Is AmplifAI or Scriberr better for AI meeting notes?

It depends on your workflow. AmplifAI is strong for automating quality assurance by transcribing and scoring customer service calls at scale, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.

How do AmplifAI and Scriberr compare on price?

AmplifAI is custom pricing and Scriberr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.

Can I use both AmplifAI and Scriberr?

You can — some teams pair them when each covers a different part of the meeting workflow.

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AmplifAI vs Scriberr

AmplifAI: AmplifAI is an AI-powered contact center platform that transcribes and analyzes customer conversations across voice, chat, and messaging to automate quality assurance, coaching, and CX intelligence. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. The right pick comes down to team size, budget, and the workflows you want to automate.

How Hosiqo compares and tests tools

Final recommendation

Shortlist AmplifAI when automating quality assurance by transcribing and scoring customer service calls at scale 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.

AmplifAI

CustomAI Meeting Assistants

AmplifAI is an AI-powered contact center platform that transcribes and analyzes customer conversations across voice, chat, and messaging to automate quality assurance, coaching, and CX intelligence.

Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metricsAutomated QA scoring conversations across channels and triggering tailored coachingConversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals

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Scriberr

About AmplifAI

AmplifAI is a contact center performance and customer-experience platform that unifies data across voice, chat, email, social, CRM, and workforce systems into a single source of truth. Its conversational intelligence layer captures call recordings and uses speech-to-text to transcribe conversations, then analyzes them for sentiment, intent, call reasons, themes, and behavioral signals. Rather than sampling a small percentage of interactions, its Automated QA evaluates conversations across channels and connects findings directly to coaching workflows. An "Ask Your Transcripts" feature provides a natural-language interface for querying call transcripts, QA scores, and CX metrics on demand, while real-time transcription, sentiment, and next-best-action guidance support agents during live interactions, including auto-summarized notes and dispositions. The platform is built for contact center teams—agents, team leaders, quality analysts, and CX leadership—across industries such as retail, financial services, healthcare, BPOs, and communications. It rounds out its offering with role-based performance dashboards, predictive NPS, root-cause analysis, gamification, and recognition tools to drive measurable performance improvements.

Best suited for

Automating quality assurance by transcribing and scoring customer service calls at scale
Surfacing customer sentiment, intent, and root-cause insights from conversation transcripts
Delivering data-driven, conversation-based coaching to agents and team leaders

About Scriberr

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

Privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure
Researchers and journalists generating diarized transcripts of recorded conversations
Automating transcription pipelines by dropping audio files into a watched folder

Feature	AmplifAI	Scriberr
Core capability	Speech-to-text transcription of voice calls plus analysis of chat and messaging conversations	Local, offline transcription using Whisper models via the WhisperX engine
Standout feature	Conversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals	Automatic speaker diarization (who said what)
Team usage	Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metrics	AI summaries with custom prompts via Ollama or OpenAI-compatible providers
Integrations	Automated QA scoring conversations across channels and triggering tailored coaching	Chat with your transcripts to ask questions and pull insights
Languages & capture	Real-time transcription, sentiment, and next-best-action guidance with auto-summarized after-call notes	Built-in audio recorder and note-taking on transcripts
Best-fit workflow	Unified data integration across voice, chat, CRM, surveys, and workforce systems with role-based performance dashboards	Folder watcher and API endpoints for automation workflows

AmplifAI vs Scriberr

About AmplifAI

About Scriberr

Pricing comparison

Feature table

Best for

Pros & cons

FAQ

Is AmplifAI or Scriberr better for AI meeting notes?

How do AmplifAI and Scriberr compare on price?

Can I use both AmplifAI and Scriberr?

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