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Speech analytics software listens to recorded or live calls and automatically detects keywords, tone, and compliance risks, so a business doesn't have to manually review calls one by one to know what's actually being said. It goes a step beyond basic recording or transcription by analysing content at scale.
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For teams handling large call volumes, speech analytics surfaces problems that would otherwise stay buried in thousands of hours of audio: a rising number of complaints about a specific issue, agents skipping a mandatory disclosure, or a competitor being mentioned often on lost sales calls. Acting on those signals early can prevent a small problem from becoming a pattern.
It's software that converts call audio to text and then analyses that text for patterns — specific keywords, customer sentiment, talk-to-listen ratio, or compliance phrases that must or must not be said. Instead of a supervisor manually sampling a handful of calls, speech analytics can scan every call and flag the ones that need human attention. It's commonly used for compliance monitoring, sales coaching, and spotting emerging customer complaint themes early.
Test transcription accuracy specifically on Indian-accented English and Hinglish calls before trusting any downstream analysis, since sentiment and keyword detection are only as good as the transcript underneath. Check whether the tool supports regional-language keyword lists if your team takes calls in more than one language. Ask about data storage and how long transcripts and audio are retained, and confirm pricing scales sensibly with call volume rather than jumping sharply past a small threshold.
Bring a real recorded call in your team's typical accent and mixed-language style to the demo, and check the transcript and flags it produces rather than a polished sample. Ask how easily you can add or edit keyword lists yourself, since compliance phrases change over time. Check how alerts reach a supervisor and how much delay there is between the call ending and the flag appearing. Confirm the tool distinguishes real sentiment shifts from normal call tone.
BudgetEntry pricing starts at ₹175/month in this list.
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It analyses call audio automatically for keywords, sentiment and compliance issues, so a business can review call quality at scale instead of sampling a few calls manually.
Accuracy varies significantly by provider; it's important to test transcription on real Indian-accented and Hinglish calls before relying on the analysis.
Recording just stores the audio; speech analytics processes that audio into text and flags patterns like sentiment, keywords or compliance issues automatically.
Yes, it can check whether agents said required disclosures and flag calls missing them, which is useful in regulated industries like finance or insurance.
Some tools analyse calls in real time and can alert a supervisor during the call, while others process recordings after the call ends; check which your provider offers.
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