Free YouTube transcript generator and audio transcription tool
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Stage
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MVP
Founded
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Based in
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DE
Pricing model
Freemium
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Pricing
Free: 3 transcripts per day, 50 AI credits and 30 transcription minutes per month. Lite: $10/month (or $96/year) for 200 credits/month. Pro: $20/month (or $192/year) for 1,000 credits/month. Max: $50/month (or $480/year) for 4,000 credits/month. One credit covers 1 transcript, 5 minutes of audio tra
Free: €0 with 10 minutes per month. Basic: €24/month with 3,000 minutes per month. Pro: €120/month with 15,000 minutes per month. Ultra: €250/month with 25,000 minutes per month. Enterprise: Custom pricing. Overage: €0.035 per minute. Yearly billing available with 2 months free.
Key features
Transcription from YouTube, TikTok, Instagram, Facebook, LinkedIn and X video links
Upload and transcribe your own audio and video files up to 500 MB on Free and 5 GB on paid plans
AI transcription when captions are missing
Search and copy transcripts in the browser
Export as TXT, SRT or VTT files
Summarize, translate and rewrite transcripts
REST API and MCP server for developers and AI agents
Batch processing up to 20 videos on Pro and 100 on Max
No per-video length limit on any plan
Audio event detection with confidence scores
Scene context identification
Activity context inference
Emotional context detection
Speaker identification
Custom acoustic model training
API and SDK access
Real-time audio processing on device
Hardware-level marker injection into EEG
JSON and CSV structured output
What makes it different
Works across YouTube, TikTok, Instagram, Facebook, LinkedIn, X and your own files with one unified workflow
Full timestamped transcript you can search, copy and export, not just a read-along panel
Handles videos without captions by transcribing the audio with AI
Same transcripts available in web app and through API, MCP server and agent skills
Timestamps preserved in all exports and translations
Multiple layers of context from single audio pass with timestamped results
Millisecond-precision hardware-level timing in EEG signal
Multi-layered contextual understanding beyond single labels