The best translation in 2026

Translation tools automatically convert spoken or written language into another language. They make cross-language communication faster and more reliable.

Explore related categories

AI Dictation Apps AI Voice Agent Infrastructure Realtime Voice AI Text-to-Speech Software Transcription

AppSignal — Get the APM insights you need without enterprise price tags.

Promoted Productivity•Analytics•Developer Tools

Top reviewed translation products

Top reviewed

,

, and

cover distinct needs: end-to-end multilingual video localization with dubbing and animated subtitles; natural, reliable auto-translation for tutorials, courses, and marketing; and fast, privacy-friendly in-browser subtitle creation and burn-in. Together they suit creators and teams scaling global distribution, accessibility, and turnaround without heavy post-production or server-dependent workflows.

Summarized with AI

Showing 1-15 of 15 products

Recent launches

LocaleX streamlines app localization for Apple developers with Xcode sync, glossary/TM, and QA, ideal for bulk string translation and consistent terminology. For meetings,

SuperIntern: Always-on Meeting AI

delivers live transcription, bilingual subtitles, and structured summaries without bots. Gamers get on-screen OCR and AI overlays from

RSTGameTranslation

, translating dialogue and HUD text in real time using multiple OCR engines and model choices.

SuperIntern: Always-on Meeting AILive Notes & Translation for Every Meeting — No Bot Needed1mo ago

RSTGameTranslationReal-time screen translator for any game25d ago

See all recent launches

Forum discussions

Ploito

Why we built Lokilizer — a localization helper made by devs for devs

Hey folks

We re developers who constantly ship apps in Russian and English our native + global setup.

But every time clients asked for one more language (Spanish, Polish, Hungarian, etc.), it turned into chaos:

duplicate keys, mismatched files, broken placeholders and endless manual review

8 comments•72 views

3mo ago

FocuSee

Roast my startup idea: Pictell - A translator for image-based Text.Target audience: Multi-national teams and Multilingual nomads Problem: They spend a lot of time manually identifying foreign text on images in chats, shared documents, and websites; making communication less effective. Solution: Automatically translate text on images to your preferred language on the original images. Landing page: https://mmntm.me/pictellai Do you know of anything like this? What do you currently use to translate content on images in foreign languages What do you think of the landing page and explanations? Thanks for your time and insight provided, much appreciated!

10 comments•20 views

2yr ago

Alconost Localization

What are the most funny/misleading machine translation mistakes you've seen?Hey Product Hunters, We launched our product yesterday and received many comments about machine translation vs. human translation: https://www.producthunt.com/post... It's a topic that fascinates me and I've been collecting fun machine translation failures for a long time, let me share with you some of my faves I speak some Mandarin Chinese and that's a great language for machine translation failures 1. There is this Chinese set phrase (= to be jealous; literally to eat vinegar ), and machine translation gets it right. But if we use this phrase in a sentence Oops! This awkward moment when Are you still jealous of your ex? turns into Will you still eat the vinegar of his ex-girlfriend? 2. Another Chinese to English translation example (sorry, didn't keep the Chinese version, but I do have the Google translate screenshot): I hope you ll be beautiful in the future . Lol what? The original Chinese phrase said I hope you ll have a great ( beautiful ) future . 3. One of the key problems is that machine translation often doesn't get the context. It becomes especially serious if you translate standalone words (like UI or other short strings of text). In one of translations there was a single word wasted. It was a game context, so apparently it would mean "killed", but it could also mean "spent in vain", "drunk" and many other things. A human translator can assume the correct meaning based on other strings of this translation, or simply ask you for more details - but the machine won't. It will go for the most common version - in this case, it will be "spent". 4. Another one was when I had an article about games translated from English into Turkish - by a native speaker. I ran the finished translation through Google Translate to check stuff like links and figures in place. And I came across this: "( te bu nedenle,) oyun geli tiricileri i in yerelle tirme s recini olabildi ince ba a r tmayan bir i haline getirebilmek ad na, (tasar m s recinin en ba ndan itibaren uygulanabilecek bir tak m kurallar i eren bu listeyi haz rlad k.)" - Google Translate said "...in order to make the localization process as a headache as possible for game developers". (WAIT, WHAT??) The Turkish version actually means less troublesome as much as possible, less of a headache as much as possible , but Google translate was telling me the opposite Please share your opinion and favorite machine translation mistakes in the comments! Also, it would be great to hear your feedback about our human translation platform: https://www.producthunt.com/post... Thanks!

13 comments•53 views

4yr ago

See more forum threads

More in Voice AI Tools