WhisperLiveKit and spf.io are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. 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. spf.io: AI captioning and translation platform for in-person, virtual, and hybrid events, supporting 100+ languages with broad streaming integrations. They overlap on ai-meeting-assistants, ai-transcription, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants, ai-transcription workflows, shortlist WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels matters most, and spf.io when captioning and translating large in-person conferences across projectors and mobile devices matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
AI captioning and translation platform for in-person, virtual, and hybrid events, supporting 100+ languages with broad streaming integrations.
WhisperLiveKit is a free tier with paid upgrades (freemium); spf.io is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | WhisperLiveKit | spf.io |
|---|---|---|
| Core capability | Real-time streaming speech-to-text with low latency over WebSocket | Automatic live captions and translation in 100+ languages, with translated audio in 70+ |
| Standout feature | Real-time speaker diarization to distinguish multiple speakers | Projector display of up to four languages plus mobile QR/URL attendee access |
| Team usage | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol | Integrations with Zoom, Teams, Google Meet, YouTube, OBS, StreamYard, vMix, and Twitch |
| Integrations | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation | Supervised/edited captioning and bidirectional translation modes |
| Languages & capture | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) | Vocabulary fine-tuning, custom speech recognition, and adapted translation models |
| Best-fit workflow | Voice activity detection and multi-user support on a single backend | Optional professional captioners, interpreters, and remote operators as add-ons |
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.
spf.io
Choose spf.io if you need captioning and translating large in-person conferences across projectors and mobile devices — strengths include very broad language coverage for both captions and translated audio.
WhisperLiveKit
spf.io
It depends on your workflow. WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels, while spf.io is strong for captioning and translating large in-person conferences across projectors and mobile devices. Both transcribe and summarize meetings.
WhisperLiveKit is a free tier with paid upgrades and spf.io 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 and the budget is justified.