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Top Rated Speech Analytics Software with Api - Page 3

Last updated: July 2026

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57 software options

Stratifyd logo

Augmented intelligence (AI) and data analytics platform

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Stratifyd is an augmented intelligence and data analytics platform which helps businesses collect, analyze, and visualize unstructured and structured customer data in real-time. Using the AI-enabled speech analytics solution, customer care representatives can develop transcripts of call recordings.

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Bliro logo

B2B sales teams with field reps and complex sales cycles.

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Bliro is the digital assistant for field sales. Prep, notes, CRM updates, visit reports, and follow-ups - all automated.

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Luware Recording logo

Cloud Compliance Recording, Archive, and Analytics

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Luware Recording is a Microsoft-certified solution to securely record, store, and analyze voice, video, and text interactions.

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Call Optix logo

AI voice call analytics and sales management tool

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Call Optix delivers advanced speech analytics to analyze conversations, detect sentiment, and extract key insights. Get AI-driven call summaries, customer profiling, and trend analysis to improve sales and support. Integrate effortlessly with VOIP & CRMs for real-time data-driven decisions.

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HGS Agent X logo

Contact Center AI

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HGS Contact Center AI offers cloud-based contact center tools that help streamline processes, improve agent performance, and optimize the hiring & onboarding framework. With HGS Contact Center AI, you pay for only the features your business needs. Schedule a free demo to learn more.

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Alvaria Engagement Analytics logo

Insights into Operational Efficiency & Customer Sentiment

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Alvaria Engagement Analytics is a speech and text analytics engine designed for quality analysts, business analysts and other advanced users to surface valuable insights into quality, operational efficiency and customer sat across all customer communication channels.

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Voci logo

Speech analytics software with event-level metadata

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Voci is a cloud-based and on-premise speech analytics software designed to help businesses gain insights into voice data using AI technology and deep learning algorithms. It lets teams transcribe large volumes of audio into analyzable text via high-speed DDR4 SDRAMs.

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