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TransMon Speech Engine

Speech-to-text built for real calls

Loud, fast, multilingual conversations in — clean, structured transcripts out.

Real call audio Code-mixed speech Live + batch Stable JSON
Live transcription Hindi · 8 kHz call
Customer00:04
Mera order abhi tak deliver nahi hua hai.
Agent00:09
Ji sir, aapka order number hai 4815.
language auto-detected  ·  speakers tagged  ·  JSON ready
Language Support

Built for the way people actually talk

Real conversations are multilingual, code-mixed, and unpredictable. TransMon understands them automatically—without manual tagging or language selection.

Speech input · tap a language
Transcript मेरा ऑर्डर अभी तक डिलीवर नहीं हुआ है

Learned from real-world conversations — phone-line quality, regional accents, background noise and all.

Comfortable with Hinglish and the code-mixed, multilingual speech people actually use — not textbook monolingual audio.

Spots the language on its own, so you never have to declare it before a conversation comes in.

Speech Capabilities

Everything a transcript needs, in one engine

From raw call audio to structured, analysis-ready output — handled end to end.

95%+accuracy on noisy, real-world call audio

High-accuracy transcription

Holds up where it matters most — crosstalk, background noise, and weak phone lines.

Real-time streaming & batch

One engine for live calls and recordings alike.

Live · WebSocket Batch · REST API

Speaker diarization

Knows who said what.

AgentCustomer

Statement & chunk timestamps

Every statement carries its own start and end time.

"…order abhi tak deliver nahi…" 00:04 – 00:08"…order number hai 4815" 00:09 – 00:12

Language detection & control

Let the engine auto-detect the language, or pin it when you already know.

⌖ Auto HindiEnglishHinglishBengaliTamilTeluguMarathiGujaratiKannadaOdiaAssameseMalayalam

Schema-stable JSON output

The same response shape every time — no parsing surprises downstream.

{
  "text": "…aapka order number hai 4815",
  "lang": "hi", "speaker": "agent",
  "words": [ … ]
}
Use Cases

From live conversations to everything that happens after

Batch

After-call processing

Run finished order and support calls through TransMon to surface insights, sharpen quality, and feed your analytics and compliance pipelines.

Where it fits
  • Recorded order & returns calls
  • Sales and support reviews
  • QA and coaching programmes
  • Compliance record-keeping
Why it works
  • Economical at high volume
  • Uniform transcript structure
  • Drops straight into your tools
Batch queueREST API
order_4815_return.wavDone
delivery_delay_2207.wavDone
refund_status_9043.wavProcessing
Real-time

Live voicebots

Power voicebots and shopping assistants that have to follow the customer the moment they speak, with low-latency streaming transcription.

Where it fits
  • Order-tracking voicebots
  • IVR that understands in real time
  • Conversation-driven automation
  • On-the-fly intent routing
Why it works
  • Minimal transcription lag
  • Copes with interruptions
  • Keeps speaker turns clear
Live streamWebSocket
"Where is my order, it was due yesterday"
streaming · ~280 ms latency
Output Modes

Analyze every interaction from the angle that matters most.

Audio In Hindi call
order_call_4815.wav
Output Transcribe
"Sir, aapka order number hai 4815."

Clean, formatted text with numbers normalised — ready to store and analyse straight away.

Run one — or stack several modes in the same pipeline.

Start with speech you can actually rely on

Drop TransMon into your contact centre, voicebots, and analytics — and stop wrestling with messy, inconsistent audio output.