AutoMemo: Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist AutoMemo when capturing and transcribing in-person business meetings matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
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 AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
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
Scriberr is an open-source, self-hosted audio transcription application aimed at people who want to keep recordings and transcripts on their own hardware. It uses the open-source Whisper family of models (via the WhisperX engine) to transcribe audio and video files entirely offline, with no requirement to send data to a cloud provider. The project is distributed under the MIT license and is packaged as a single binary, with a Go backend and a Svelte frontend compiled into the binary, while Python handles the underlying AI transcription. Beyond raw transcription, Scriberr can automatically detect and label different speakers (diarization), generate summaries using custom prompts, and let users chat with a transcript by connecting to Ollama or OpenAI-compatible providers. It includes a transcript reader with playback follow-along and seek-from-text, a built-in audio recorder, note-taking, and a folder watcher plus API endpoints for automation and integration with tools like n8n. The maintainer publicly noted development is paused but not abandoned, and community contributions are welcome; the most recent release at the time of review was v1.2.0 in December 2025. Pricing varies by plan. Check the official website for current pricing.
Best suited for
AutoMemo is a free tier with paid upgrades (freemium); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | AutoMemo | Scriberr |
|---|---|---|
| Core capability | Records via web app, smartphone app, or dedicated voice recorder hardware | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Whisper-based speech-to-text with automatic punctuation | Automatic speaker diarization (who said what) |
| Team usage | Speaker recognition that splits transcripts into per-speaker blocks | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | AI summaries with to-do and deadline extraction | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Automatic filler-word removal | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Cloud storage with editing, search, and sharing | Folder watcher and API endpoints for automation workflows |
AutoMemo
Choose AutoMemo if you need capturing and transcribing in-person business meetings — strengths include multiple capture options including standalone hardware recorders.
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
AutoMemo
Scriberr
It depends on your workflow. AutoMemo is strong for capturing and transcribing in-person business meetings, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
AutoMemo is a free tier with paid upgrades and Scriberr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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