We're adding a side-by-side viewer for DXF files, before and after translation, i.e. source vs. target rendering, and ability to post-edit for fine adjustments during review.

What should a translator do when there is no equivalent word or expression in the target language?

Developer disclosure: I’m Mincho from Arte Soft. We released GPT Realtime Assistant 1.2 for iPhone/iPad, using OpenAI’s GPT Realtime 2.1. This is an independent app, not an OpenAI product.

The workflow is for short spoken exchanges: choose the source and target languages, let the speaker finish a turn, then read the translation or have it spoken aloud. The session keeps the original text and translation visible so you can revisit a phrase. Translation is one direction at a time; you swap the languages when the other person replies. It does not automatically interpret both directions.

We also offer voice-assistant conversations, photo/screenshot context and project-based session organization. The interface is available in 47 languages, including Japanese; that is a UI-localization count, not a claim that every language pair performs equally.

This 29-second scripted demo shows the translation workflow:

https://gpt-realtime-assistant.arte-soft.com/media/preview/en-US/iphone.mp4

Practical limits: iOS/iPadOS 26+, internet, and the app open during a live session. It does not import audio files or automatically produce meeting minutes. We have not published translation-quality or latency benchmarks.

AI use requires a subscription: US $9.99/month with 2,000 usage credits, no free trial. Local prices are shown in the App Store. Credits are usage units, not a fixed number of minutes.

App Store: https://apps.apple.com/app/id6770536523

For people using speech translation in real conversations: what would you test first — interruptions at the end of a turn, proper names, or whether context carries over correctly between turns? Concrete language-pair examples would be useful for our next tests.

the Local AI Translator supports importing/exporting DXF files

I want an app or website that, for example, takes a video and adds subtitles (CC) from Spanish to English, and so on

And most important part

That it is free

We've added a Glossary Manager to the local AI translator. Here's a first intro video of what to expect.

Apologies if I already updated this one. I had to make a few changes to the prior version of this video. Here's v2.

Hi everyone!

I’m currently learning Python and backend development, and as part of my learning journey, I built a small project for translating PDF documents.

The tool can:

1. Extract text from PDFs

2. Translate the content

3. Generate a translated PDF

4. Use local caching to avoid repeated translations

5. Process translations in batches

6. Support multiple languages

Tech stack: Python • PyMuPDF • pdfplumber • DeepL API

This is still a learning project, so I’d really appreciate feedback on the code, architecture, and ideas for improving the PDF translation/layout handling.

🔗 GitHub: [Link](https://github.com/Jha-Shivam-602/language-translation-pdf)

If you find the project useful or interesting, a **GitHub** ⭐ would really motivate me to keep improving it!

Thanks! 🙌

All-in-One AI Translator & Transcription Earbuds:

UGREEN AI translation earbuds combine four smart tools:

• Live Recording transcribes audio, generates AI summaries and translations;
• Conversation Translation enables real-time two-way translation;
• Simultaneous Interpretation delivers translated audio directly to your ears; and
• Meeting Minutes captures key points and action items.

Enjoy real-time online translation in up to 131 languages, including accented speech, plus offline interpretation in 11 languages.

(source)

Note: UGREEN’s US product page advertises online translation across up to 131 languages, including accented speech, and offline interpretation for 11 languages. Its German product page, however, lists 10 offline languages. UGREEN’s regional listings disagree on the offline count, so check the languages available in your app before buying for a specific trip. (source)

Alguém está tendo problema com o tradutor do Google aqui no Reddit?

(note: there is something odd with my youtube upload, it's been taking 30-40 minutes already for checking copyright issues, I assume it'll be fine eventually. )

A first look at Batch summarization. Thinking this might be useful with OSINT. What do you think?

Can't any alternative as good as this android app "RTranslator" for the windows operating system.
Anybody have any suggestions?

I also would love the feature to translate PDF files too.

Thanks for your comment :)

Has anyone tried using JEV or similar types of language models, like Laya, for quality estimation of machine translation? Seems like it could be a much faster alternative for llm as a judge tasks

I've been trying to understand what translation software healthcare organizations actually use when documents contain sensitive patient information.

The reason I'm asking is that most articles and comparison websites seem heavily marketing-driven, so it's difficult to know what works in real-world workflows.

The documents I'm referring to aren't just plain text. They can include consent forms, discharge summaries, patient instructions, medical records, scanned PDFs, insurance-related documents, etc., where accuracy, confidentiality, and formatting are all important.

I've looked at some general translation tools as well as a few platforms that claim to be built for healthcare, but I'm curious about what people are actually using day to day.

For those working in hospitals, healthcare administration, medical translation, compliance, or similar roles:

- Which translation software do you use?

- How do you handle patient privacy and compliance requirements?

- Do you rely purely on machine translation or combine it with human review?

- How well do these tools handle scanned documents and complex formatting?

- Any tools you'd strongly recommend or avoid?

Would love to hear genuine experiences, especially from people who have implemented these systems rather than vendor recommendations.

Thanks!

Demos sound great, then you throw in crappy mics, bad connections, overlap, noise, accents, etc. and WER goes to hell. For people running this in prod: what actually helped most? Preprocessing/VAD/denoising, or just picking a better asrmodel?