Transcribe Multilingual Indian Interviews

Listen to 2-3 minutes of the recording and categorize: Do different speakers use different primary languages? Or does the same speaker switch languages frequently? The answer determines your workflow. Separated languages (Speaker A in Hindi, Speaker B in English) are easier than integrated mixing (everyone code-switching constantly).

Also note the proportion. If 80% is in one language with occasional switches, transcribe in the dominant language mode and fix the minority-language segments. If it is genuinely 50-50 across multiple languages, you need a more structured approach.

When each speaker primarily uses one language: Run pass 1 in Language A (gets Speaker 1's content right). Run pass 2 in Language B (gets Speaker 2's content right). Merge the best segments from each pass into one final transcript. This works because each pass optimizes for one speaker.

For a Hindi-English interview: Pass 1 in Hindi mode captures the Hindi speaker accurately but garbles the English speaker. Pass 2 in English mode does the reverse. Take Hindi speaker segments from Pass 1 and English speaker segments from Pass 2.

When everyone code-switches heavily: Divide the recording into logical segments (by topic, by question, or in 2-3 minute chunks). Transcribe each segment in the mode that fits its dominant language. Some segments might be Hinglish, others pure English, others primarily Tamil.

This approach requires more manual work but produces higher accuracy than forcing one mode across varied content. Label each segment with its timestamp range so you can merge them in order.

For meetings or panels where getting exact vernacular text is less important than capturing ideas: Use English or Indian English mode throughout. This captures English segments perfectly and produces phonetic approximations of Hindi/Tamil/Telugu segments. Then correct the non-English portions manually.

This works best when the goal is meeting notes or action items rather than a polished transcript. You lose script-specific rendering but gain a workable single-pass draft.

After multi-pass or segment-based transcription, merge into one document. Decisions to make: script choice (all Roman for readability? Native scripts for accuracy?), speaker label format, how to mark language switches, and whether to indicate the original language in brackets.

For published content, standardize on one primary script and note switches parenthetically. For internal records, native scripts preserve accuracy. For subtitles, Roman script is often most practical because it renders reliably across all players.