Enthu.AI: Enthu.AI is a conversation intelligence platform that transcribes, auto-scores, and analyzes contact-center and sales calls for quality assurance and agent coaching. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Enthu.AI when auto-scoring contact-center agent calls for quality assurance and compliance matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Run both through a week of actual calls to see which suits your workflow.
Enthu.AI is a conversation intelligence platform that transcribes, auto-scores, and analyzes contact-center and sales calls for quality assurance and agent coaching.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Enthu.AI is a conversation intelligence and quality-assurance platform built for contact centers and calling teams across industries such as financial services, insurance, healthcare, and utilities. It transcribes every customer conversation into searchable speech-to-text with speaker labels and timestamps, then layers automated analysis on top: GenAI-powered auto-QA that evaluates calls without manual review, customizable scorecards that score agents on parameters like empathy, compliance, and script adherence, and AI summaries that surface key points and next steps. The platform also provides sentiment detection, a searchable call library for storing and organizing recordings, dashboards and reporting to spot trends, and personalized coaching tools for improving agent performance. PII redaction automatically removes sensitive data for privacy and compliance, and the product connects to existing contact-center stacks through 30+ integrations (such as NICE CXone, Five9, Salesforce, RingCentral, and Aircall). It is aimed at QA managers, sales leaders, and compliance teams who want to evaluate full call volume rather than a manual sample.
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
Enthu.AI 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 | Enthu.AI | Scriberr |
|---|---|---|
| Core capability | Speech-to-text transcription of calls with speaker labels and timestamps | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | GenAI-powered automated QA and call scoring across full call volume | Automatic speaker diarization (who said what) |
| Team usage | Customizable scorecards for empathy, compliance, and script adherence | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | AI-generated call summaries extracting key points and next steps | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Sentiment analysis and agent coaching dashboards | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | PII redaction and 30+ contact-center integrations (NICE CXone, Five9, Salesforce, RingCentral, Aircall) | Folder watcher and API endpoints for automation workflows |
Enthu.AI
Choose Enthu.AI if you need auto-scoring contact-center agent calls for quality assurance and compliance — strengths include automates qa across 100% of calls instead of 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.
Enthu.AI
Scriberr
It depends on your workflow. Enthu.AI is strong for auto-scoring contact-center agent calls for quality assurance and compliance, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Enthu.AI 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.
You can — some teams pair them when each covers a different part of the meeting workflow.
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