EvaluAgent: EvaluAgent is a contact-center quality assurance platform that automatically transcribes, scores, and analyzes customer conversations across calls, chats, emails, and tickets. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist EvaluAgent when automatically score and audit 100% of customer service calls and chats for quality and compliance matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
EvaluAgent is a contact-center quality assurance platform that automatically transcribes, scores, and analyzes customer conversations across calls, chats, emails, and tickets.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
EvaluAgent is a UK-based quality assurance and performance-improvement platform built for contact centers, BPOs, QA leads, team managers, and frontline agents. It captures interactions from connected CCaaS, CRM, and helpdesk systems, then transcribes voice calls to text and processes chats, emails, and tickets so every conversation can be reviewed rather than just a manual sample. Its AutoQA engine uses customizable drag-and-drop scorecards to automatically evaluate interactions, applying auto-fail logic and weighting that mirror how a team grades quality. A conversation-intelligence layer adds sentiment analysis, reason-for-contact classification, intent detection, summarization, predictive metrics, and customer-vulnerability signals. Insights flow into coaching plans, performance tracking, and agent feedback. The platform also offers AI-agent observability to detect issues in automated conversations, plus calibration and reporting tools. It integrates with systems such as Genesys, Five9, NICE CXone, Talkdesk, Amazon Connect, Salesforce, and Zendesk, and lists enterprise security credentials including SOC 2 Type II and ISO 27001.
Best suited for
Scriberr is an open-source, self-hosted audio transcription application aimed at people who want to keep recordings and transcripts on their own hardware. It uses the open-source Whisper family of models (via the WhisperX engine) to transcribe audio and video files entirely offline, with no requirement to send data to a cloud provider. The project is distributed under the MIT license and is packaged as a single binary, with a Go backend and a Svelte frontend compiled into the binary, while Python handles the underlying AI transcription. Beyond raw transcription, Scriberr can automatically detect and label different speakers (diarization), generate summaries using custom prompts, and let users chat with a transcript by connecting to Ollama or OpenAI-compatible providers. It includes a transcript reader with playback follow-along and seek-from-text, a built-in audio recorder, note-taking, and a folder watcher plus API endpoints for automation and integration with tools like n8n. The maintainer publicly noted development is paused but not abandoned, and community contributions are welcome; the most recent release at the time of review was v1.2.0 in December 2025. Pricing varies by plan. Check the official website for current pricing.
Best suited for
EvaluAgent is a free tier with paid upgrades (paid); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | EvaluAgent | Scriberr |
|---|---|---|
| Core capability | Automatic voice-call transcription with multi-language support | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | AutoQA scoring of 100% of conversations using customizable drag-and-drop scorecards | Automatic speaker diarization (who said what) |
| Team usage | Conversation intelligence: sentiment analysis, intent detection, and summarization | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Reason-for-contact classification and predictive metrics (CSAT/NPS/resolution) | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | AI-agent observability to flag hallucinations, missed intents, and quality issues | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Coaching workflows, calibration, and dashboards built on QA insights | Folder watcher and API endpoints for automation workflows |
EvaluAgent
Choose EvaluAgent if you need automatically score and audit 100% of customer service calls and chats for quality and compliance — strengths include transcribes and analyzes every interaction across voice, chat, email, and tickets rather than a small manual sample.
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
EvaluAgent
Scriberr
It depends on your workflow. EvaluAgent is strong for automatically score and audit 100% of customer service calls and chats for quality and compliance, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
EvaluAgent is a free tier with paid upgrades and Scriberr 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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