Interview Transcription for Researchers and Journalists Working Across Languages
Every qualitative researcher knows the math: one hour of interview audio equals four to six hours of manual transcription, more when the conversation drifts between languages, which fieldwork conversations always do. A forty-interview study hides a full month of typing inside it. That month is now mostly optional.
Why Interview Audio Is the Hard Case
Interviews are harder than meetings for any transcription system. People speak over each other. The respondent drops to a murmur for the sensitive part, which is of course the part you need. Fieldwork happens in kitchens, clinics, and roadside cafés, not studios. And in South Asian research, the interviewee answers in whatever mix of Urdu, Punjabi, and English the thought arrives in.
Manual transcription absorbs all of this with human effort. The question is how much of that effort a model can take off your hands, and the honest answer in 2026 is: most of it, if the model was built for your languages.
A Realistic AI-Assisted Workflow
- Record well in the fieldPhone close to the respondent, fan off if bearable, thirty seconds of test recording before the real start. Recording quality is the variable you control completely and it dominates everything downstream.
- Import to Samjha after the sessionDrag the file in; an hour of audio is ready in minutes with speakers separated and every line timestamped. Urdu comes out in Nastaliq or Roman, your choice per reading.
- Do a verification pass, not a typing passRead the transcript with the linked audio, correcting names, mumbled passages, and any line you will quote directly. This turns six hours of typing into roughly forty minutes of editing per interview hour.
- Interrogate the corpusAsk Samjha Chat questions across an interview, "where does she talk about her first job?", and jump straight to the timestamped moment. Across dozens of interviews, full-text search in both scripts replaces the shoebox of coded index cards.
- Export for analysisWord or TXT exports drop cleanly into NVivo, ATLAS.ti, MAXQDA, or a plain folder of documents, with timestamps preserved for citation.
Where Humans Still Matter
- Direct quotes for publication: always verify against the audio, every time, no exceptions
- Dialect and idiom: a model can transcribe a Seraiki proverb; deciding what it meant in context is your job
- Crosstalk-heavy group discussions: budget more correction time for focus groups than one-on-ones
- Ethics: anonymization is a human decision, do it before sharing any transcript, and delete recordings per your protocol, Samjha lets you permanently delete conversations
The Budget Question
Professional human transcription of Urdu-English interview audio runs anywhere from $60 to $120 per audio hour and takes days per batch. Samjha Pro is $15 a month for 1,200 minutes, twenty interview hours, with results in minutes. For a typical masters or doctoral study, that is the difference between transcription as a line item and transcription as a rounding error.
The free plan's 100 monthly minutes will cover your pilot interviews entirely, which is also the right way to test whether the accuracy holds on your specific respondents, accents, and recording conditions before you commit the study to it. samjha.com.