Akkadu: Akkadu is an AI-powered platform that delivers real-time live captions, subtitles, and remote simultaneous interpretation in 90+ languages for events, meetings, and video content. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Akkadu when adding multilingual live captions and subtitles to conferences, webinars, and hybrid events matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Akkadu is an AI-powered platform that delivers real-time live captions, subtitles, and remote simultaneous interpretation in 90+ languages for events, meetings, and video content.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Akkadu, built by Akkadu Technology, is a platform for breaking down language barriers in live and recorded settings. It listens to a speaker's audio and produces real-time AI live captions and subtitles in more than 90 languages, and can deliver an AI voice translation that voices a speaker's words in another language. Beyond automated transcription and translation, Akkadu also offers remote simultaneous interpretation (RSI), connecting human interpreters to events, plus human live captioning for higher-accuracy needs. It is available as a desktop and web-based application and is designed to work alongside common video conferencing tools such as Zoom, Microsoft Teams, Webex, and Google Meet, as well as on-site and hybrid events. The company states it does not store voice data and gives users control to delete transcripts. Akkadu targets event organizers, conferences, corporate meetings, universities, content creators, and language service providers who need multilingual accessibility. It is offered on a pay-as-you-go hourly model with a free limited demo tier.
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
Akkadu 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 | Akkadu | Scriberr |
|---|---|---|
| Core capability | Real-time AI live captions and subtitles in 90+ languages | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | AI voice translation that voices a speaker into another language | Automatic speaker diarization (who said what) |
| Team usage | Remote simultaneous interpretation (RSI) with human interpreters | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Human live captioning option for higher accuracy | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Works with Zoom, Microsoft Teams, Webex, and Google Meet plus on-site/hybrid events | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Custom glossaries and accent recognition to improve accuracy | Folder watcher and API endpoints for automation workflows |
Akkadu
Choose Akkadu if you need adding multilingual live captions and subtitles to conferences, webinars, and hybrid events — strengths include covers 90+ languages across captions, subtitles, interpretation, and voice translation.
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.
Akkadu
Scriberr
It depends on your workflow. Akkadu is strong for adding multilingual live captions and subtitles to conferences, webinars, and hybrid events, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Akkadu 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.
You can — some teams pair them when each covers a different part of the meeting workflow.
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