Beey: Web app for automatic transcription, subtitle creation, translation, and live transcription. WhisperLiveKit: Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Beey when transcribing podcasts, interviews, and video into editable text matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Web app for automatic transcription, subtitle creation, translation, and live transcription.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Beey is a web-based application for automatically transcribing and subtitling audio and video content using AI. Users upload recordings or record audio directly, and Beey converts the speech into text that can be edited in a built-in editor featuring speaker separation, waveform preview, and full-text search. From the transcript, the platform creates professional captions and subtitles and can apply automatic AI translation across a range of languages. Beey also offers live transcription of streamed content as an add-on, extending its use to events and broadcasts in addition to pre-recorded files. The platform supports more than thirty languages and provides API access for teams that want to integrate transcription into their own systems. Beey is aimed at journalists, media houses, researchers, and content creators who need accurate, editable transcripts and subtitles, as well as users converting podcasts, videos, and meeting recordings into searchable text. Its combination of an editor, subtitle tools, and live transcription makes it suitable for both production and documentation workflows. Pricing varies by plan. Check the official website for current pricing.
Best suited for
WhisperLiveKit is an open-source, self-hosted toolkit for ultra-low-latency real-time speech-to-text and speaker diarization. Rather than naively running Whisper on each audio chunk, it uses state-of-the-art simultaneous-speech research for intelligent buffering and incremental processing, which preserves transcription quality while streaming results with minimal latency. The project ships a complete backend built on FastAPI with WebSocket support, an OpenAI-compatible REST API, a Deepgram-compatible WebSocket protocol, and a simple, customizable HTML and JavaScript web interface that captures microphone audio and streams it to the server. It supports multiple ASR backends including Whisper variants, Voxtral, and Qwen3-ASR, covers 200+ languages with translation, and includes real-time speaker diarization and voice activity detection to reduce processing overhead. It can handle multiple concurrent users on a single backend and is distributed via PyPI with Docker images for both GPU and CPU. Licensed under Apache 2.0 and actively maintained into 2026, the project explicitly lists meeting transcription, accessibility tooling, and podcast or call transcription with speaker identification among its intended use cases, making it a practical building block for private, on-premise meeting transcription pipelines. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Beey is a free tier with paid upgrades (freemium); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Beey | WhisperLiveKit |
|---|---|---|
| Core capability | Automatic transcription of audio and video | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Subtitle and caption creation with a dedicated editor | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Speaker separation, waveform preview, and full-text search | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Automatic AI translation across many languages | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Live transcription of streamed content and API access | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Automatic transcription of audio and video | Voice activity detection and multi-user support on a single backend |
Beey
Choose Beey if you need transcribing podcasts, interviews, and video into editable text — strengths include editor with speaker separation and search aids transcript cleanup.
WhisperLiveKit
Choose WhisperLiveKit if you need self-hosted real-time meeting transcription with speaker labels — strengths include fully open source (apache 2.0) and self-hostable for private, on-premise transcription.
Beey
WhisperLiveKit
It depends on your workflow. Beey is strong for transcribing podcasts, interviews, and video into editable text, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
Beey is a free tier with paid upgrades and WhisperLiveKit is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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