
Main idea
Machine learning is becoming the foundation of modern technologies, from voice assistants to autopilots
Key quote
"ML is not magic, it's math, statistics, and lots of data"
Practical application
Use cases: medicine (diagnostics), finance (scoring), retail (recommendations)
Breaking down machine learning ML works in three modes: → Supervised learning You show the right answers → Unsupervised learning Algorithm finds patterns itself → Reinforcement learning System learns from mistakes Result: computers solve tasks that only humans could before #MachineLearning #AI #DataScience
3 years working with ML taught me one thing: Success = data quality × right architecture × iterations Not magic. Systematic approach. Share your experience in comments — what metrics do you track when training models? #MachineLearning #AI #DataScience
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FAQ
We support YouTube, Facebook, Instagram, Vimeo, TikTok. For private videos you can upload file directly.
60 minutes of video processed in 3-5 minutes. Speed depends on length and quality.
We support videos from 1 minute to 20 hours.
99 languages with high accuracy, including English, Spanish, Chinese, Russian and others.
Yes, you can edit text, rename speakers and add comments.
PDF, DOCX, TXT, MD, SRT subtitles — choose convenient format.
All data stored on secure encrypted servers. We don't share your data with third parties.
50 minutes of transcription free, no credit card required. All features available: AI reports, export, editing.
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