Building a Manga Translator Taught Me Something Unexpected About Reading
When I first started building a manga translator, the goal seemed straightforward:
Take Japanese text → translate it → show the result
Like most developers, I approached it as a technical problem.
Improve OCR
Improve translation quality
Optimize speed
And for a while, that seemed enough.
The First Version Worked (Technically)
The initial version was a simple web tool:
Upload a manga page
Run OCR
Translate the text
Output a processed image
From a functionality standpoint, it worked.
You could take a raw manga page and understand it.
But Something Felt Off
Even when the translation was accurate, the experience wasn’t great.
It felt:
Slow
Disconnected
Slightly unnatural
You weren’t reading anymore.
You were operating a tool.
The Real Bottleneck Wasn’t Accuracy
At first, I thought the issue was translation quality.
Maybe the model wasn’t good enough. Maybe OCR needed improvement.
But even after improving those, the core problem remained.
That’s when I started to realize: The issue wasn’t how well the text was translated.
It was how the experience felt.
From Translation to Reading
Manga isn’t just text.
It’s:
Layout
Flow
Timing
Visual structure
When you read manga, you don’t process it line by line like a document.
You experience it as a whole.
And most translation tools ignore that.
Why I Built a Chrome Extension
To reduce friction, I built a Chrome extension version.
Instead of:
- Screenshot → upload → translate
You could:
- Translate directly while reading
This improved one thing significantly: Speed of interaction
But It Introduced New Constraints
Running translation inside the browser came with trade-offs:
Limited rendering control
Performance constraints
Inconsistent page structures
And once again, I ran into a familiar problem:
The system worked, but the experience wasn’t quite right.
Two Approaches, Two Trade-offs
After building both versions, the difference became clear.
Browser Extension
Fast
Convenient
Always available
But limited in how deeply it can process images.
Full Image-Based Translator
More accurate
Better layout preservation
Cleaner output
But requires more steps.
What Actually Matters
At this point, the question changed.
It was no longer: “How do I build a better translator?”
It became: “How do I make reading feel natural again?”
A Small Shift in Perspective
Most tools in this space focus on:
Translation accuracy
Model performance
Processing speed
But users care more about:
Flow
Readability
Not being interrupted
That shift changes how you think about the problem entirely.
What I Learned From This
Building a manga translator ended up being less about translation itself, and more about experience design.
The goal isn’t: “Show translated text”
It’s: “Remove the friction between the reader and the content”
Where Things Are Headed
We’re starting to see a transition:
From:
- Tools that require interaction
To:
- Systems that fade into the background
Where translation becomes part of the reading experience, not a separate step.
If you're curious about the difference between the two approaches:
https://ai-manga-translator.com
What surprised me the most is this:
The hardest part of building a manga translator isn’t translation.
It’s understanding what “reading” actually means.
