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. Zeemo: Zeemo is an AI auto-captioning and transcription tool that converts videos, podcasts, interviews, and voice recordings into text and time-synced subtitles, with translation into many languages. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels matters most, and Zeemo when auto-generating and styling captions for social media and youtube videos matters most. Try them side by side on real calls before deciding — needs vary by team.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Zeemo is an AI auto-captioning and transcription tool that converts videos, podcasts, interviews, and voice recordings into text and time-synced subtitles, with translation into many languages.
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
Zeemo is an AI-powered captioning, subtitling, and transcription platform aimed at content creators, podcasters, YouTubers, educators, and marketing teams. Users upload an audio or video file (or paste a video link), and Zeemo's speech recognition automatically converts the speech into time-synced captions or a plain-text transcript. Beyond social-video subtitles, it offers a dedicated transcription service for recorded interviews, meetings, lectures, podcasts, songs, and voice recordings, producing editable text that can be exported. It supports a broad set of languages for recognition and can translate captions and subtitles into many additional languages for localized content. A batch-editing interface lets users correct and refine transcripts efficiently, and captions can be styled with fonts, colors, templates, emojis, and effects before export. Outputs include caption-burned video plus subtitle and text formats such as SRT, ASS, and TXT. Zeemo runs in the browser with no install required and also offers dedicated iOS and Android apps for transcribing and captioning on the go.
Best suited for
WhisperLiveKit is a free tier with paid upgrades (freemium); Zeemo is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | WhisperLiveKit | Zeemo |
|---|---|---|
| Core capability | Real-time streaming speech-to-text with low latency over WebSocket | AI auto-captioning that generates time-synced subtitles from video and audio |
| Standout feature | Real-time speaker diarization to distinguish multiple speakers | Audio/video transcription for interviews, meetings, lectures, podcasts, and voice recordings |
| Team usage | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol | Multilingual subtitle recognition with translation into many additional languages |
| Integrations | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation | Batch transcript and subtitle editing for fast corrections |
| Languages & capture | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) | Caption styling with fonts, colors, templates, emojis, GIFs, and stickers |
| Best-fit workflow | Voice activity detection and multi-user support on a single backend | Export to multiple formats including captioned video, SRT, ASS, and TXT |
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.
Zeemo
Choose Zeemo if you need transcribing recorded interviews, podcasts, and voice recordings into editable text — strengths include handles both polished social-video captions and plain transcription of meetings, interviews, and podcasts.
WhisperLiveKit
Zeemo
It depends on your workflow. WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels, while Zeemo is strong for transcribing recorded interviews, podcasts, and voice recordings into editable text. Both transcribe and summarize meetings.
WhisperLiveKit is a free tier with paid upgrades and Zeemo 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.
More head-to-head comparisons involving WhisperLiveKit and Zeemo.
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