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. Whisperit: Whisperit is a Swiss-hosted, AI-powered workspace for legal professionals that turns voice dictation into formatted legal documents and supports case analysis and research. 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 WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels matters most, and Whisperit when reviewing and extracting key facts, parties, and timelines from case files and contracts matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Whisperit is a Swiss-hosted, AI-powered workspace for legal professionals that turns voice dictation into formatted legal documents and supports case analysis and research.
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
Whisperit is an AI-powered workspace built for lawyers, law firms, solo practitioners, and notaries. Its core is voice-first dictation: users speak naturally and Whisperit transcribes their words in real time, with speaker labels and legal-specific vocabulary, then turns the result into a structured, formatted legal document ready to review and edit. Beyond dictation, the platform analyzes uploaded case files, PDFs, and emails to extract parties, dates, and key facts, and offers legal research that returns cited answers from a user's documents and external legal databases. Drafting templates and style profiles apply firm-specific citation, numbering, and tone rules. It supports dictation and correspondence in German, French, Italian, Dutch, and English. Whisperit emphasizes security and compliance: data is hosted on Swiss servers, encrypted, and compliant with GDPR and Swiss data protection law, with team collaboration features including real-time editing and version tracking. Integrations include Microsoft Word, Outlook, Google Drive, OneDrive, SharePoint, Gmail, DocuSign, IncaMail, and PDF tools. It primarily serves European legal teams.
Best suited for
WhisperLiveKit is a free tier with paid upgrades (freemium); Whisperit is custom pricing (contact sales). Always confirm current pricing on each vendor's site before buying.
| Feature | WhisperLiveKit | Whisperit |
|---|---|---|
| Core capability | Real-time streaming speech-to-text with low latency over WebSocket | Real-time voice dictation transcribed into formatted legal documents |
| Standout feature | Real-time speaker diarization to distinguish multiple speakers | Speaker labels and legal-specific vocabulary recognition |
| Team usage | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol | Document analysis extracting parties, dates, and key facts from case files, PDFs, and emails |
| Integrations | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation | Legal research returning cited answers from documents and external databases |
| Languages & capture | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) | Drafting templates and style profiles enforcing firm-specific citation, numbering, and tone |
| Best-fit workflow | Voice activity detection and multi-user support on a single backend | Multilingual support across German, French, Italian, Dutch, and English |
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.
Whisperit
Choose Whisperit if you need lawyers dictating and drafting formatted legal documents by voice — strengths include purpose-built for legal workflows with practice-area templates and legal vocabulary.
WhisperLiveKit
Whisperit
It depends on your workflow. WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels, while Whisperit is strong for lawyers dictating and drafting formatted legal documents by voice. Both transcribe and summarize meetings.
WhisperLiveKit is a free tier with paid upgrades and Whisperit is custom pricing. 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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