AutoMemo: Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares. OpenWhispr: Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist AutoMemo when capturing and transcribing in-person business meetings matters most, and OpenWhispr when turning rough in-meeting notes into structured summaries and action items matters most. Try them side by side on real calls before deciding — needs vary by team.
Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares.
Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes.
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
OpenWhispr is an open-source desktop application for macOS, Windows, and Linux that converts speech to text and includes a meeting notes capability built on the same engine. Its core function is global-hotkey dictation that inserts transcribed text at the cursor in any application, but it also ships an AI Notepad for meetings, an AI Chat that can reference past meetings, and an audio upload feature for transcribing recorded files. For meetings it captures the computer's audio directly rather than sending a bot into the call, transcribes the conversation in the background, and combines rough notes with the transcript to produce structured minutes that highlight decisions, action items, and next steps. Transcription can run locally using bundled Whisper and NVIDIA Parakeet models or connect to cloud models with a bring-your-own-key setup, and the project emphasizes that audio can be processed and discarded for privacy. The codebase is publicly available on GitHub and the app is actively maintained through 2026. It is aimed at developers, writers, and individuals or small teams who want a private, auditable, cross-platform transcription and meeting-notes tool. Pricing varies by plan. Check the official website for current pricing.
Best suited for
AutoMemo is a free tier with paid upgrades (freemium); OpenWhispr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | AutoMemo | OpenWhispr |
|---|---|---|
| Core capability | Records via web app, smartphone app, or dedicated voice recorder hardware | Open-source and auditable, with code published on GitHub |
| Standout feature | Whisper-based speech-to-text with automatic punctuation | Cross-platform desktop app for macOS, Windows, and Linux |
| Team usage | Speaker recognition that splits transcripts into per-speaker blocks | Local transcription via bundled Whisper and NVIDIA Parakeet models |
| Integrations | AI summaries with to-do and deadline extraction | Bring-your-own-key cloud model option for flexibility |
| Languages & capture | Automatic filler-word removal | AI Notepad that turns rough meeting notes plus transcript into structured minutes |
| Best-fit workflow | Cloud storage with editing, search, and sharing | Full-text search and AI Chat across captured meetings |
AutoMemo
Choose AutoMemo if you need capturing and transcribing in-person business meetings — strengths include multiple capture options including standalone hardware recorders.
OpenWhispr
Choose OpenWhispr if you need privately transcribing computer-audio meetings without a bot joining the call — strengths include fully open source, so users can inspect and self-host the code.
AutoMemo
OpenWhispr
It depends on your workflow. AutoMemo is strong for capturing and transcribing in-person business meetings, while OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call. Both transcribe and summarize meetings.
AutoMemo is a free tier with paid upgrades and OpenWhispr 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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