Audiosum: AI transcription platform with Arabic dialect support that transcribes and summarizes meetings, lectures and videos. 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 Audiosum when transcribing arabic-language meetings and dialect-heavy discussions matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
AI transcription platform with Arabic dialect support that transcribes and summarizes meetings, lectures and videos.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Audiosum is an AI transcription and summarization platform with notable support for Arabic, including multiple dialects such as Gulf, Egyptian, Lebanese, Moroccan and Saudi, alongside English and other languages. While the platform is broadly used for lectures and educational content, it offers a dedicated meeting-transcription product that converts meeting recordings into transcripts, summaries and actionable notes, extracts key points and decisions, and identifies follow-up tasks. It supports recordings from Google Meet, Zoom and Microsoft Teams, provides live transcription, and includes an AI chat feature for asking questions about transcribed content. Exports are available in formats such as PDF, Word and TXT, and a mobile app is offered. The service was actively operating at the time of review, with a working signup flow and user reviews including Arabic-language feedback. Because Audiosum's primary marketing emphasis leans toward students and educators summarizing lectures, teams evaluating it specifically for business meetings should confirm that its meeting-transcription workflow and Arabic accuracy meet their needs, but it remains a relevant option for Arabic-speaking users seeking AI meeting transcription and summaries. 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
Audiosum 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 | Audiosum | Scriberr |
|---|---|---|
| Core capability | Arabic transcription with multiple dialects plus English and others | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Meeting transcription with summaries and action items | Automatic speaker diarization (who said what) |
| Team usage | Live transcription capability | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Supports Google Meet, Zoom and Teams recordings | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | AI chat to query transcribed content | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Exports to PDF, Word and TXT with a mobile app | Folder watcher and API endpoints for automation workflows |
Audiosum
Choose Audiosum if you need transcribing arabic-language meetings and dialect-heavy discussions — strengths include broad arabic dialect coverage for transcription.
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.
Audiosum
Scriberr
It depends on your workflow. Audiosum is strong for transcribing arabic-language meetings and dialect-heavy discussions, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Audiosum 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.
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