CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. Talat: A privacy-first desktop meeting notes app that records and transcribes calls entirely on your own machine, with no bot and no cloud upload. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and Talat when keeping a searchable local archive of meeting notes in markdown or obsidian matters most. Try them side by side on real calls before deciding — needs vary by team.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
A privacy-first desktop meeting notes app that records and transcribes calls entirely on your own machine, with no bot and no cloud upload.
CallMiner is an enterprise speech and conversation analytics platform, built around its Eureka product, that captures and analyzes customer interactions across voice and digital channels. It records and transcribes calls into text, then applies acoustic and linguistic AI to surface sentiment, emotion, intent, and behavioral signals — quantifying frustration, effort, satisfaction, and confidence rather than sampling a fraction of conversations. Designed for contact centers and large enterprises, it spans modules for analysis, automated agent scoring and coaching, real-time guidance during live calls, automated redaction of sensitive data, multilingual translation, and interactive dashboards. CallMiner ingests voice, chat, email, surveys, social media, and screen recordings, applying scoring models to isolate compliance risks, fraud, quality issues, and sales outcomes. It also includes generative and agentic AI features such as automatic category creation, contact summarization, and natural-language discovery. The platform is used across healthcare, finance, retail, insurance, and BPO sectors, and was named a leader in The Forrester Wave: Conversation Intelligence Solutions for Contact Centers, Q2 2025.
Best suited for
Talat is a lightweight desktop application that records and transcribes meetings entirely on the user's own computer, keeping audio and notes off cloud servers. It captures both the microphone and system audio, automatically detecting active conferencing apps such as Zoom, Microsoft Teams, Google Meet, and FaceTime, and transcribes both sides of the conversation in real time with low latency. Speakers are identified automatically and can be adjusted manually, and transcript segments can be edited, split, or deleted. When a meeting ends, an on-device large language model generates a summary highlighting key points, decisions, and action items. Because transcription and summarization run locally using hardware acceleration, the app functions offline and does not send meeting data to external providers, though users can optionally connect their own cloud LLM if they prefer. Talat supports exporting notes to Markdown for tools like Obsidian, along with webhooks and Model Context Protocol (MCP) support for integrating meeting data into other workflows, plus full local search across past recordings. Available for Apple Silicon Macs and Windows, it is sold as a one-time purchase rather than a subscription, making it suited to privacy-conscious individuals and small teams who want local control of their meeting records. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallMiner is custom pricing (contact sales); Talat is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | Talat |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | Fully local, on-device recording and transcription with no cloud upload |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | Captures microphone and system audio from Zoom, Teams, Meet, and FaceTime |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | Real-time speaker identification with editable transcript segments |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | On-device LLM summaries of key points, decisions, and action items |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | Markdown export to tools like Obsidian, plus webhooks and MCP support |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | Local search across all previously recorded meetings |
CallMiner
Choose CallMiner if you need contact centers monitoring agent performance and automating quality scoring and coaching — strengths include analyzes 100% of interactions rather than a sampled subset, reducing blind spots.
Talat
Choose Talat if you need recording and transcribing meetings without sending audio to the cloud — strengths include audio and notes never leave the device, supporting strong privacy and offline use.
CallMiner
Talat
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while Talat is strong for recording and transcribing meetings without sending audio to the cloud. Both transcribe and summarize meetings.
CallMiner is custom pricing and Talat is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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