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Transcription · Hinglish

Hinglish Transcription Services

Verbatim and clean-read transcription of Indian-language audio by native speakers of the target variety, delivered against a written style guide with measured agreement. This page covers how that works specifically for Hinglish, where intra-sentential switching means english words carry indian phonology, so english acoustic models mis-transcribe them.

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Transcriber timestamping Indian language audio — Hinglish Transcription Services
Language
Hinglish (hi-Latn-IN)
Dialects covered
4
Typical programme
500-2,000 hours
Cities
Delhi, Gurugram, Noida
01

What changes when the language is Hinglish

The service specification stays constant across languages; the linguistics do not. For Hinglish, three things drive the design of a transcription programme.

  • Intra-sentential switching means English words carry Indian phonology, so English acoustic models mis-transcribe them
  • Dialect spread: Delhi corporate Hinglish, Mumbai Bambaiya, Call-centre register, Youth/social media register
  • Hinglish is the code-mixing case itself. Typical urban customer-support speech is 30-60% English tokens embedded in Hindi grammar, with switching several times per utterance.
Transcription — Hinglish · written into the SOW before recordingModesVerbatim, clean verbatim, or clean-readTimestampsUtterance or word levelScriptNative script, romanised, or dual-script deliveryTagsSpeaker, noise, overlap, unintelligible, code-switchAccuracy target99% on clean studio audio; agreed per-project on field audioYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
ModesVerbatim, clean verbatim, or clean-read
TimestampsUtterance or word level
ScriptNative script, romanised, or dual-script delivery
TagsSpeaker, noise, overlap, unintelligible, code-switch
Accuracy target99% on clean studio audio; agreed per-project on field audio
Studio-grade voice recording session for text-to-speech training data — supporting hinglish transcription services
Studio-grade voice recording session for text-to-speech training data
03

Hinglish cohort design

Recruit by switching behaviour, not by language proficiency. Screening recordings are used to confirm speakers switch naturally rather than performing one language.

DimensionTypical splitWhy it matters for Hinglish
Gender50 / 50Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition
Age18-25: 30%, 26-40: 40%, 41-60: 30%Older speakers retain conservative Hinglish forms that younger urban speakers have lost
RegionDelhi NCR / Mumbai / Bengaluru and othersDialect spread across 4 recognised varieties
EducationMixed, including below-graduatePrompt-reading fluency correlates with education and skews prosody
ConditionStudio / quiet room / fieldMatch the noise profile of your deployment
04

Process

  • Style guide authoring and client sign-off
  • Transcriber calibration and agreement measurement
  • First pass transcription
  • Independent second-pass review
  • Automated rule checks and delivery
05

Hinglish-specific quality rules

  • Whether English tokens are written in Latin or transliterated into Devanagari must be fixed by rule, not left to annotators
  • Language-ID tagging per token is required for training but is skipped by most vendors
  • Ambiguous words shared by both languages need an explicit tie-break rule

The style guide is the deliverable that determines whether your data is usable. It is written first and shipped with the data.

06

Deliverables

  • Transcripts in your schema
  • Style guide
  • QA and agreement report
07

Worked example

A representative Hinglish transcription engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Delhi, Gurugram, Noida, recorded to the specification above and delivered in WAV with a per-utterance manifest.

Timeline: 1-2 weeks per 100 audio hours per language.

08

Where this data is missing today

Almost no public corpus contains genuine intra-sentential Hindi-English switching with per-token language tags. This is the highest-value gap for anyone building Indian conversational AI.

Frequently asked

How much does Hinglish transcription cost?

Priced per delivered hour or unit against a written spec. The cost drivers for Hinglish are dialect spread, demographic narrowness and recording condition, in that order.

Which Hinglish dialects are included?

By default Delhi corporate Hinglish, Mumbai Bambaiya, Call-centre register, Youth/social media register and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Hinglish data in our format?

Yes. Transcripts in your schema is the default, but naming, schema and directory structure follow your pipeline.

How long does a Hinglish programme take?

1-2 weeks per 100 audio hours per language.

Request a Hinglish transcription quote

Hours, speakers, dialects, deadline. Send what you have.

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