Live Translation Your Compliance Team Can Actually Approve
A company-governed speech interpreter for frontline conversations: AI transcription, translation via your provider or ours, spoken playback. No history is kept; your glossary holds on every engine.
What Live Translate Helps You Do
Interpret On The Floor
Push-to-talk, turn-based speech interpreter for the moment a manager and an associate need to clear a language barrier. Two people share one phone, each holds a button to talk and hears the other spoken back in their own language.
Pair Two Devices
Single-device mode for sharing one phone, or pair two phones with a short session code so each person speaks and listens on their own device. Neither mode keeps a conversation record — one device saves no conversation text unless someone taps "Wrong?", and a paired turn travels to the other phone over MangoApps's shared real-time message service, labelled with your organization's ID, and is deleted within roughly 90 minutes.
Same Engine Beyond The Interpreter
The engine behind the interpreter also powers inline translate in Chat, Recognition and voice notes, which are part of those apps — each message is translated server-side once per language and cached, so it isn't re-translated for every reader.
Run Your Own Provider
Plug in AWS Translate or DeepL with your own credentials per tenant, or run on MangoApps's managed translation service with no setup. The interpreter and the text engine both run through whatever you configure.
Govern The Glossary
An admin glossary maps your terms and pins do-not-translate terms — OSHA codes, SKUs, drug and brand names — enforced the same way across AWS, DeepL, and the AI fallback.
See Usage And Quality
Usage analytics — counts, provider mix, top languages, latency, and a daily trend — aggregated from usage logs. The only conversation text admins see is a phrase someone flags as mistranslated, shown with who flagged it.
Built To Replace Phone Interpreters And Consumer Translate Apps
A Turn-Based Speech Interpreter, Built For The Frontline Moment
Live Translate is push-to-talk and turn-based — speech in is transcribed, translated through your organization's provider or MangoApps's managed service, and spoken back in the target language. One device shared between two people, or two devices paired with a short session code. The conversation is live and there is no transcript history to open afterwards. One device saves no conversation text unless someone taps "Wrong?"; in a paired session the turn travels to the other phone over MangoApps's shared real-time message service, labelled with your organization's ID, and is deleted within roughly 90 minutes — delivery, not retention.
- Push-to-talk turns — hold to speak, hear the reply spoken in your language. Turn-based, not always-on.
- Two modes — share one phone, or pair two phones with a session code so each person uses their own device.
- Transcribe and speak back — speech is transcribed and the translation is spoken back in the target language.
- No conversation history — one device saves no conversation text unless someone taps "Wrong?"; a paired turn travels to the other phone over MangoApps's shared real-time message service, labelled with your organization's ID, and is deleted within roughly 90 minutes.
A Glossary Enforced In Our Layer, Across Every Engine
Instead of wiring each provider's native glossary — AWS Custom Terminology, DeepL glossaries, an LLM prompt, three mechanisms with three behaviors — Live Translate enforces your terms in MangoApps's own layer. Each matched term is protected before translation, then restored to your target term afterward. The same OSHA code, SKU, or drug name holds identically whether AWS, DeepL, or the AI fallback runs the translation.
- Mapping terms — force a preferred translation for terms that matter (equipment, codes, brand names).
- Do-not-translate terms — keep SKUs, drug names, and proper nouns verbatim across languages.
- Provider-independent — protect → translate → restore wraps any engine, so the rules don't drift per provider.
- Flag and fix — anyone can tap "Wrong?" to flag a translation; admins review flagged phrases and turn them into glossary terms.
Live Translate In Practice
A practical scope check: what the app covers, which controls matter, and the workflows teams usually run first.
Core workflow
Hold to talk, hear the reply spoken in the other person's language — a turn-based speech interpreter for clearing a language barrier on the floor.
Controls that matter
Governance triad: no conversation history is kept — one device saves no conversation text unless someone taps "Wrong?", and a paired turn only passes through MangoApps's shared real-time message service, deleted within roughly 90 minutes; translation runs through your own provider or MangoApps's managed service; the company glossary is enforced in MangoApps's own layer so the same rules hold across every engine.
Scope and specs
Useful specs: Interpreter languages: 15 (en, es, fr, de, pt, it, zh, ja, ko, ar, hi, ru, vi, tl, pl); Translation providers: AWS Translate or DeepL (bring your own), otherwise MangoApps's managed translation service; Glossary starter packs: 3 (warehouse safety, retail ops, healthcare facilities), en→es.
Manager-to-associate on the floor
A supervisor and a new associate share one phone, each holds the button to speak, and the conversation clears a safety question in seconds — no third party on a phone line, and no conversation history afterwards.
Inline translate in other apps
In Chat, Recognition or a voice note, a team member hits translate and reads the message in their own language — the same engine as the interpreter, translated once per language and cached so the next reader doesn't re-spend.
Admin governs the terms
An admin loads a starter glossary pack, adds do-not-translate SKUs, and turns a few flagged phrases into terms — and the rules apply identically across AWS, DeepL, and the AI fallback.
Connected To The Rest Of MangoApps
→ Chat
Inline translate lives on chat messages — read any message in your own language, translated once per language and server-cached so the same text isn't re-translated per reader.
→ Recognition
Recognition posts carry the same inline translate button — a shout-out written in one language is readable by the whole team in theirs, glossary-respecting.
→ Communications
Communications blocks translate inline with the same company glossary — company terms stay consistent across every translated block.
→ Voicenotes
Voice notes get inline translation through the same engine that powers the interpreter, with the same company glossary applied.
→ Admin Integrations
Your AWS Translate or DeepL credentials are configured once as a translation integration — the interpreter and the text engine both read the same connection.
→ AI Usage Logs
Usage analytics aggregate from the same usage log the rest of the AI platform writes to — counts, provider mix, languages, and latency. The only conversation text shown is a phrase someone flags as mistranslated.
REPLACES POINT TOOLS
One governed translation surface in place of the workaround stack
Most frontline teams clear a language barrier with an on-site or phone interpreter, a consumer translate app the compliance team can't sanction, or a single translation engine with no glossary and no governance — none of which keep the conversation inside a platform the company already governs. Live Translate folds them into one governed layer.
LanguageLine (phone / on-site interpreters)
Pay-per-minute human interpretation
- No third party on the line and no per-minute meter — a manager and an associate clear a floor question in seconds, in-app
- Always available at the moment it's needed, not after a callback queue or a scheduled on-site visit
- No recorded call and no conversation history — MangoApps keeps no recording of the conversation
Google Translate / consumer apps
Free public translation apps
- Runs through your OWN translation provider, or MangoApps's managed one until you connect yours — sanction one tool instead of prohibiting the rest
- Speech is processed by OpenAI through MangoApps's platform account, and MangoApps keeps no recording of the conversation
- Your company glossary forces the right OSHA codes, SKUs, and drug names — a consumer app guesses every time
Single-engine translation (no governance)
One MT engine, no glossary, no audit
- Glossary is enforced in MangoApps's own layer, so the same terms hold across AWS, DeepL, and the AI fallback
- Bring your own AWS Translate or DeepL credentials per tenant — not locked to one vendor's engine
- Usage analytics show counts, provider mix, languages, and latency — the only conversation text admins see is what someone flags as mistranslated
PLATFORM ADVANTAGE
Live Translate inherits everything else MangoApps already does
A point translation tool has to build, buy, or integrate each of these. Live Translate gets them for free because the platform already runs them.
Identity & SSO
Inherits your SAML/OIDC SSO, MFA, and SCIM provisioning. A frontline worker opens the interpreter with the same login they used to clock in.
Tenant boundary
Translation runs through your own provider when you connect one, otherwise MangoApps's managed service, and speech runs on MangoApps's OpenAI account — nothing crosses into a shared consumer service or another tenant's data.
No separate tool to roll out
Live Translate is part of MangoApps, so there is no separate translation app or account to roll out — an admin enables it and publishes it to the people who need it.
BYO integrations
Your AWS Translate or DeepL credentials are configured once as a translation integration — the same connection plumbing every other integration uses.
Audit-safe analytics
Usage analytics aggregate from the same AI usage log the rest of the platform writes to — counts and latency. The only conversation text admins see is a phrase someone flags as mistranslated, shown with who flagged it.
AI / Voice credit pool
Transcription, translation, and text-to-speech consumption meters through the existing AI/Voice credit pool — no separate per-seat translation bill to reconcile.
INDUSTRY FIT
Built for the floors where a language barrier is a daily operating reality
Live Translate fits any multilingual workforce, but it earns its keep where the conversation involves information a consumer app can't be trusted with — patient data, customer PII, incident details.
Manufacturing
Clear a safety or quality question between a supervisor and an associate on the floor — glossary holds the part SKUs and equipment names verbatim, and no conversation history is kept.
Warehouse & Logistics
Pick-and-pack instructions across a multilingual shift, with the warehouse-safety starter glossary keeping lockout-tagout, PPE and equipment terms consistent, and OSHA untranslated.
Healthcare Facilities
Environmental-services and facilities staff clear instructions involving patient areas — the healthcare-facilities starter glossary maps terms like shift handoff, isolation room, biohazard and sharps container; add drug and brand names as do-not-translate terms.
Retail
A manager and an associate resolve a customer or stock question at the shelf, with the retail-ops starter glossary keeping store terms like stockroom, backstock, planogram and shrinkage exact.
Hospitality
Front-of-house and back-of-house staff clear a guest request in the moment — a shared phone, a held button, a spoken reply, and no transcript history afterwards.
Construction
A foreman and a crew member confirm a safety instruction on a noisy jobsite — push-to-talk turns, your provider or ours, your governed safety glossary.
WHY MANGOAPPS WINS
One governed platform beats a translation workaround on every axis
The argument compliance, ops, and IT all share — and the one a consumer translate app or a phone-interpreter line structurally cannot answer.
Compliance can approve it
The triad compliance asks for — no conversation history kept, runs through your own provider or ours, glossary enforced in our layer — so you sanction one tool instead of prohibiting the rest.
No conversation history
Live Translate keeps no conversation record — no transcript history to open, no recorded call. One device saves no conversation text unless someone taps "Wrong?"; a paired turn travels to the other phone over MangoApps's shared real-time message service, labelled with your organization's ID, and is deleted within roughly 90 minutes.
Bring your own provider
AWS Translate or DeepL with your own credentials per tenant — optional, since translation runs on MangoApps's managed service until you connect one.
Glossary across engines
The same OSHA code, SKU, and drug name hold identically whether AWS, DeepL, or the AI fallback runs — enforced once in MangoApps's layer, not three native glossaries to sync.
Easier to deploy
Already deployed if you have MangoApps. Publish it to your employees, load a starter glossary (your own provider is optional), and a manager clears a floor conversation the same day.
Easier to use
The interpreter is part of MangoApps, where employees already sign in, and inline translate sits right on the chat, recognition, and voicenote they're already reading.
Audit by the numbers
Usage analytics give IT and compliance counts, provider mix, languages, and latency — the only conversation text admins see is a phrase someone flags as mistranslated, with who flagged it.
Customer Success
How Customers Use It
Customer Case Studies
Customer Case Studies
Customer Case Studies
Video Case Studies
Customer Case Studies
Customer Case Studies
Our frontline employees determine whether or not a customer is going to come back to the store. In order to provide a great customer experience, you’ve got to provide a great experience to your team members. If you’re not engaging with them, it’s less likely that they’re going to deliver on this, simply because they haven’t been enabled and supported to do it.
Chelsea Carbahal
VP, Community Impact and Public Affairs
Raley's Supermarkets
Frequently Asked Questions
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, labelled 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. 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 the provider fails, a spoken turn fails and the speaker tries again; inline text translation retries on the platform LLM.
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, and News Feed reader translation, use the same glossary; the broadcast Translate drawer and voice calls don't.
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 even after the flag is dismissed. In two-device mode "Wrong?" is on every turn on both phones, so a listener can flag words the other person said.
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.
Let's Talk
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.
Why Choose Us?
- Frontline AI: Governed AI for every employee and workflow.
- Top Security: HITRUST, ISO & SOC 2 certified.
- Exceptional UX: Delightful on mobile and desktop.
- Proven Results: 98% customer retention rate.
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.
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