AutoMemo: Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares. 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. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist AutoMemo when capturing and transcribing in-person business meetings matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis matters most. Run both through a week of actual calls to see which suits your workflow.
Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
AutoMemo (オートメモ) is a transcription AI developed, sold, and supported by Sourcenext Corporation in Japan. It is built around a multi-surface approach: users can capture audio through a web browser app, a dedicated smartphone app, or standalone hardware voice recorders (the AutoMemo S and AutoMemo R devices), and the captured audio is automatically converted to text. The service uses a Whisper-based speech recognition engine, automatically inserts punctuation, removes filler words such as Japanese hesitation sounds, and recognizes speakers so that transcription results are divided into speaker blocks. On top of the transcript, AutoMemo can automatically generate summaries and extract to-do items and deadlines, and it has added features such as AI-generated titles for recordings. Audio and transcripts are saved to the cloud for later editing, searching, and sharing. AutoMemo positions itself for business meetings, interviews, and lecture capture in Japanese-language workflows, and offers a limited free transcription allowance with paid plans for higher usage. It remains actively developed and marketed in 2025/2026. 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
AutoMemo 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 | AutoMemo | WhisperLiveKit |
|---|---|---|
| Core capability | Records via web app, smartphone app, or dedicated voice recorder hardware | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Whisper-based speech-to-text with automatic punctuation | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Speaker recognition that splits transcripts into per-speaker blocks | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | AI summaries with to-do and deadline extraction | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Automatic filler-word removal | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Cloud storage with editing, search, and sharing | Voice activity detection and multi-user support on a single backend |
AutoMemo
Choose AutoMemo if you need capturing and transcribing in-person business meetings — strengths include multiple capture options including standalone hardware recorders.
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.
AutoMemo
WhisperLiveKit
It depends on your workflow. AutoMemo is strong for capturing and transcribing in-person business meetings, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
AutoMemo 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.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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