About This Site
A digital journaling app that replicates a physical journal with voice recording and more. Journalizr is a journaling app designed to replicate the experience of a physical journal in the digital space. It allows users to record their thoughts in various ways, including voice recording with transcription, writing, doodling, and image storage. The app aims to provide a spontaneous and creative journaling experience, offering a simple and accessible way to document thoughts and ideas without usage limits.
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Yap: AI Meeting Notes & Transcripts
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MixMemo - Visual AI Canvas
Turn PDFs, Excel, and images into AI summaries & flashcards on an infinite canvas (Get 100 Free AI Credits!).
Experience Spatial Document Analysis! Unlike traditional AI chats, MixMemo turns your browser into an intelligent visual workspace. 🎁【WELCOME BONUS】Sign in with Google to instantly receive 100 Free AI Credits! 🚀【AHA! MOMENTS】① Visual PDF Analysis: Drag a PDF onto the canvas, let AI summarize it, and place insights right next to the original text. ② Instant Flashcards: Highlight lecture notes and let AI generate interactive Quiz sticky notes. ③ Visual Data Extraction: Paste an Excel file or image, and watch AI extract data spatially. 🔒【PRIVACY FIRST】Basic notes are saved locally in your browser (IndexedDB). Data only touches the cloud when using AI features. 💎【PRICING】Freemium (100 Free Credits on Sign-up).
talat - the private meeting notes app
Stay present in remote calls and in-person meetings while talat transcribes them in real time, using 100% on-device AI. Export your notes, transcripts, and summaries to Markdown, PDF, webhooks, or any MCP-aware AI assistant.
talat is a private, on-device meeting notes app for macOS and Windows. It captures both your microphone and the system audio from whichever conferencing app you're using, transcribes both sides of the conversation in real time, and turns each meeting into a searchable, editable transcript with an automatic summary at the end. Everything happens locally: your audio never crosses the network, your transcripts live in a database on your own disk, and there's no account to sign up for. The end result is the same kind of meeting-note workflow you'd get from a cloud-based tool, but without the cloud.
Privacy isn't a setting in talat, it's the architecture. The app ships without analytics, telemetry, or any usage tracking whatsoever, so nothing about how you use it ever leaves your machine. Transcription runs entirely on-device, using hardware acceleration where available (the Apple Neural Engine on M-series Macs, ONNX Runtime with DirectML on Windows), and summaries are generated by a local LLM by default. If you'd rather use a cloud LLM for summarisation (which tends to give better results on longer meetings), that's your call; you choose the provider, you supply the API key, and the relationship is between you and them.
In day-to-day use, talat tries to disappear. Once it's running in the background it watches for conferencing apps grabbing your microphone, and quietly starts recording when one does; Zoom, Microsoft Teams, Slack, Discord, FaceTime, and calls held in your browser are all detected, so Google Meet and other web-based services are picked up too. A brief notification tells you a recording has begun (the app should never feel like it's doing things behind your back), and from there it gets out of the way. You can also connect Apple or Google Calendar so scheduled meetings auto-promote into recordings when their time window opens, or drive everything manually with a global hotkey, the tray icon, or a drag-and-dropped audio file for offline transcription of something you recorded elsewhere.
Once a meeting exists, the natural next question is what to do with it. Every transcript is fully editable (click any line, press Enter to split, Backspace to merge with the previous one), every speaker can be named once and recognised in every future meeting, and every meeting can be exported as Markdown, PDF, or pushed via webhook to any HTTP endpoint you configure. Pointing the auto-export folder at an Obsidian vault is a popular setup; an MCP server lets Claude Code, Claude Desktop, and any other stdio MCP client search your transcripts and pull meeting context directly. A global command palette (⌘K / Ctrl+K) sits over the whole library with BM25 full-text search across titles, notes, and every utterance you've ever recorded.
Almost every behaviour is configurable; empowerment matters as much as privacy. Bring your own LLM (Ollama, OpenAI, Anthropic, Claude CLI, or any OpenAI-compatible endpoint), rewrite the summarisation prompt, pick an audio retention window from 7 days to forever, choose your transcription model (English-only or multilingual), tune the speaker-matching sensitivity, set a custom filename template, and so on.
Key Features AI
Core Features
Speech-to-text transcription
Writing and text-based journaling
Doodle and drawing capabilities
Image storage
Completely free with no usage limits
Advantages
Multiple journaling mediums (voice, text, images, doodles)
Free to use with no usage limits
Easy and hassle-free journaling experience
Replicates the spontaneity of physical journals
缺点:Limited feature set as it's still growing
缺点:May require good audio quality for accurate transcription
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30-Day Click Trend
08-22
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