Attention: AI conversation intelligence platform that records and transcribes sales calls, scores them against frameworks, and automates CRM updates and follow-ups. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. 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 Attention when sales managers coaching reps with consistent call scorecards 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.
AI conversation intelligence platform that records and transcribes sales calls, scores them against frameworks, and automates CRM updates and follow-ups.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Attention is an AI-native conversation intelligence platform for revenue teams that records, transcribes and analyzes sales calls to automate post-call work and coaching. It captures meetings across video conferencing tools such as Zoom, Google Meet and Microsoft Teams and transcribes conversations in many languages, then uses AI to generate summaries, insights and coaching feedback. A distinguishing capability is automated scorecards: Attention evaluates rep performance against established sales methodologies such as MEDDIC and BANT, giving managers a consistent, AI-generated assessment of each call rather than relying on manual review. The platform also includes AI sales agents that automate follow-up emails, CRM updates and next-step workflows, with a CRM auto-update feature that populates systems from call data to reduce manual entry. Attention integrates with a large ecosystem of tools, including Salesforce, HubSpot, Gmail, Outlook, Slack and Zapier, so call insights and tasks can flow into existing sales processes. It is aimed at revenue teams, sales leaders, individual reps and customer success departments that want to cut administrative work, improve coaching consistency and keep deals from slipping due to missed follow-ups. Pricing varies by plan. Check the official website for current pricing.
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
Attention is a free tier with paid upgrades (freemium); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Attention | Scriberr |
|---|---|---|
| Core capability | Records and transcribes calls across Zoom, Google Meet and Microsoft Teams | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Transcription in 100+ languages | Automatic speaker diarization (who said what) |
| Team usage | Automated coaching scorecards against MEDDIC, BANT and similar frameworks | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | AI sales agents for follow-ups and next-step automation | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | CRM auto-update to reduce manual data entry | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Integrations with Salesforce, HubSpot, Gmail, Outlook, Slack and Zapier | Folder watcher and API endpoints for automation workflows |
Attention
Choose Attention if you need sales managers coaching reps with consistent call scorecards — strengths include methodology-based scorecards bring consistency to call coaching.
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.
Attention
Scriberr
It depends on your workflow. Attention is strong for sales managers coaching reps with consistent call scorecards, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Attention 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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