Allo: Mobile-first AI business phone system that records and transcribes sales calls, writes follow-ups, and syncs everything to your CRM automatically. 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 toolsFinal recommendation
Shortlist Allo when sales teams that want every outbound and inbound call recorded, transcribed, and logged to the crm automatically 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.
Mobile-first AI business phone system that records and transcribes sales calls, writes follow-ups, and syncs everything to your CRM automatically.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Allo is an AI-powered business phone system aimed at sales teams, support, and operations that records every call, transcribes it in real time, and syncs the recording, transcript, and an AI-generated summary to a CRM automatically. Positioned as mobile-native and quick to set up, it focuses on letting reps spend time selling rather than logging calls. Each conversation is recorded with consent-message compliance options, transcribed with speaker identification, and condensed into a shareable AI recap. Allo can then draft personalized follow-up emails and SMS based on what was discussed. The platform includes an AI receptionist for answering inbound calls, voicemail transcription, multi-tag organization of calls, and team collaboration features such as cascade ring and warm transfers. Managers can pull call recordings and AI transcripts to find coaching opportunities, while reporting dashboards surface connection rates, conversion tracking, funnels, and heatmaps. Allo integrates with CRMs including HubSpot, Salesforce, Pipedrive, Attio, and Apollo, and exposes an MCP endpoint to connect the phone system to AI assistants. It is a live, operating product as of 2025/2026. 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
Allo 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 | Allo | Scriberr |
|---|---|---|
| Core capability | Automatic call recording with consent-message compliance options | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Real-time AI transcription with speaker identification | Automatic speaker diarization (who said what) |
| Team usage | AI call summaries and recaps that can be shared | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | AI-drafted follow-up emails and SMS based on call content | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Automatic CRM sync of recordings, transcripts, and summaries (HubSpot, Salesforce, Pipedrive, Attio, Apollo) | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | AI receptionist and voicemail transcription | Folder watcher and API endpoints for automation workflows |
Allo
Choose Allo if you need sales teams that want every outbound and inbound call recorded, transcribed, and logged to the crm automatically — strengths include mobile-first phone system that bundles recording, transcription, and crm sync in one tool.
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.
Allo
Scriberr
It depends on your workflow. Allo is strong for sales teams that want every outbound and inbound call recorded, transcribed, and logged to the crm automatically, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Allo 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.
Often yes: teams combine tools when one handles capture and another handles analysis.
More head-to-head comparisons involving Allo and Scriberr.
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