Say this sentence out loud: “Aaj hum discuss karenge YouTube growth strategy.” Perfectly normal for an Indian or Pakistani creator — and a nightmare for most caption tools. This constant switching between languages mid-sentence is called code-mixing, and it is the default way hundreds of millions of people speak.
What goes wrong
- Generic models lock onto one language and force everything into it — discuss becomes a garbled Devanagari guess
- Language auto-detect flip-flops between segments, so caption script changes mid-video
- Transliteration passes mangle brand names and technical terms
What actually works
Models trained on real Indian audio learn code-mixing as a feature, not an error. They keep English words in English spelling and Hindi/Urdu words consistent — whether you want native script output or romanized Hinglish captions.
Practical tips for creators
- Set your actual spoken language explicitly instead of relying on auto-detect
- Choose romanized output if your speech is heavily mixed — it reads most naturally
- Scan brand names and numbers after transcription; they are the last error hotspot
Hatcut routes Hindi, Urdu, and 20 more Indian languages to code-mixing-aware speech AI automatically. Try it at hatcut.com.