Convert YouTube videos to structured documents, PDFs, and markdown instantly with AI
2K video with native stereo audio in one pass
Stage
Not given
Startup
Founded
Not given
2026
Based in
SG
Not given
Pricing model
Free
Freemium
Pricing
Free plan with limited daily conversions; paid plans available for unlimited conversions and longer videos.
On the Hailuo AI App: free tier and paid monthly plans (rates listed in app). On MiniMax Open Platform: billed per output second, with 2K tier priced above 768p tier. On this site: 18 credits per second at 768p and 29 credits per second at 2K, with annual plans showing 50% discount and various month
Key features
YouTube to Structured Doc - converts videos to organized documents with headings and summaries
YouTube to PDF - export video content to polished PDF format
YouTube to Markdown - generate clean .md files for notes and documentation
YouTube to Docx - download as Microsoft Word files
YouTube video download - save videos in high quality with multiple resolutions
Audio extract as MP3 or WAV - extract audio tracks from videos
Transcript extraction - pull full timestamped transcripts from any video
AI summary - generate concise summaries of video content
Chapter detection - automatically extract and organize video chapters
Timestamp mapping - each section matched with original video timestamps
Multimodal reference input: images, video, and audio
Context-IR token-based pricing variant
Downloadable weights for local deployment
H3-Contextual Omni Representation for modality bridging
Up to 12 reference files with caption compression
What makes it different
Multimodal AI analyzes both transcript and visual context for accurate documents
No registration required - start converting immediately
100% secure and private - no document storage or data sharing
Intelligent structuring organizes content into logical sections and chapters
Conversion under 30 seconds for videos up to 30 minutes
Only model generating video and audio together natively
2K output at lower per-second rate than competitors
Downloadable open weights available
Accepts richer multimodal reference input than competitors