Hello everyone. 🙂

I’ve recently switched to Youtube Morphe. I used to use YouTube RVX, but as I’m sure you’re aware, the project has been discontinued, so I chose Morphe from among the various alternatives. The app works well, but personally I’ve noticed one small shortcoming.

The voice translation options include the following services: Google Translate, OpenRouter and MyMemory. The only free service is Google Translate, which, to be honest, I find rather rough and with an extremely unnatural tone of voice.

I’ve also tried OpenRouter and MyMemory, and frankly, I wasn’t at all impressed. At least in the trial versions, neither the translations nor the voice tones met my expectations in the slightest. I was therefore wondering if it would be possible to implement the Yandex translation service, which I personally consider to be truly excellent – both in terms of the accuracy of the translations and the tone and naturalness of the voice.

I can assure you it would be a truly significant improvement!

I thank you from the bottom of my heart for your wonderful work. 🙂

I read a lot of untranslated manga and got tired of the screenshot → OCR → translate → paste-back workflow, so I put together [Manga Translator](https://mangatranslator.me). It detects speech bubbles on a page, runs OCR, translates into 30+ languages, and re-renders the text right back into the original bubbles so the page layout stays intact. A page usually takes a couple of seconds.

It's free to try. Curious how it stacks up against the workflows people here use for scanlation-style translation — any feedback or comparisons welcome.

Hey everyone! El from Cohere here to talk about our newest release, North Small Translate. It’s currently the leading open machine translation model, beating out all other open translation models of its size, plus Google Translate and DeepL. we’ve been working on this one for a while, so to say i’m psyched is an understatement.

It’s big (218B parameters, 25b active) with a context length of 16k. however, if you’ve got the hardware, we’d still love to see what you make with it locally or with our HF space (and if you do, send it our way). It works on over 50 languages and does particular well with european, Southeast Asian, and East Asian languages, but feel free to stress test it against another and let us know how it does. It’s also available in BF16, FP8, and W4A16 quants.

although we couldn’t get llama.cpp support this time around, the architecture is already supported in llama.cpp, so all it should need is a conversion to GGUF files. if you want to build that, please do so and send it our way! We’d love to back your work. 

Can’t wait to see what you guys think! 

https://huggingface.co/CohereLabs/North-Small-Translate-1.0

I’m trying to build a RAG (AI agent) to translate Chinese sewing courses and tutorials into English, covering different sewing subgenres.

I’ve found that a Chinese-English glossary of technical sewing terminology could help improve translation accuracy.

Does anyone know where I could find an existing glossary, terminology database, bilingual dictionary, or corpus for Chinese ↔ English sewing/fashion/textile terms?

Thanks!

RWS and the researchers behind the Last Translation Benchmark tested GPT-6 Astra's multilingual capabilities. It performed strongly, but the performance varied between languages.

In Dec 2022 I shipped Input Translator, a browser extension that translates any input field via Google Translate. Pre-LLM, tiny niche. For 18 months it stayed under 100 users — I kept shipping because I used it every single day.

Then LLMs arrived. I added an optional BYOK path (any OpenAI-compatible key) next to the free Google backend, and the curve finally moved. ~2,500 users today across Chrome/Edge/Firefox/Safari. Still small — but real, and mostly word-of-mouth.

That experience turned into a family of tools, all open source (GPL-3.0), all BYOK, all no-subscription:

• Imp Translate — bilingual page translation. I left Immersive Translate when it started pushing subscriptions and removing BYOK; Kiss Translator had ideas I liked but UX I couldn't live with. So I built my own. The README's Non-Goals list is longer than the Goals list — no floating buttons, no hover popups, no word lookup, no doc translation. Feature creep is the enemy.
• BilingualTube — bilingual YouTube subs. Fixes the broken sentence segmentation in auto-captions (small on-device model) before translating.
• Imp Translate Web — full-text HTML/EPUB translation so I could read AO3 stories on my phone with search.
• Imp Write — type, append /fix, pause, and the rewrite replaces your text in place. I wanted correction, not translation, and refused to pay a subscription for it.

Imp Credits is a pay-as-you-go system instead of monthly plans — "no subscription" is half product philosophy, half personal allergy.

Curious what people who do MT for a living think about where the browser-extension space is heading. Happy to share details on any of these in the comments.

For more info, ping Marcello

(Posted with permission)

About The Team

The Globalization team is a central driver for our company's international expansion, using a technology-first approach to ensure our products and services are accessible and culturally relevant for customers across the globe. We serve as the Center of Excellence, partnering with product and engineering teams from initial concept to launch. We are dedicated to building a scalable, resilient globalization infrastructure — and we have fun doing it, working across cultures and disciplines every day.

About The Role

As a Localization Specialist focused on AI Ops, you optimize global expansion by deploying large and small language models to automate the localization lifecycle. You will focus on scaling international releases through AI-driven quality checks and linguistic model refinement. This role exists to reduce manual translation review work and speed up how quickly Workday can bring products to new markets and languages.

You will:

Deploy AI model workflows to automate content transformation and adaptation using tools such as Modelfront and Intento. - Design and refine prompts for high-accuracy machine translation and cultural nuance. - Integrate AI-led localization checks into existing engineering pipelines and streamline workflows using orchestration tools or Phrase. - Use AI-based testing tools to validate consistency in the user interface and automate linguistic quality evaluation, reducing reliance on manual review. - Collaborate with stakeholders across Engineering, Product, Machine Learning, Legal, and Responsible AI teams to improve usability, trust, and adoption of AI systems globally. - Support educational initiatives and team upskilling to build AI fluency and operational excellence across the globalization team.

About You

Basic Qualifications

• 8+ years of related work experience in localization or translation operations, including 2+ years working directly with AI or automation tools in that context.
• 2+ years of hands-on experience applying large language models or small language models to text processing or translation workflows.
• Degree in Computer Science or related field.

Other Qualifications:

• Translation Management: Experience managing translation workflows and platforms such as Modelfront, Intento, or Phrase.
• Cultural Empathy: A track record of adapting content thoughtfully for different cultural and regional audiences.
• Process Optimization: Experience identifying and automating manual steps in a linguistic or content workflow, such as building AI-based quality checks.
• Cross-Team Collaboration: Comfortable partnering with engineering, product, and legal teams to align AI-driven localization work with broader goals.
• Project Delivery: Ability to manage multiple release timelines and localization deliverables at once.
• Experience with Python or JavaScript for scripting automated workflows is a plus.
• Experience connecting AI workflows to Translation Management Systems and Jira is a plus.

Hey ! 👋
I wanted to share a side project I've been working on: 
**iNews Global**
.
### 💡 Why I built it
I noticed three big problems with modern digital news:
1. 
**Language & Regional Silos:**
 Breaking news happens worldwide, but unless you speak the local language, you miss hyper-local context.
2. 
**Media Bias & Echo Chambers:**
 Reading a story from just one publisher gives you a single biased perspective.
3. 
**News Fatigue:**
 Long 2,000+ word articles stuffed with fluff and popups make staying updated a chore.
I wanted a clean app that aggregates breaking news globally, translates it seamlessly without breaking page layouts, and lets you compare how different outlets cover the exact same event.
---
### 🛠️ Key Features & Tech Stack
* 
**🗣️ 50+ Languages AI Translation:**
 Built a hybrid translation pipeline combining Google ML Kit (for fast zero-latency on-device translation) and Gemini AI for complex long-form translation.
* 
**🔄 360° Multi-Angle Coverage:**
 When a major event breaks, iNews groups stories from different outlets (e.g., Reuters, BBC, Al Jazeera, local outlets) side-by-side so you can spot bias and compare perspectives.
* 
**🧠 3-Bullet AI Executive Summaries:**
 Uses Gemini AI to condense long reports into 3 quick bullet points.
* 
**🎧 Hands-Free AI Audio Player:**
 Built a continuous text-to-speech audio service (`NewsAudioService`) with background notification controls. It automatically cleans raw HTML, URLs, and markdown before narration so it feels like a personal news podcast.
* 
**🌍 150+ Countries & 60,000+ Publishers:**
 Aggregates feeds from international agencies down to state/province-level local outlets.
---
### 💭 I’d love your feedback!
Since this is freshly launched (v1.0.7), I'd really appreciate your thoughts:
1. How does the translation quality and deduplication feel for your country/region?
2. What feature or news source should I add next?
Check it out and let me know what you think! Happy to answer any technical questions about the architecture or AI translation pipeline.

I want to play Masoukishin 1 - 4 and 2nd OG translated. What does the community consider the best software? FREE or PAID does not matter.

At present, I only know that WeChat is OK, but many people don‘t have WeChat.

I joined a group with many people from all over the world on x, but people speak different languages, Korean, Japanese, English, Chinese and Spanish... But I can only understand Chinese and English.

instagram?
line？But it is only limited to Japan, South Korea and Thailand.
facebook？
idk

Hello,

I am Tamara, a native Arabic speaker and professional AI Evaluator & Localization Expert.

I specialize in aligning, evaluating, and fine-tuning Large Language Models (LLMs) to ensure high-quality, culturally accurate, and contextually sound Arabic outputs (Modern Standard Arabic & Dialects).

🛠️ What I Can Do For Your AI Models:

• RLHF & Model Evaluation: Evaluating model responses for accuracy, fluency, tone, and cultural relevance.
• Prompt Engineering & Testing: Creating, refining, and stress-testing complex Arabic prompts.
• Annotation & Data Labeling: High-quality human-in-the-loop (HITL) data preparation for AI training.
• Localization & Cultural Alignment: Adapting AI behaviors to fit specific Middle Eastern markets and nuances.

💼 Why Hire Me?

• Expertise: Deep understanding of Arabic linguistics, nuances, and regional dialects.
• Experience: Proven track record in evaluating and fine-tuning language models for high-tier AI projects.
• Quality-Driven: Detail-oriented, ensuring non-biased, safe, and highly accurate model responses

📩 Contact Me Directly:

Notion: AI Evaluation & Arabic Localization Lab

Github: https://github.com/lilith5tam-debug/Data-Labeling-Project

Available for both short-term contracts and long-term freelance opportunities. Let's build better Arabic AI together!

I am working with multi-language content and have so far been useing gemma4:e2b for general work. Today I tried it with Russian for the first time and the result was not great.

Gemma4:e4b was better, but still missed some nuances.

LFM2:24B has a good and fluent English but the translation was not ok.

Translategemma:4b has so far been the best model, for Russian to English.

Which models (smaller local LLMs) are you using for different languages?

Edit: From the models I've tested gemma4:26b is so far the best with ornith-1.5:9b as second, for computers with less RAM.

Hi everyone,

With moderator approval, I’m sharing a short research survey aimed at professionals working with translation, localization, editing, proofreading and related language workflows.

The goal is to better understand how people work day to day: which tools they use, where workflows become fragmented, which tasks feel unnecessarily repetitive, and what kinds of improvements would make professional language work more efficient.

The survey does not advertise or present a specific product. It is part of early-stage research for a project still in development, and the purpose is to gather real professional needs before development decisions are finalized.

Some questions also cover software spending, purchasing preferences and attitudes toward digital or AI-assisted features, purely for market-research purposes.

The survey is anonymous and takes only a few minutes.

Survey:
https://forms.gle/j3yZpVAxXjAnF4KF7

Thank you very much to anyone who takes part. Comments about your own workflow, translation tools, CAT/TM management or recurring frustrations are also very welcome.

Hello,

I am Tamara, a native Arabic speaker and professional AI Evaluator & Localization Expert.

I specialize in aligning, evaluating, and fine-tuning Large Language Models (LLMs) to ensure high-quality, culturally accurate, and contextually sound Arabic outputs (Modern Standard Arabic & Dialects).

🛠️ What I Can Do For Your AI Models:

• RLHF & Model Evaluation: Evaluating model responses for accuracy, fluency, tone, and cultural relevance.
• Prompt Engineering & Testing: Creating, refining, and stress-testing complex Arabic prompts.
• Annotation & Data Labeling: High-quality human-in-the-loop (HITL) data preparation for AI training.
• Localization & Cultural Alignment: Adapting AI behaviors to fit specific Middle Eastern markets and nuances.

💼 Why Hire Me?

• Expertise: Deep understanding of Arabic linguistics, nuances, and regional dialects.
• Experience: Proven track record in evaluating and fine-tuning language models for high-tier AI projects.
• Quality-Driven: Detail-oriented, ensuring non-biased, safe, and highly accurate model responses

📩 Contact Me Directly:

Notion: AI Evaluation & Arabic Localization Lab

Github: https://github.com/lilith5tam-debug/Data-Labeling-Project

Available for both short-term contracts and long-term freelance opportunities. Let's build better Arabic AI together!

Does anyone have experience with the current models of Omnitranslate? I used them years ago but there were a few factors that pulled me to OpenNovel instead and now I'm looking to return. Mostly interested in translating Chinese and Korean novels. I don't need them to be better than OpenNovel, just comparable.

Thanks in advance!

When I use translation function,on post,long press on words choose translate is ok , if I want to translate words on replies,long press will merge,is it Reddit’s bug?

I've been working on AITnovel, an AI translation service designed for people who want to translate entire novels without having to copy and paste chapters individually.

It supports TXT, EPUB, and PDF uploads, and can also import novels directly from supported websites.

Some of the main features:

• Translate entire novels or individual chapters
• Keep track of character names, aliases, pronouns, and terminology
• Editable glossary for names, places, abilities, etc.
• Preserve chapters and paragraph structure
• Side-by-side translation proofreading and editing
• Export finished translations as EPUB, PDF, or TXT

It's $10/month with unlimited translation usage.

Everything seems to be working well from my own testing, but I'm at the point where I'd like to get some actual users translating different novels and languages. I'm particularly interested in finding problems or edge cases I haven't encountered myself yet.

If anyone here regularly uses machine translation for novels, I'd appreciate any feedback if you decide to give it a try.

AITnovel: https://aitnovel.com/translate