What Is Local Translation?

Local translation is MAITO’s standout feature - the ability to translate text completely offline using AI models running on your own computer. No cloud, no internet, complete privacy.

The Big Picture

Traditional translation services work like this:

1. You type text
2. App sends text to cloud servers
3. Cloud server translates
4. Translation comes back to you

MAITO’s local translation works differently:

1. You type text
2. AI model on YOUR computer translates it
3. Translation appears instantly
4. Nothing leaves your computer

What Makes It “Local”?

“Local” means everything happens on your computer:

On Your Computer:

• Translation model files (2-8GB)
• Translation processing
• Your text data
• Results

NOT Sent to Cloud:

• Your source text
• Your translations
• Your usage patterns
• Any personal data

How It Works (Simple Version)

1. Download Model: One-time download of AI translation model (2-8GB file)
2. Load Model: When you start MAITO, model loads into your computer’s memory
3. Translate: When you request translation, your CPU/GPU processes the text through the model
4. Output: Translated text appears, generated entirely by your computer

Think of it like: Having a professional translator living in your computer, always available, never talking to anyone else.

The Technology Behind It

Large Language Models (LLMs)

Local translation uses Large Language Models - the same technology powering ChatGPT and other AI assistants, but running entirely on your computer.

What Are LLMs?

• Neural networks trained on massive amounts of text
• Learned patterns of language across 32+ languages
• Can understand context and meaning
• Generate fluent, natural-sounding translations

ONNX Format

Models use ONNX (Open Neural Network Exchange):

• Industry-standard AI model format
• Optimized for fast inference
• Compatible with Windows hardware
• Supports both CPU and GPU acceleration

Rosetta Models

MAITO uses Rosetta - custom models optimized by Pangaia Software:

• Specifically trained for translation (not general chat)
• Trained on 32 languages
• Smaller size (2.5GB) than general-purpose models
• Faster inference speeds
• Better translation quality than generic models

What Happens During Translation

Let’s trace a translation step-by-step:

Step 1: Text Input

You type or paste: “Hello, how are you?”

Step 2: Text Preprocessing

• Text is broken into tokens (chunks)
• “Hello, how are you?” → [“Hello”, ”,”, ” how”, ” are”, ” you”, ”?”]
• Each token gets a number (tokenization)

Step 3: Model Processing

• Tokens fed into neural network
• Model processes through multiple layers
• Each layer refines understanding and generates output
• This is where the “thinking” happens

Step 4: Output Generation

• Model generates output tokens one at a time
• “Hallo”, ”,”, ” wie”, ” geht”, ” es”, ” dir”, ”?”
• This is why you see streaming translation

Step 5: Display

• Tokens converted back to text
• “Hallo, wie geht es dir?”
• Appears in MAITO’s output panel

Total Time: Depends on your hardware (see Why Is Local Slow)

Streaming Translation

Unlike DeepL (which returns complete translations), local translation streams output:

What You See:

• Translation appears word-by-word
• Like someone typing in real-time
• Progress indicator shows estimated remaining time

Why Streaming?:

• Model generates output sequentially
• Provides immediate feedback (you see progress)
• Can cancel anytime if result is wrong
• More engaging user experience

Local vs Cloud: Key Differences

Benefits of Local Translation

1. Complete Privacy

• Translate confidential business documents
• Work with sensitive personal information
• No data ever sent to cloud
• Perfect for GDPR/compliance requirements

2. Zero Ongoing Cost

• No per-character fees
• No monthly subscriptions
• Unlimited translations after model download
• Perfect for heavy users

3. Works Offline

• Translate on planes, trains, anywhere
• No internet dependency
• Reliable even with poor connectivity
• Great for travelers

4. Instant Availability

• No API rate limits
• No quota management
• No authentication issues
• Always works when you need it

5. Data Sovereignty

• Your data stays in your jurisdiction
• No third-party access
• You control the model and data
• Important for regulated industries

Limitations

1. Hardware Dependent

• Performance varies by computer specs
• Slower on older/low-end systems
• Requires 4GB+ RAM minimum
• Best with 8GB+ RAM and modern CPU

2. Initial Setup

• Must download 2-8GB models
• Takes 5-10 minutes on first setup
• Requires disk space for models

3. Quality Trade-offs

• Very good, but not quite as polished as DeepL
• Best for general understanding
• May need review for professional/published content

4. Text Only (Currently)

• Cannot translate documents with formatting
• No DOCX/PDF support (yet)
• Workaround: Drag-drop to extract text

5. Seamless Text Chunking

• MAITO intelligently splits longer texts
• Chunks at sentence/paragraph boundaries (never mid-sentence)
• Completely transparent to users - no practical text length limit

Who Should Use Local Translation?

Perfect For:

✅ Privacy-conscious users

• Lawyers, doctors, therapists
• Anyone handling sensitive information
• GDPR-compliant businesses

✅ Heavy translators

• Translate thousands of words daily
• Want zero per-translation costs
• Need unlimited usage

✅ Offline workers

• Frequent travelers
• Remote area residents
• Poor internet connectivity

✅ Budget-conscious users

• Students
• Personal use
• Want to avoid monthly fees

Consider DeepL Instead If:

• You need professional-grade quality for publications
• You translate documents frequently (DOCX, PDF)
• Your computer doesn’t meet minimum specs
• You want consistent speed regardless of hardware
• You rarely translate (low usage)

The Future of Local Translation

Local AI translation represents a major shift in how translation technology works:

Old Model: Centralized cloud services, pay-per-use

New Model: Decentralized local AI, own your tools

As hardware improves and models become more efficient:

• Translation quality will improve
• Speed will increase
• Model sizes will shrink
• More features will be added

MAITO is at the forefront of this revolution, bringing enterprise-level AI translation to everyone’s desktop at a fraction of the costs (one-time very affordable purchase, that’s it).

What’s Next?

Learn more about local translation:

• Verify No Data Is Sent - Prove offline operation yourself
• Configure Local Translation - Set it up
• DeepL vs Local - Detailed comparison
• Why Is Local Slow - Performance factors
• Technical Deep Dive - For tech enthusiasts

Questions?

Common questions:

Q: Is it really 100% offline?

A: Yes! Once the model is downloaded, you can disconnect your internet and it still works perfectly. Want proof? Check out our guide: How to Verify MAITO Doesn’t Send Data - it shows you exactly how to monitor network connections and confirm nothing is transmitted.

Q: How does it compare to DeepL quality?

A: Very good for general understanding, but DeepL has an edge for professional-grade translations. See comparison article.

Q: Will it work on my computer?

A: If you have Windows 10+ (x64), 4GB+ RAM, you’re good to go. Performance improves with better hardware. See device assessment.

Q: Can I use it for commercial purposes?

A: Yes! Your MAITO license covers commercial use of local translation, and you hold the rights to all translated texts. Check licensing terms for details.