Live translation your compliance team can approve. No history kept.
A company-governed speech interpreter for frontline conversations, with AI transcription, translation via your provider or ours, and spoken playback. Your glossary holds on every engine.
A company-governed speech interpreter for frontline conversations, with AI transcription, translation via your provider or ours, and spoken playback. Your glossary holds on every engine.
Trusted by frontline employers everywhere
Clear a language barrier on the floor
A push-to-talk, turn-based interpreter for the moment a manager and an associate need to understand each other.
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Hold to talk, hear it back
Speech is transcribed, translated and spoken back in the other person's language.
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One phone or two
Share one phone, or pair two phones with a short session code so each person uses their own.
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Fifteen interpreter languages
Including Spanish, Chinese, Vietnamese, Tagalog, Arabic, Hindi and Polish.
No conversation history to keep
The conversation is live, and there is no transcript history to open afterwards.
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On screen only while it's open
The transcript shows only while the conversation is open.
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Delivery, not retention
A paired turn travels to the other phone and is deleted within roughly 90 minutes.
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Only flagged phrases are kept
Tapping "Wrong?" saves that phrase for admin review, deleted 90 days after it's resolved.
Your glossary holds on every engine
Live Translate enforces your terms in MangoApps's own layer, not in each provider's glossary.
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Mapping terms
Force a preferred translation for the terms that matter, such as equipment, codes and brand names.
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Do-not-translate terms
SKUs, drug names and proper nouns stay verbatim across languages.
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Flag and fix
Anyone can tap "Wrong?", and admins turn flagged phrases into glossary terms.
One engine, on your provider or ours
The interpreter and the inline text engine both run through whatever you configure.
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Bring your own provider
AWS Translate or DeepL with your own credentials, or MangoApps's managed service with no setup.
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Inline translate in other apps
The same engine translates Chat, Recognition and voice notes, once per language.
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Usage you can see
Counts, provider mix, top languages, latency and a daily trend, from usage logs.
Results from teams like yours
Part of one app your people already use
The engine behind the interpreter also powers inline translate in Chat, Recognition and voice notes.
Questions compliance teams ask
Push-to-talk by default. On two devices you can switch on Hands-free, which listens continuously and sends each utterance when you pause. Each utterance is still translated as its own turn — not simultaneous interpretation.
No conversation record is kept. Speech is transcribed by Whisper, translated through your organization's provider or MangoApps's managed service, and spoken back; the transcript is on screen only while the conversation is open, and there is no transcript history to open afterwards. Two qualifications matter for a compliance review. In two-device mode each turn travels to the other phone over MangoApps's shared real-time message service, labeled with your organization's ID, and is deleted within roughly 90 minutes — until then it holds the turn's text and audio, no screen in the product reads it, and one-device mode never uses it. And tapping "Wrong?" on a turn deliberately saves that phrase and its translation to an admin review queue so an admin can correct the glossary; it is deleted 90 days after an admin resolves or dismisses it. Inline text translation is cached once per language for reuse.
Your own when an admin connects one — AWS Translate or DeepL, configured with your own credentials per tenant as a translation integration. Otherwise it uses MangoApps's managed translation service. Speech recognition (Whisper) and the spoken voice always run on MangoApps's OpenAI account. The interpreter and the inline text engine both run through whatever you configure. If your own provider fails, the turn fails rather than send your words to another engine; if MangoApps's managed service fails, the turn or text retries once on MangoApps's language model.
Terms are enforced in MangoApps's own layer, not each provider's native glossary. Before translation, each matched term is swapped for an inert sentinel token the engine won't translate; after translation, the token is restored to your target term (mapping) or the original (do-not-translate). The same OSHA code, SKU, or drug name holds identically across AWS, DeepL, and the LLM.
Fifteen — English, Spanish, French, German, Portuguese, Italian, Chinese, Japanese, Korean, Arabic, Hindi, Russian, Vietnamese, Tagalog, and Polish. The glossary starter packs ship en→es.
No — Live Translate is the spoken interpreter. The same translation engine also powers inline translate in Chat, Recognition and voice notes, which are part of those apps, and the company glossary applies to recognition posts and voice notes too. Broadcast text messages and push, the broadcast Translate drawer, broadcast voice calls and News Feed reader translation use the same glossary.
At /admin/translation/analytics you get counts, provider mix, top languages, latency, and a daily trend — aggregated from usage logs, not conversation text. The one exception is a phrase someone taps "Wrong?" on. It goes to the review queue at /admin/translation with the flagger's name, the original, and how it came out, and it stays in the analytics' most-flagged phrases after the flag is dismissed — until it is deleted, 90 days after an admin resolves or dismisses it. "Wrong?" is on every translated turn — both people's turns on one shared phone, and every translated turn on both phones in two-device mode — so a flag can be words the other person said. On one shared phone the flag is filed under whoever is signed in, whichever person tapped it.
Yes. Anyone can tap "Wrong?" to flag a translation; admins review flagged phrases at /admin/translation and turn them into glossary terms. Three industry starter packs — warehouse safety, retail ops, and healthcare facilities — give admins a governed baseline to build on.
See what MangoApps can do for your frontline
Every team. Every employee. Every workflow. One AI platform — built for the frontline. Since 2008, trusted by 2 million+ users with an NPS of 78.
Rolled out to every employee at AutoZone (125,000), PetSmart (50,000+), A.S. Watson and Raley's (20,000) — and at larger retailers we are not permitted to name.
Prefer to explore first? Ask AI about Live Translation for Frontline Teams →
- Within one business day: a solutions consultant asks about your workforce and what you run today.
- The demo shows your use case: your sites, your frontline roles, your systems.
- It ends with your price: the package and the price for your employee count, not a generic quote.












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