How to Analyse Sales Call Recordings in Hindi and Hinglish
Short answer: To analyse sales calls in Hindi or Hinglish, first collect the recordings from your calling system, transcribe them with a speech model that handles code-mixed Hindi and English, then pull the same fields out of every transcript (such as budget, product, objection and next step) and store them in a table. Once every call is a row, you can count, filter, chart and ask questions across all of them.
Why listening to recordings doesn't work
A team of five making 60 calls a day each produces about 300 calls a day. Nobody can listen to that. Owners end up sampling a few calls, or relying on what the team writes in the CRM, which is usually short and often missing.
Step 1: Get every recording automatically
Business calling apps and cloud telephony providers such as Superfone, Exotel, MyOperator and Knowlarity save call recordings and can send them out as soon as a call ends, usually through a webhook. That means no one has to download files by hand.
Step 2: Transcribe in the language your customers speak
Most Indian sales calls switch between Hindi and English in the same sentence. Use a transcription model that handles this code-mixing, and keep the transcript in the words actually spoken, in Roman or Devanagari script, rather than a loose translation. Test it on 20 or 30 of your own calls before you rely on it, because accents, line quality and industry words all affect accuracy.
Step 3: Pull out the same fields from every call
A transcript is still too long to read. The value comes from turning each call into the same short set of fields. For example:
- Real estate: budget, BHK, location, loan needed, site visit booked, reason for not booking.
- Coaching: course, exam, class, parent or student, fee concern, demo booked.
- D2C: order value, COD confirmed or cancelled, cancel reason, product complaint.
Add a mood or intent label (keen, unsure, angry, just browsing) and a next step. Always keep a link back to the call so anyone can check.
Step 4: Put it where you'll actually look
Store each call as a row in a database, then show it in a simple dashboard: calls by agent, outcomes, top lost reasons, follow-ups due. Alerts help most: a message when a hot lead has not been called back in 24 hours is worth more than any chart.
Step 5: Ask questions in plain language
Once the data is in a database, ChatGPT or Claude can read it through a private, read-only connector. Then an owner can ask “Is hafte kitne logon ne site visit ke liye haan bola?” and get the answer with the calls behind it.
Frequently asked questions
Can AI understand Hinglish phone calls?
Yes. Current speech models handle Hindi and English mixed in the same sentence well on clear lines. Accuracy drops on noisy calls, so test on your own recordings first.
Do I need to translate calls into English?
No. It is better to keep the transcript in the words spoken and pull the key details out in English, so your dashboard is consistent while the original stays checkable.
Which Indian languages can be analysed?
Hindi, English and Hinglish work best today. Marathi, Gujarati, Bengali, Tamil, Telugu, Kannada, Malayalam and Punjabi can also be handled, but you should test them on your own calls.
Want this for your own calls? CallSense transcribes your team's calls in Hindi, English or Hinglish, pulls out mood and key details into a live dashboard, and lets you ask ChatGPT about them.