Allego: Conversation intelligence within a broader sales enablement platform that records, transcribes, and analyzes sales calls for coaching and deal insights. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Allego when coaching reps using insights and showreels drawn from real calls matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Try them side by side on real calls before deciding — needs vary by team.
Conversation intelligence within a broader sales enablement platform that records, transcribes, and analyzes sales calls for coaching and deal insights.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Allego provides conversation intelligence as part of its broader sales enablement and revenue-enablement platform. The conversation intelligence module automatically records and transcribes sales calls and meetings across common dialers and video platforms, supporting multiple languages, then analyzes those conversations to surface key topics, buyer sentiment, objections, competitor mentions, and successful selling behaviors. Transcripts are searchable, and the system generates summaries and action items from each call. Because it sits inside Allego's enablement suite, the analysis connects directly to coaching and learning workflows: managers can build showreels from top-performing calls, apply consistent scoring to identify coaching opportunities, and link reps to relevant training and practice modules. On the deal side, Allego ties conversation data to CRM context, providing early warning signals when deals lose momentum and visibility into buyer engagement across calls, email, content, and digital sales rooms. Allego is aimed at mid-market and enterprise revenue organizations that want conversation intelligence unified with onboarding, content, and coaching rather than as a standalone tool. It was recognized as a Leader in the Gartner Magic Quadrant for Revenue Enablement Platforms. 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
Allego 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 | Allego | Scriberr |
|---|---|---|
| Core capability | Automated call recording and multilingual transcription | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Searchable transcripts surfacing pricing, competitor, and objection mentions | Automatic speaker diarization (who said what) |
| Team usage | Call scoring and creation of showreels from top-performing calls | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Integration with coaching, learning, and practice modules | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Deal intelligence with CRM context and momentum warning signals | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Automated call recording and multilingual transcription | Folder watcher and API endpoints for automation workflows |
Allego
Choose Allego if you need coaching reps using insights and showreels drawn from real calls — strengths include conversation intelligence is unified with coaching and enablement workflows.
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.
Allego
Scriberr
It depends on your workflow. Allego is strong for coaching reps using insights and showreels drawn from real calls, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Allego 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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