Convert PDFs into chapter-aware audiobooks with smart chapter detection
Free AI-powered video transcript extractor for 30 platforms
Stage
Startup
Not given
Founded
2024
Not given
Based in
Not given
AU
Pricing model
Freemium
Not given
Pricing
Free: 5,000 words on signup plus 500 words monthly. Creator: $9/month with 50,000 words. Pro: $45/month with 200,000 words. Studio: $149/month with 600,000 words. Additional words available at $0.40 per 1,000 words.
Free Starter: 2 free credits on signup. Micro: 5 credits for $3.99. Starter: 15 credits for $5.99. Popular: 40 credits for $11.99. Pro: 100 credits for $22.99. Power: 250 credits for $44.99. Credits never expire. First purchase includes bonus credits.
Key features
Convert PDF to audiobook
Convert DOCX to audiobook
Convert EPUB to audiobook
Automatic chapter detection
Front matter and table of contents skipping
Chapter-grounded Q&A
Multiple narration voices
Resume playback across devices
MP3 and WAV downloads
Extract captions from 30 video platforms including YouTube, TikTok, Vimeo, Twitch, Loom, and others
AI transcription using OpenAI's Whisper with 95% accuracy on clear English speech
Support for 90+ languages
Download transcripts as TXT, SRT, or VTT with timestamps
Speaker labels for AI transcripts to identify who is speaking
AI-powered video summaries with key takeaways and chapter markers
Support for videos up to 10 hours (16 hours for YouTube and select streaming platforms)
Upload audio and video files for transcription
Copy transcripts to clipboard or read online
Automatic credit refund if transcription fails
What makes it different
Chapter-aware audiobook format rather than continuous narration
Automatic detection of chapter structure and front matter classification
Private storage with no training or redistribution of uploaded content
Detects and surfaces figures, code, and equations as source pages during playback
Works with 30 platforms without needing browser extensions or software installation
Can extract transcripts even when videos have no captions using AI
Audionarrator
SubGrab