AI Data Services · NLP & Transcription

Native voices,
native fidelity.

Verbatim ASR transcription, semantic translation, dialect tagging, code-switch detection and conversational ground-truth — by native speakers, across 60+ languages including 22 Indic.

Capabilities

Built for production, not just demos.

  • Verbatim and semantic transcription with timestamps
  • Word- and phoneme-level alignment
  • Speaker diarization + speaker-attribute tagging
  • Code-switch detection across multilingual utterances
  • Dialect + accent labelling at sub-region granularity
  • Translation pairs for training & evaluation
  • TTS reference + emotion / prosody tagging
  • PII redaction and SSN/CC scrubbing
Specs at a glance
Languages60+ (22 Indic + 40 global)
Avg. WER<5% on conversational
Throughput8k hours/wk
Time alignmentWord-level + phoneme
DiarizationUp to 10 speakers
DeliveryJSON · CTM · TextGrid · SRT
Workflow

How a typical engagement runs.

Step 1

Spec

Define language list, dialect coverage, fields to tag, and format requirements.

Step 2

Calibrate

Native-speaker pod runs gold tasks; we tune guidelines per dialect family.

Step 3

Pilot

20-hour pilot batch with WER + tag-IAA report.

Step 4

Production

Scale with live QA dashboards and per-language quality slicing.

Step 5

Evolve

Continuous calibration on emerging slang, code-switch patterns and dialects.

Deliverables

What you get in your bucket.

Time-aligned transcripts (JSON/CTM/TextGrid/SRT)
Speaker-attributed diarization
Translation pairs (source + target)
Dialect + code-switch tags per utterance
WER, CER and per-dialect quality reports
Optional TTS reference + prosody tags
FAQ

Questions, answered.

Which Indic languages do you support?

All 22 scheduled Indic languages — Hindi, Tamil, Telugu, Kannada, Marathi, Bengali, Gujarati, Punjabi, Malayalam, Odia, Assamese, Urdu, Sanskrit, Konkani, Maithili, Bhojpuri, Sindhi, Nepali, Dogri, Manipuri, Santali, Bodo — with native dialect calibration.

How do you handle code-switching?

Code-switch is tagged at the token level (e.g. Hinglish, Tanglish). We support per-language phonetic transcription within mixed utterances and provide language-ID confidence per span.

What about voice cloning safety?

We enforce strict speaker consent and revocation. Synthesizable voice data requires explicit opt-in and is tracked with a separate audit chain.

Can you support real-time / streaming use cases?

Our training data is offline, but we deliver low-latency reference data for streaming ASR evaluation, including beam-search candidates and partial-hypothesis ground truth.

Ready to build
AI you can trust?

Talk to a solutions architect — get a pilot scoped in 48 hours.