CallFinder: CallFinder is an AI-powered speech analytics platform that transcribes and analyzes contact center calls to automate quality assurance and surface customer insights. Natively: A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallFinder when automating quality assurance and call scoring in contact centers matters most, and Natively when running a fully local, offline meeting assistant via ollama for sensitive discussions matters most. Try them side by side on real calls before deciding — needs vary by team.
CallFinder is an AI-powered speech analytics platform that transcribes and analyzes contact center calls to automate quality assurance and surface customer insights.
A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support.
CallFinder is a cloud-based speech analytics and conversation intelligence platform built for contact centers and quality assurance teams. It captures audio by integrating with a company's existing call recording provider and contact center systems, then applies AI-powered speech-to-text to produce searchable transcriptions of agent-customer interactions. Beyond transcription, the platform delivers automated agent scorecards, sentiment and emotion analysis (positive, negative, or neutral), and silence and overtalk detection to pinpoint conversation patterns and customer pain points. Custom analytics reporting helps managers identify trends, compliance risks, and coaching opportunities across large call volumes. A distinguishing element is its managed client services model, in which an assigned Speech Analyst works alongside the QA team to define goals and optimize the deployment, combining AI with human review. CallFinder integrates with most CRMs and contact center solutions, with a typical implementation taking several weeks. It is aimed at contact centers in industries such as credit unions, healthcare, collections, insurance, and education seeking to monitor and improve customer interactions.
Best suited for
Natively is an open-source AI meeting assistant maintained by the Natively-AI-assistant project and actively developed through 2025 and 2026. It runs as a desktop application on macOS (Apple Silicon and Intel) and Windows, capturing meeting audio directly on the device rather than joining calls as a visible participant. Built with a Rust-based audio pipeline, it provides low-latency real-time transcription and generates structured, searchable meeting notes that include action items, decisions, and key moments, alongside an on-demand AI assist triggered by a keyboard shortcut. It offers several meeting modes for different contexts and works alongside major platforms such as Zoom, Google Meet, and Microsoft Teams. Natively is bring-your-own-key and supports providers including Google Gemini, OpenAI, Anthropic Claude, and Groq, plus a fully local option through Ollama so transcription and analysis can stay offline on the user's machine; meeting data is stored locally by default. As an indie, community-driven tool it positions itself as a free alternative to paid commercial assistants, though it relies on user-supplied API keys for cloud models and is still evolving. Verify current features and any policies on the official site. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallFinder is custom pricing (contact sales); Natively is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallFinder | Natively |
|---|---|---|
| Core capability | AI-powered speech-to-text call transcription | Real-time transcription with a low-latency Rust-based audio pipeline |
| Standout feature | Searchable transcripts of agent-customer interactions | Structured, searchable meeting notes with action items and decisions |
| Team usage | Sentiment and emotion analysis | On-demand AI assist via keyboard shortcut during calls |
| Integrations | Automated agent scorecards | Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq |
| Languages & capture | Silence and overtalk detection | Fully local/offline option through Ollama with local data storage by default |
| Best-fit workflow | Custom analytics and reporting | Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot |
CallFinder
Choose CallFinder if you need automating quality assurance and call scoring in contact centers — strengths include combines ai analysis with a dedicated human speech analyst.
Natively
Choose Natively if you need capturing real-time transcripts and structured notes from calls without a visible bot — strengths include free and open source with active development.
CallFinder
Natively
It depends on your workflow. CallFinder is strong for automating quality assurance and call scoring in contact centers, while Natively is strong for capturing real-time transcripts and structured notes from calls without a visible bot. Both transcribe and summarize meetings.
CallFinder is custom pricing and Natively is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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