Speech-to-text Built for How India Speaks
Accurate transcription across Indian languages, code-mixed speech, and real-world telephony audio. Structured output your systems can depend on, live or after the fact.
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Callveriq STT
Try it live
Tap to start recording
Drag & drop audio or click to upload
Demo works with Hindi, Hinglish & English
Speech-to-text that works the way conversations do
Callveriq STT handles real conversations - accents, noise, and interruptions - and produces structured output your systems can depend on.
Built for Indian audio conditions.
Trained on live telephony data from Indian contact centers, not studio recordings. Handles noise, accents, and poor connections reliably.
India speaks in many languages. So does Callveriq.
Code-mixed, multilingual, and regional speech is handled natively without manual language tagging per call.
One API for every stage.
Use the same API for streaming live conversations or processing recorded audio. No separate pipelines to maintain.
Output your systems can depend on.
Schema-stable transcripts that don't change structure between calls, languages, or audio conditions.
Language Support
Built for Indian languages
Indian conversations switch languages naturally. Callveriq STT handles code-mixed, multilingual speech without manual language tagging per call.
Hindi
English
Telugu
Tamil
Marathi
Speech input
Hindi
"I need help with my insurance policy"
Transcript
मुझे अपनी बीमा पॉलिसी में मदद चाहिए
Why Indian language support is different here
Trained on live telephony data from Indian contact centers, not studio recordings
Handles natural Hinglish, Tanglish, and regional code-switching, not just monolingual audio
Automatic language detection, no need to declare the language upfront per call
Capabilities
Turn conversations into reliable, structured transcripts
Everything you need from raw audio to production-ready output in a single API.
High-accuracy transcription
Up to 95%+ WER on noisy Indian call-centre audio
Real-time streaming & batch
WebSocket for live calls, REST API for recordings
Speaker diarization
Automatically label each speaker across multi-party calls
Utterance-level timestamps
Know exactly when each word was spoken, to the millisecond
Language detection & control
Auto-detect or pin the language for consistent output
Schema-stable JSON output
Predictable structure every time — no parsing surprises
Use Cases
Applied across live conversations and post-call workflows
Batch
Post-call processing (Batch)
Process conversations after they end to unlock insights, improve quality, and power analytics and compliance workflows.
Common scenarios
Contact center call recordings
Sales and support audits
QA and coaching workflows
Compliance archives
Why it works
Cost-efficient at scale
Consistent transcript structure
Easy downstream ingestion
Real-time
Real-time voicebots
Support voicebots and conversational systems that need to understand users as they speak, with low-latency streaming transcription.
Common scenarios
Voice bots and virtual agents
IVR with live understanding
Conversational automation
Real-time intent routing
Why it works
Low-latency transcription
Handles interruptions naturally
Clean speaker turns
Output Modes
Same audio. Four ways to use it.
01
Transcribe
Formatted transcript with number normalization.
"Sir aapka policy number hai 4521"
02
Translate
Indic language audio converted to English text.
"Sir your policy number is 4521"
03
Transliterate
Indian language speech written in English letters.
"Sir aapka policy number hai char paanch do ek"
04
Verbatim
Preserves fillers, pauses, and spoken numbers exactly as heard.
"Sir aapka... haan... policy number hai char paanch do ek"
Use one or combine multiple output modes in the same pipeline.
