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Otter.ai
tl;dv
Jamie
MySpeechAudify
Fireflies.ai
TinyScribe
Fathom
Transcribe and summarize meetings with complete privacy. Shmeetings runs entirely on your computer with local AI processing.
Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | fullstacktoolkit.com | shmeetings.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of FullStackToolkit yet.
Shmeetings is a desktop app that records, transcribes, and summarizes meetings using AI that runs 100% locally on your machine. Everything stays on your computer — no cloud uploads, no data shared with third parties, no accounts to create. It works with multiple transcription engines including...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of FullStackToolkit yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing FullStackToolkit and Shmeetings.
Shmeetings's answer:
Privacy + flexibility. Otter.ai, Fireflies, and others process your data on their servers. Shmeetings keeps it on your machine. Plus you can use your own AI models instead of being limited to whatever the vendor chooses. And it's a one-time purchase, not a monthly subscription.
Shmeetings's answer:
Currently focused on individual professionals and small teams rather than enterprise deployments. Early adopters include solo practitioners in legal and medical fields who handle confidential client conversations.
Shmeetings's answer:
It's the only meeting assistant that runs everything locally with zero cloud dependency while still supporting a wide range of AI models — from Whisper to custom GGUF files. Most competitors either require cloud processing or lock you into one model ecosystem.
Shmeetings's answer:
Privacy-conscious professionals, journalists needing confidential transcription, researchers working with sensitive data, developers who want to use their own AI models, and anyone tired of subscription pricing for basic meeting notes.
Shmeetings's answer:
Built because existing meeting assistants either required cloud uploads (a non-starter for privacy-sensitive work) or locked users into expensive subscriptions with limited model choices. Shmeetings was designed to be the tool that respects both your privacy and your wallet.
Shmeetings's answer:
Electron for the desktop shell, Whisper (OpenAI) for transcription, GGUF/llama.cpp for local LLM inference, and native macOS/Windows APIs for system audio capture.
Share your experience with using FullStackToolkit and Shmeetings. For example, how are they different and which one is better?
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