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. Wispr Flow: Wispr Flow is a cross-platform AI voice dictation app that turns natural speech into clean, formatted text inside any application on Mac, Windows, iPhone, and Android. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels matters most, and Wispr Flow when dictating code comments, prompts, and chat directly into editors and ai tools matters most. Run both through a week of actual calls to see which suits your workflow.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Wispr Flow is a cross-platform AI voice dictation app that turns natural speech into clean, formatted text inside any application on Mac, Windows, iPhone, and Android.
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
Wispr Flow is an AI dictation tool that converts spoken words into polished, written text across virtually any app on your device. You activate it with a keyboard shortcut (the Fn key on Mac by default), speak naturally, and it inserts formatted text directly at your cursor, whether you are in Gmail, Slack, Notion, Google Docs, a code editor, or a messaging app. Rather than producing a raw transcript, Flow runs speech through layered AI that removes filler words like "um" and "uh," applies punctuation, corrects spoken backtracking, and adapts tone to the app you are writing in. It supports 100+ languages with automatic detection, plus a personal dictionary for custom terminology and a snippet library for reusable phrases. A Command Mode lets you select text and speak an instruction to rewrite or translate it. It is aimed at writers, developers, professionals, and anyone who wants to draft faster than typing. Note that Flow is a general dictation tool focused on getting text into apps, not a dedicated meeting-recording or call-transcription platform.
Best suited for
WhisperLiveKit is a free tier with paid upgrades (freemium); Wispr Flow is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | WhisperLiveKit | Wispr Flow |
|---|---|---|
| Core capability | Real-time streaming speech-to-text with low latency over WebSocket | Real-time voice-to-text dictation that inserts formatted text into any app at your cursor |
| Standout feature | Real-time speaker diarization to distinguish multiple speakers | AI auto-edits that remove filler words, add punctuation, and fix spoken backtracking |
| Team usage | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol | Command Mode to select text and verbally rewrite, condense, or translate it |
| Integrations | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation | Automatic detection and transcription across 100+ languages |
| Languages & capture | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) | Personal dictionary for custom terminology plus a reusable snippet library |
| Best-fit workflow | Voice activity detection and multi-user support on a single backend | Cross-platform apps for Mac, Windows, iPhone, and Android |
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.
Wispr Flow
Choose Wispr Flow if you need drafting emails, documents, and messages by speaking instead of typing — strengths include works system-wide across nearly any application instead of being locked to one tool.
WhisperLiveKit
Wispr Flow
It depends on your workflow. WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels, while Wispr Flow is strong for drafting emails, documents, and messages by speaking instead of typing. Both transcribe and summarize meetings.
WhisperLiveKit is a free tier with paid upgrades and Wispr Flow is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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