I’m an indie publisher who spent a decade translating my own books because I couldn’t afford professionals. I tried every machine translation tool I could find - none of them came close to being publishable, and I spent just as much time fixing their output as translating it on my own.
So I built BookTranslate.ai, a translation tool designed specifically for full books. It uses a self-correcting multi-pass processing to produce near-perfect results - requiring only small, nitpicky edits before publication.
I’m now looking to connect with authors, translators, and publishers who want to work faster without sacrificing quality.
Happy to share details or answer anything you’re curious about.
This is incredibly impressive, Balint. As someone who’s seen firsthand how machine translation often falls short—especially with the nuance and voice required in book-length texts—what you’ve built sounds like a real breakthrough. The idea of a self-correcting, multi-pass system tailored specifically for books is both ambitious and much needed.
I'd love to learn more about how it handles stylistic consistency and cultural nuance across genres. Also curious if you’re looking for beta users or collaborators on future iterations.
Thank you! Yep it really is a genuine leap forward - its still in the too good to believe category 😅 It handles that nuance surprisingly well. There is a book analysis that runs before translation begins, which generates a huge set of translation instructions to the downstream AI.
The book analysis generates an entire literary analysis for the book: it creates "Overall Book Guidance" as well as something called "Authorial Stylistic Fingerprint" and section-specific instructions. These then are fed into the prompt that guides the translation and proofreading AI, so during the text processing the downstream AI has a full context and a very good idea about what kind of text it's dealing with and how to handle it.
Which LLM did u find was best at summarization?
I know gemini 2.0 flash is cheap too but not sure how it compares in quality.
Did you have to make some trade offs when picking a model?
I'm using Gemini 2.5 pro for that. Honestly even if I make it read a full book for the preprocessing, or I make it read the translated AND the original version, it's still surprisingly cheap since its an one-time API call. Unfortunately Gemini's latency is insane, takes minutes to respond, but it's still the only one with such a massive context window that it can handle this use case.
absolutely brilliant! this is a game changer for indie authors and publishers
And non-profit educational orgs too! So many people who couldnt afford until now will be able to publish genuinely high-quality translations without blowing their entire budget. Would be nice to be able to contribute to that.
great work .
<3 thank you!
🔍 BookTranslate.ai Website Audit — Sales Sentience Style
💬 Feedback request for: https://www.booktranslate.ai — no affiliation
Executive Summary
BookTranslate solves a clear and valuable problem. The promise is strong and easy to grasp. The page is clean but lacks buyer targeting, visual proof, and feature clarity. It has great potential with a few key adjustments.
ICP (Who You're Really Selling To)
📚 Self published authors
📖 Niche creators with long form written work
🌍 Non English authors entering global markets
❌ Not designed for publishers or rights managers
Atomic Website Profile
Profile type is Vision Driven Founder with Strategic Connector traits
Wants to scale their story
Cares about quality and creative control
Needs confidence the translation respects tone and meaning
Page Commentary
Hero line is clear and benefit led
Subtext is concise but lacks emotional resonance
Explainer is minimal
No samples of translation output
CTA is active but unsupported
SEO Check
Minimal content
No keyword structure
No blog or authority layer
Page likely not ranking for core terms like translate book to English
Missed Conversions
No pricing or range
No side by side translation sample
No testimonials or quality validation
No explanation of translation engine or editing process
SWOT
Strength is clarity of purpose
Weakness is lack of proof and trust
Opportunity is wide open in multilingual indie author market
Threat is from generic AI tools or localization agencies with deeper case studies
Buyer Insight
Ideal users are emotionally invested in their books
They want scale but fear losing meaning
Trust is the make or break factor for conversion
Site Personality
Practical
Helpful
Quietly ambitious
Conversion focused
Emotionally restrained
What’s Working
Simple message
Focused niche
Direct value proposition
Strong name and domain match
What’s Missing
Proof of quality
Pricing transparency
Translation samples
Author success stories
Trust building visuals
Key Conflicts
Clear value but unclear process
Creative audience meets transactional layout
Urgency CTA without emotional safety
Top 5 Fixes
Add a before and after page sample
Show a client review or author success story
Explain how quality is ensured
Add starting price or pricing tiers
Include SEO structure and keywords for discoverability
Who This Is For
If you’ve written a book and want readers in new markets BookTranslate turns your words into fluent local editions while preserving your voice
Closing Summary
The idea is excellent and the market is real. The site needs emotional safety trust signals and proof. Add those and BookTranslate becomes a go to tool for international author growth.
This got half of the info wrong 😅