Multilingual And Hinglish Calls In DialNexa

Configure DialNexa multilingual and Hinglish calls with language selection, Soniox, Deepgram, Hinglish Map, voice choice, prompts, and transcript review.

Multilingual and Hinglish calls in DialNexa work best when language, transcriber, voice, prompt examples, and test data are chosen together. For Hindi-English calls, compare Soniox and Deepgram Flux multilingual on real recordings, then use Hinglish Map when the caller base naturally switches between Hindi and English.

Mixed-language callers do not wait for your architecture diagram. They switch languages because that is how they speak. The agent should keep up.

DialNexa Multilingual And Hinglish Call Stack

Layer	Recommended starting point	Why
Language	Hindi-English where available.	This exposes the right language-specific controls, including Hinglish Map.
Transcriber	Soniox STT RT v5 or Deepgram Flux multilingual where enabled.	DialNexa sends language hints where supported so the transcriber expects the caller language mix.
Voice	Cartesia or an ElevenLabs voice tested on your phrases.	The right text can still fail if the voice sounds formal or mispronounces local terms.
LLM model	A model that follows language instructions and functions reliably.	The model must know when to answer in English, Hindi, or Hinglish.
Prompt	Include real mixed-language examples.	The model learns the expected style from the examples you provide.

Language Selection Details

The dashboard sorts English first, Hindi second, Indian languages next, and then other languages alphabetically. That ordering keeps common India-focused Voice AI setups close to the top without hiding other supported languages.

Detail	Why it matters
Voice-specific languages are preferred where available.	The language list reflects what the selected voice can actually speak.
Voice model language lookup is used as a fallback.	Older voice metadata can still produce a useful language list.
Some unavailable languages are hidden.	Users should not be offered languages that are not ready for selection.
Deepgram Flux has English and multilingual runtime paths.	English calls use the English Flux model. Supported Hindi and mixed-language calls can use multilingual Flux with hints.

Soniox Versus Deepgram For Multilingual Calls

Need	Start with
Hinglish or Hindi-English code switching	Soniox STT RT v5 or Deepgram Flux multilingual. Compare on real recordings.
Mostly English with occasional Indian names or places	Deepgram Flux, Soniox, and Boosted Keywords for important terms.
English-only fast turn-taking	Deepgram Flux.
Non-English calls with a stable single language	Soniox. Test with real caller audio before scaling.

Do not choose a transcriber from an English demo alone. Fast and wrong is still wrong.

For Hindi-English agents, DialNexa sends Soniox the valid language hints en and hi. It does not send combined hint codes such as hi-en. For supported single-language Soniox calls, DialNexa sends the selected language code as a strict hint. For broad or unsupported language choices, it avoids strict hints instead of passing an invalid code.

Deepgram Flux multilingual uses repeated language hints rather than one combined language value. When the selected language is Hindi-English, DialNexa derives hi and en hints. When a language is unsupported or intentionally broad, Flux can run without strict hints and let the provider auto-detect among supported languages.

Hinglish Map

Hinglish Map is for phrasing, not translation of the whole agent. Use it to replace formal Hindi terms with natural mixed-language words that your callers actually use.

When Hinglish Map entries are configured, the runtime tracks the caller’s current language style on each turn. It can identify English, Devanagari Hindi, Romanized Hindi, and mixed Hinglish, then adds a language instruction before the LLM responds. After the LLM responds, DialNexa can soften formal Hindi terms with the built-in casual Hindi map plus your workspace entries before audio is synthesized.

Formal phrase problem	Better approach
Agent sounds too official for a casual reminder call.	Map repeated formal terms to conversational Hinglish.
Caller uses English nouns inside Hindi sentences.	Add prompt examples that show the same mixed style.
Voice over-pronounces English product names inside Hindi sentences.	Test another voice or voice model before adding confusing prompt hacks.

Language tracking helps the agent choose the response style. It does not change the selected TTS voice. Use a voice that can speak the language and script you expect callers to use.

Write Prompts For Mixed Language

1. Name the expected language behavior

   Tell the agent whether it should start in Hinglish, mirror the caller, or stay mostly English with Hindi support.

2. Include sample caller phrases

   Add phrases that callers actually say, including short replies, local terms, city names, and English product words.

3. Include sample agent replies

   Show the tone you want. One good example can prevent twenty awkward formal sentences.

4. Protect important terms

   Keep legal, medical, financial, or compliance terms precise. Natural language is good. Sloppy meaning is not.

Review Checklist

Check	What to inspect
Greeting	Does the first sentence sound natural in the expected Hindi-English mix?
Names and places	Do Indian names, cities, and localities transcribe correctly?
Numbers and amounts	Can the voice read rupees, dates, times, and phone numbers clearly?
Turn-taking	Does the agent wait through mixed-language pauses?
Transcript	Does post-call analysis receive the same facts the caller said?
Voice tone	Does the selected voice sound conversational rather than translated?

Common Multilingual Mistakes

Prompt is English only

The model may answer in English even when the caller expects Hinglish. Add explicit language instructions and examples.

Voice sounds formal

Use Hinglish Map and test another voice or model. The selected speaker matters as much as the text.

Variables are not language-aware

A city, plan, date, or payment amount injected through variables may need wording around it so it sounds natural.

Post-call fields depend on translated wording

Field descriptions should describe the business meaning, not the exact language used during the call.

Related Reading

Supported Transcribers

Compare Soniox and Deepgram options.

Speech Settings

Use Hinglish Map and Response Eagerness.

Text To Speech

Choose a voice that fits mixed-language calls.

Transcripts And Recordings

Audit mixed-language evidence.