CallFinder: CallFinder is an AI-powered speech analytics platform that transcribes and analyzes contact center calls to automate quality assurance and surface customer insights. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallFinder when automating quality assurance and call scoring in contact centers matters most, and Speakr when extracting action items and decisions from recorded calls matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
CallFinder is an AI-powered speech analytics platform that transcribes and analyzes contact center calls to automate quality assurance and surface customer insights.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
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
Speakr is a self-hosted web application designed for transcribing audio recordings such as meetings, generating concise summaries and titles, and interacting with the content through a chat interface. It runs entirely on the user's own server, giving full control over data, and is dual-licensed under AGPL-3.0 and a commercial license. The project is actively maintained, with a v0.9.0-alpha release dated June 2026 and over 970 commits. Speakr produces transcripts with automatic language detection and optional AI-powered speaker diarization so users can see who said what. Its summarization can be customized with prompts, and meeting summaries include an action-items view that filters out general discussion to surface decisions, tasks, deadlines, and calendar-worthy events. For deeper interaction, a per-recording chat lets users ask questions about a single recording, while an experimental Inquire Mode provides semantic search and natural-language chat across an entire library of recordings. Speakr can capture system or browser-tab audio, supports configurable AI models and endpoints compatible with OpenAI, OpenRouter, and local models, and includes multi-user support with SSO, group workspaces, an admin dashboard, and export and sharing tools aimed at privacy-conscious teams. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallFinder is custom pricing (contact sales); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallFinder | Speakr |
|---|---|---|
| Core capability | AI-powered speech-to-text call transcription | Self-hosted transcription with automatic language detection |
| Standout feature | Searchable transcripts of agent-customer interactions | Optional AI-powered speaker diarization |
| Team usage | Sentiment and emotion analysis | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | Automated agent scorecards | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | Silence and overtalk detection | System and browser-tab audio capture |
| Best-fit workflow | Custom analytics and reporting | Multi-user support with SSO, group workspaces, and admin dashboard |
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.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
CallFinder
Speakr
It depends on your workflow. CallFinder is strong for automating quality assurance and call scoring in contact centers, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
CallFinder is custom pricing and Speakr 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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