Fellow: Fellow is an AI meeting assistant that records, transcribes, and summarizes meetings across Zoom, Google Meet, Teams, and Webex, with automatic action items and an AI agent for follow-ups. 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 Fellow when automatically capturing notes, decisions, and action items during recurring team meetings 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.
Fellow is an AI meeting assistant that records, transcribes, and summarizes meetings across Zoom, Google Meet, Teams, and Webex, with automatic action items and an AI agent for follow-ups.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Fellow (fellow.ai, formerly fellow.app) is an AI meeting assistant focused on privacy and security. It records and transcribes meetings with real-time transcripts in 90+ languages, generates structured summaries, and automatically extracts and assigns action items. Recordings can run with a visible bot or "botless" directly from the desktop apps (Mac/Windows), and mobile apps capture in-person conversations. Its AskFellow AI agent searches across meetings you have access to, then drafts follow-up emails, memos, and CRM updates. Fellow works with Zoom, Google Meet, Microsoft Teams, Webex, Slack Huddles, phone calls, and in-person meetings, and integrates with 50+ tools including Salesforce, HubSpot, Asana, Jira, Linear, Notion, Confluence, Slack, and Zapier. It offers SOC 2, HIPAA, and GDPR compliance. The free plan includes a lifetime cap of 5 AI notes and 5 AI recordings per user.
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
Fellow is from $7/mo (freemium); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Fellow | Scriberr |
|---|---|---|
| Core capability | AI transcription | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Meeting summaries | Automatic speaker diarization (who said what) |
| Team usage | Action item tracking | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Botless recording | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | AskFellow AI agent | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | AI transcription | Folder watcher and API endpoints for automation workflows |
Fellow
Choose Fellow if you need automatically capturing notes, decisions, and action items during recurring team meetings — strengths include records and transcribes across zoom, google meet, teams, webex, plus phone and in-person meetings.
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.
Fellow
Scriberr
It depends on your workflow. Fellow is strong for automatically capturing notes, decisions, and action items during recurring team meetings, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Fellow is from $7/mo 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.
More head-to-head comparisons involving Fellow and Scriberr.
Fellow brings agenda, privacy controls and a bot-or-bot-free option; Fathom brings a frictionless free recorder. Control versus simplicity.
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