Product Overview
Mitsuko is an AI-powered solution designed for professional-grade subtitle translation and audio transcription. The platform combines multiple state-of-the-art AI models to deliver:
- Subtitle Translation: Supports SRT and ASS formats using Gemini, Claude, Grok and OpenAI models
- Audio Transcription: Generates perfectly timed subtitles from audio files with custom instructions
- Context Extraction: Maintains consistency across episodes through structured context documents
Key Advantages:
- Context Awareness: Prioritizes meaning over literal translation
- Cultural Adaptation: Handles idioms and cultural references effectively
- Tonal Alignment: Matches character speech patterns consistently
Product Features
Subtitle Translation
- Contextual Understanding: Analyzes scene context for accurate intent
- Speech Pattern Matching: Aligns translations with character voices
- Cultural Localization: Adapts idioms and cultural references
- Custom Instructions: Allows user guidance for specific requirements
Audio Transcription
- Precision Timing: Generates frame-accurate subtitle synchronization
- Intelligent Segmentation: Divides content by sentences and clauses
- Pre-processing Instructions: Accepts custom directives before transcription
Context Management
- Multi-source Extraction: Gathers context from subtitles, audio or text
- Structured Documentation: Creates organized context references
- Cross-episode Consistency: Maintains unified terminology and style
Technical Architecture
The processing workflow follows this sequence:
```mermaid flowchart TD A[Input Subtitle/Audio] --> B[Context Extraction] B --> C[AI Model Processing] C --> D[Translation/Transcription] D --> E[Quality Validation] E --> F[Output Delivery] ```
Pricing Structure
Mitsuko operates on a transparent credit system with detailed model-specific costs:
| AI Model | Input Token Cost | Output Token Cost | Context Window | Max Completion | |------------------------|------------------|------------------|----------------|----------------| | DeepSeek R1 | 0.607 | 2.41 | 128k | 128k | | Gemini 2.5 Pro | 1.5 | 12 | 1M | 66k | | Claude 3.7 Sonnet | 3.6 | 18 | 200k | 64k | | GPT-4o | 3 | 12 | 128k | 16k |
Audio Transcription Rates:
- Free Tier: 100MB file limit
- Premium (≤100min): 2760 credits/minute
- Premium (>100min): 5520 credits/minute
!Mitsuko pricing page screenshot
Usage Guide
- File Upload: Submit subtitle or audio files
- Model Selection: Choose preferred AI engine
- Custom Instructions (Optional): Provide specific guidance
- Processing: Automatic translation/transcription
- Result Download: Receive processed files
Competitive Advantages
- Superior Quality: Outperforms conventional machine translation
- Context Retention: Maintains narrative continuity
- Flexible Pricing: Pay-as-you-go credit system
- Model Variety: Multiple AI engine options
Limitations
- Credit Costs: Premium models require significant credits
- Learning Curve: Advanced features need familiarization
Case Study
Original Subtitle (Angry character context):
もう我慢できない！
Mitsuko Translation (Context-aware):
I've had enough of this!
Generic Translation (Literal):
I cannot endure anymore!
Support Services
- Community Support: Join Discord community
- Developer Resources: Access GitHub repository
- Customer Service: Contact via website
Frequently Asked Questions
<faqs> <faq index="1" question="Which subtitle formats does Mitsuko support?">Supports SRT and ASS formats.</faq> <faq index="2" question="How to optimize translation quality?">Use custom instructions for specific requirements.</faq> <faq index="3" question="How are credits calculated?">Based on input/output tokens with model-specific rates.</faq> <faq index="4" question="What's the transcription accuracy?">Delivers frame-accurate subtitle synchronization.</faq> <faq index="5" question="Does it support multilingual translation?">Yes, depending on selected model capabilities.</faq> <faq index="6" question="How does context extraction work?">Gathers context from multiple media sources.</faq> <faq index="7" question="Is there a free trial?">Yes, with file size limitations.</faq> </faqs>
Comments