Convert MP4 videos into accurate AI transcripts with timestamps, speaker labels, and easy exports
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
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Based in
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Pricing model
Freemium
Open source
Pricing
Free plan with 5 free transcriptions per day up to 30 minutes each. Basic: $6/month or $72/year (800 minutes/month). Standard: $12/month or $144/year (2500 minutes/month). Pro: $20/month or $240/year (6000 minutes/month).
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Supports multiple video formats including MP4, MOV, MKV, WebM, 3GP, MPG, TS, and WMV
Automatic speaker identification and labeling
Timestamps for every transcribed segment
Export to multiple formats including TXT, PDF, DOCX, CSV, and subtitle files
Transcription in 150+ languages
Text summaries and mind maps
Video files up to 10 hours long and 5 GB in size
Edit transcripts directly in the platform
Share transcripts with collaborators via share links
Auto-detect or manual language selection
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
What makes it different
No audio extraction needed - transcribe video directly
Fast processing with background transcription
Private workspaces - transcripts stay secure unless you share them
Free tier available with no credit card required
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives