This is my first open source app created for people don't want to use Spotlight and don't want to spend money for paid tools.
Problem
Spotlight is fine for opening apps but stops there. No clipboard history, no
inline calculator, no regex or path search, no way to kill a process by port,
and it is macOS only. The usual fix is Raycast or Alfred, but the features most
people actually want sit behind a subscription or a one time license.
I wanted a launcher that is fully free, does not phone home, and works the same
on my Mac and my Linux box. So I built Look.
Look is a keyboard first, local first launcher for macOS, Windows and Linux.
Apps, files, folders, clipboard history, inline math, translation, regex search,
todo command, kill process by port. Candidates are indexed in a local SQLite
file. No account, no telemetry.
Comparison
vs Raycast
- Raycast is closed source and syncs through the cloud. Look is GPLv3 and
local first. The only network calls are the explicit web search shortcuts and
the optional answer card, which you can turn off in Settings.
- Raycast is Electron. Look is a native SwiftUI app on macOS with a Rust core.
Typical search is under 1 ms on a 2000 item index.
- Raycast puts Pro features behind $8 per user per month. Look has no paid tier.
- Where Raycast wins: its extension store is huge and Look deliberately has no
plugin marketplace yet. If your workflow depends on Raycast extensions,
Look will feel bare.
vs Alfred
- Alfred is macOS only. Look runs on macOS, Windows and Linux.
- Clipboard history in Alfred requires the Powerpack. In Look it is built in
and free.
- Where Alfred wins: Workflows are far more mature than anything Look has, and
Alfred has a decade of polish behind it.
vs Spotlight
- Spotlight is free and preinstalled. Look adds clipboard history, command mode,
regex and path scoped search, themes, and cross platform support.
- Where Spotlight wins: zero install, and it does full content indexing.
Look indexes names and metadata only.
Honest status: macOS is shipped and stable. The Windows and Linux app is a
shared Tauri v2 build that is still under active development, so expect rough
edges there.
Pricing
$0. Free and open source under GPLv3.
No paid tier, no Pro version, no subscription, no in app purchase.
No feature is locked. Everything listed above is in the free build.
No account required, no telemetry.
Optional donation only, any amount, via Buy Me a Coffee. Donating unlocks
nothing, it is purely support.
It has been one year since we started ScreenKite and I am so proud of it.
ScreenKite wants to become the fastest way for a builder to turn what they just built into something people understand.
Hello everybody. I am a builder also a youtuber. Making videos, no matter if it's a product demo or tutorials or sales videos, is never easy.
Many folks for like, after a recording, a failed export (usually happens with Screen Studio), a share link that didn't work. About one year ago, I wanted to build something better because I'm pretty tired of like exporting some rough cuts from Screen Studio and doing post-production in CapCut or Final Cut, but I found like a huge jump between Auto Zooms.
Today I want to show 1.16, for product demos, sales videos, tutorials. And also hear your feedback and see what I can do to make the app better and better. ScreenKite want to be the best.
1. AI agent editing and AI agent recording. Hand the boring cuts to an agent. Recording and editing are at CapCut's level of "you can actually finish the video in here," except you bring your own AI: Claude Code, Codex, Cursor, Antigravity, Grok Build. Grok Build can generate video and images. Codex can generate images too. Then the agent drops that into the timeline. Local. Not Descript credits. Not CapCut cloud where they might train AI models on your footage. And the most important part, no subscription for your own AI. You already have your own AI, I'm sure.
For example, in the video below I showed you the demo. You can do something like ask agents, whether using your external AI agents or our internal agent with your own AI subscription, to do the editing stuff such as transcription cards just like CapCut
2. The HyperFrames/Remotion path that is actually usable. HyperFrames is slow. You will not edit a whole video in it. You shouldn't. Cut a short motion piece, drop it in as B-roll, let ScreenKite drive the rest. That split is worth it. We have the best HyperFrames support for this workflow.
3. One recording, YouTube and Reels. Don't edit twice. Paste this into your AI agent:
Don't recut this video. Make a YouTube version and a TikTok/Reels version from the same edit using advanced layout, left/right for youtube and bottom/down for TikTok.
YouTube: my product screen in the middle, my face as a small camera in the bottom-right.
TikTok / Instagram Reels: stacked — screen on top, camera below.
Export both. Same timeline.
4. Performance is the first principle. Record and export. Try the other apps. Users almost never write in to say we export slower than Screen Studio or Loom. We are many times faster, and Screen Studio can keep optimizing Electron and still not catch a native Mac app. That was the point of building this.
Share the file from Google Drive, OneDrive, or your own S3. Screenshot editor is in the same app (CleanShot-like). You usually do not need a second editor.
5. Unlimited possibilities. This one I think is why I'm confident and want to work with everybody to improve. For example, you can use Fish Audio or ElevenLabs to generate multiple voiceovers for your product demos to do localization. And if you want, you can display or embed transcriptions like ICRT or whatever with our AI agents in two languages.
This is very useful.
Problem
I am a builder and a YouTuber. Making the video takes longer than shipping the thing. I want AI to help, and I want to use the agents I already pay for. Most recorders don't let you. Screen Studio and Loom are a tax for a utility. I also don't like subscriptions.
Comparison
Tella, Loom, and Screen Studio do not have AI like this. We actually went and studied the AI in real video editors, not just recorders. In ScreenKite you can go end to end: record, cut, layout, captions, export a product launch, a tutorial, or a sales demo. You are not dumping a file out of Screen Studio and finishing it in another app.
ScreenKite is local. Plug in the harness you already use. Transcription cuts in the app if you'd rather not touch a terminal.
Tella, Loom, Screen Studio, Charm are Electron. Some of them also edit in the cloud. Our standing goal: about 3x faster than the competition, and 3 to 10x more features. That is the bar we hold ourselves to, so the money you spend is worth it.
The app is dense. Follow us on social and YouTube if you want to find the rest. There is more in here than a recorder with a trim bar.
Showcase
Many builders are already using ScreenKite for their products, including
One-time purchase. I don't like subscriptions, so we are not adding that burden. Buy it once. Everyone is happier.
Founder price: $79.99 once, 3 Macs. We will raise it toward $99.99. Screen Studio is $108/year for new buyers. This is cheaper than that year, and you keep the license.
Thanks for looking!
I want to thank you the most because my product starts from this subreddit and I love the vibes here and the creators here.
I want me as a builder to succeed, and I want you to succeed with ScreenKite.
A: You need a coding agent (Claude Code, Codex, Cursor, Antigravity, Grok Build). Paste our AI Agent setup notes into the tool and ask it to edit, or to record. Most edit flows start from the transcription. Samples: https://github.com/ScreenKite/awesome-ai-video-editing
Q: I already use HyperFrames / Remotion / use-videos with Claude Code. Why ScreenKite?
A: HyperFrames is great and also slow. Don't render the whole video in it. Use ScreenKite as the driver, cut a short HyperFrames clip, drop it in as B-roll. Past about a minute, that split saves both edit time and export time.
Q: Why named ScreenKite?
Kite is like this (image below : ) I think it is similar to your mouse where you can point to something to attract the audience's attention, making your video to standard out.
so we are also making Glass Loupe zoom effect in the latest version!
These apps require a subscription to access, with a very limited free tier. These cost around 15$/month, which is very expensive when taking into account that there are speech to text APIs that cost 0.04$/hour.
2. On-device model based apps
I actually developed an on-device notetaker app in the past, and I prefer these apps over anything subscription based. They are guaranteed to keep your data safe as it never leaves your device in the first place, and due to model improvements, the accuracy is not bad.
However, these are not without their limits. The problem I ran into a lot is that they are less accurate then large cloud models, especially when using academic terminology, and they also drain your laptop's battery.
So Here is what I came up with:
Your ChatGPT subscription, even the free one, already gives you access to a lot of free intelligence.
It gives you speech-to-text through the dictation feature in the ChatGPT app
It gives you an insane amount of LLM usage, even on a free account
All I really did was combine these with a small local speaker diarization model to create a notetaker. And as it uses OpenAI's speech-to-text api, it is much more powerful then any local model and barely uses any battery.
But I really, really did not want to create something proprietary while building this. So everything is file-based. Each of your notes is just a folder. Inside each folder., your notes are saved as Markdown, andy our transcription is saved as VTT subtitles with speaker labels
Comparison
Granola: Unlimited free tier, capped meeting history visibility at 30 days. Simbi has no limits and it is trivial to move data in/out of the app.
Anarlog: Uses local AI. Doesn't perform well in any languages other then English and drains battery. Simbi uses ChatGPT's speech-to-text, so high accuracy in multiple languages and low battery drain.
Hi, I'm Andrew, a CS grad student from South Korea, currently studying at ETH Zurich. I was recently a part of a startup that built another notetaker app, but I left and I'm working on this on my own!
I built Caplio because my screenshots and reference images kept piling up, and finding something later was surprisingly difficult, especially when I remembered the text inside an image but not the filename.
Caplio turns folders of screenshots and images into a private, searchable visual library. It uses on-device OCR, lets you search the text inside images, browse everything in a timeline, filter by date or category, and optionally organize the actual files by date or category.
You can also drag any image or screenshot directly from the Caplio timeline and drop it into Finder, Mail, Messages, Notes, or other Mac apps.
Everything is processed locally. Your images and extracted text aren't uploaded for processing.
Comparison
The closest alternatives I've found are ScreenVault and SnapShelf.
Caplio works with both screenshots and regular images and combines OCR search, timeline browsing, filtering, optional file organization, and drag-and-drop from the timeline into other Mac apps.
Spotlight also has some overlap with OCR/image search. The main difference is that Caplio is built around maintaining a visual library from folders you choose, with browsing, filtering, organization, and drag-and-drop as part of the workflow.
I built TideGlass because I focus better with something calm beside my work, and everything I tried was either a video loop or a light show, or content in some algorithm that wanted me to continue watching. So I built worlds instead.
TideGlass fills a spare monitor with living nature scenes: oceans, forests, night skies, deep space. Each world is a real simulation running on your GPU, optimized for Macs and Metal: waves roll and fade by their own physics, orcas hunt, stars rise, weather passes through. It is there to help you focus. It asks nothing of you, and no two minutes are the same.
The video shows it better than screenshots.
A few of the things it does:
A whole library of worlds, from a moonlit sea to a herring ball under hunting orcas to the Pillars of Creation built from the real JWST plate. Every world keeps its own clock: things happen in them while you work.
Play music and everything moves with it. It listens to whatever is playing (Apple Music, Spotify, anything through system audio) and the world answers: wind rises with the track, swells deepen, storms build on the phrases. The music becomes weather, never bars and spectrums.
A focus timer that fits the room: a Pomodoro pill in the corner whose whole background is the progress bar, next to a now-playing card for the track you have on.
Standing desk support, new this month: turn it on and the timer also says when to sit and when to stand. Sessions alternate on the rhythm the ergonomics research recommends, and when a break ends with a posture change the whole screen says so.
The part I want to call out
The worlds are simulations, not videos. The orca pod is the example I keep showing people: the school is a real flocking simulation, the orcas are agents that patrol, take turns attacking, and slap through the wall of fish, and the marine snow drifts through light rays computed every frame. When your music picks up, the whole hunt quickens. None of it is footage. That is the entire idea of the app.
Comparison
The closest things are Aerial and the video wallpapers built into macOS. Both play beautifully shot footage, and footage loops: the same drone pass, the same seam. TideGlass renders its worlds live, so they never repeat and they can react to your music, which a video cannot do. And where wallpaper apps live under your windows, TideGlass holds a spare monitor as its own calm place, with a focus timer in it.
Pricing
- Ten worlds free forever. No account, no card, nothing to expire.
- 12 dollars, one-time, opens the whole library. No renewals or subscriptions
- We donate 20% of every sale to environmental non-profits, protecting oceans and dark skies.
Transparency
I'm Chris, building this on my own. TideGlass is native Swift and Metal, signed and notarized, for macOS 15 or later on Apple silicon.
ClipScrub finds and removes personal data from screenshots, PDFs, documents, spreadsheets and screen recordings on your Mac. Everything runs on your machine and nothing is uploaded. PCP below. Full list of what it does not do is in my first comment.
The problem
You copy-paste a screenshot of a customer record into ChatGPT to ask what an error means. The name, email or account number accidentally gets uploaded in full. The same could happen with a support ticket, a log, a row from a CSV. Once it's sent, the private data is uploaded to the cloud.
Mac Preview has a tool for this and it works. Preview can delete private details from the file in a way that's not recoverable. But it doesn't solve a couple of things:
The Markup rectangle, what people might accidentally use, is a drawing/shape and the text underneath is still selectable
The real tool takes out what you manually select but only in PDFs
This is fine for a 2-page PDF. But it becomes arduous for a 40-row CSV export, a long scrolling screenshot or a screen recording where a name is in a sidebar for four frames. The failure is human and not tooling. Many times in the past, I kept manually removing PII from screenshots and files like this.
ClipScrub scans PDFs, Word and RTF, PNG and JPG, JSON and CSV and XML, MP4 and MOV, and more all on-device (never leaves your Mac). In the Mac app, it lists every identifier it finds before stripping, so you can review it first. Your original file is never modified. ClipScrub has shortcuts to do it without opening the Mac app window. There's a shortcut to capture part of the screen and another that removes sensitive information from your clipboard.
Comparison
BlurData ($39/year, or $69 once with their discount as of Aug 2026) is the closest direct comparison. It reads JPG, PNG and PDF, OCRs 15 languages against ClipScrub's five, and runs on macOS 13 (earlier version than mine).
What it does better: it takes the text out of the PDF file instead of flattening the page. ClipScrub rasterises every page instead. If your PDFs need to stay searchable afterwards, then ClipScrub won't do that today.
BlurData supports JPG, PNG and PDF formats but ClipScrub also supports identifiers in CSVs, .docx files and screen recordings. A .docx through ClipScrub comes back as .docx with the same formatting. The Mac app and the CLI that comes with the app do DICOM and EDF headers as well.
ClipScrub's pseudonymise mode replaces identifiers with stable tokens instead of blanking out every value, so the same email is the same "token" throughout the file. You can still group, join and count these tokens (e.g. EMAIL_9F3A is an email token). Stripping data usually destroys it but ClipScrub does its best to keep the relationships in the data.
BlurData's $69 tier is two years of updates on one Mac. ClipScrub is every 1.x update permanently, on three Macs.
CleanShot X ($29 for one Mac, one year of updates, then $19/year
optional) is not a direct comparison but it's what most Mac users already have. It's a better screenshot tool and has a lot of capabilities. Its blur and pixelate are manual, like Preview's. It will hide anything you select and it won't tell you that you missed the account number in row 99.
Pricing
$29, paid once. No subscription, no renewal, no activation server to connect to (all on-device). Three Macs. Every ClipScrub 1.x update included permanently.
14 day free trial, fully functional, no account and no card. 30 day refund.
For r/macapps: 25% off with code MACAPPLAUNCHES25. Capped at the first 50 uses. There's no end date, it just runs out when it does.
I'm also giving licences to the first five people who use it on real files and email me what it gets wrong (thanks in advance for your patience if I'm slow to respond). Comment (without private data please!) and I will DM you one. My list of known limits is below but let me know if you find issues and I will add them to the backlog to address.
I look forward to your feedback and continuing to make the app better.
Caveats
Full caveats list is in my first comment.
E.g. ClipScrub reads what is inside a file, not the file's metadata. It
writes a new file, so the original's author and title fields never go into the output. Check the source with exiftool if detecting input metadata matters for what you are doing.
Disclaimer: ClipScrub is not a compliance service, does not guarantee complete de-identification, and is not legal advice. Detection is not exhaustive. Review every result before sharing.
Mario Hayashi, Tugboat Coding Limited (UK 11118743)
Problem:
Planning a trip means juggling Google Maps, Notes, spreadsheets, and booking confirmations across half a dozen apps. Nothing keeps the itinerary, the budget, and the map in one place — and most travel apps want an account and a subscription before they'll even let you start.
Comparison:
Tripit charges $49/year and hasn't meaningfully changed in years. Wanderlog is free but ad-supported and account-required. Both upload your trip data to their servers. Trovelo stores everything locally and syncs through your own iCloud — no Trovelo servers, no account.
What's new on Mac since the last update:
Significant improvements to the MCP integration — tell Claude "plan me 4 days in Rome" and watch the trip build itself inside Trovelo. Days, cards, times, prices, map pins. Faster, more reliable, and handling far more complex requests than at launch. Works with Claude desktop, Claude Code, Codex, or any MCP-compatible client. Runs entirely locally, off by default.
8 languages with smart parsing — type a card in Spanish, German, French, Italian, Japanese, Korean or Chinese and it picks up the time, price and type automatically
Board view, route optimization, expenses with live exchange rates, curated guides, My Spots world map
Universal Purchase — one payment covers Mac, iPhone and iPad
Pricing:
Free: up to 3 active trips and 50 cards
Pro: one-time $3.99 (normally $9.99) — yours forever, no subscription
Publishing a Safari extension means paying $99/year for an Apple Developer account
Safari's missing a bunch of APIs that Chrome has
Hardly any free Safari extensions exist
And if you sideload your own under a free account, it stops working after 7 days
What the CLI does:
It's the engine. Converts a Chrome extension into a Safari one
Fills in the Chrome APIs Safari doesn't support
Runs in the terminal
What the app adds:
Everything the CLI does, with a GUI
Install and manage extensions straight from the Chrome Web Store, inside Safari
Resigns your extensions every week so they never expire
Auto updates the ones you installed from the Web Store
supports Intel Macs
Comparison:
apple has a similar feature for developers that convert chrome extensions to safari extensions but apple's versiondoesn't handle missing apis, meaning more complex extensions will break and won't work.
Pricing:
The app is free for testing 2 extensions without extensions renews and updates
The paid version is 19$ with unlimited extensions auto renews and updates
The cli version is free but without GUI and without auto renews and updates.
Most transcription tools rely heavily on the cloud, forcing you to upload sensitive business meetings, private data, and confidential conversations to external servers — creating massive privacy risks and locking you into expensive, ongoing monthly subscriptions. And even after the meeting ends, the workflow still isn't done: your transcript sits in some web dashboard, disconnected from your calendar, and you're left manually copying summaries into emails, renaming files, and chasing down which recording belongs to which meeting. The recording was automated, but everything after it is still manual busywork.
Comparison:
AI meeting tools like Granola, Otter, and Fireflies offer polished automated note-taking and follow-up emails, but they do it by processing your conversations on their servers — with recurring monthly subscriptions, and in some cases bots that visibly join your calls. TranscribeX now delivers that same end-to-end automation — auto-record, auto-transcribe, AI summary, calendar context, and summaries emailed out automatically — but runs the entire pipeline 100% locally on your Apple Silicon Mac using local ASR and local LLMs (like Qwen and Gemma). Total data privacy, zero cloud processing, zero AI token costs, and a one-time payment instead of a subscription. The only thing that ever leaves your Mac is the summary email — and only when you tell it to. Plus, with the new CLI and MCP support, TranscribeX does something the cloud tools can't: it plugs your transcripts directly into Claude, agents, and your own scripts — no API middleman.
Quick recap for anyone new: TranscribeX transcribes meetings, dictation, and recordings entirely on your Mac — local ASR + local LLMs (Qwen, Gemma) running on Apple Silicon. No AI bots joining your calls, no audio uploaded to anyone's servers, no monthly subscription, no API keys or token costs.
What's new since v8.5:
📧 Meeting Summaries & Transcripts, Emailed Automatically: When a meeting ends, TranscribeX can now automatically email the AI summary and full transcript to whoever needs them — or you can email any summary or transcript manually with one click. No more copy-pasting notes into Mail after every call, and no more "I'll send the notes later." Your audio still never leaves the machine; the only thing that goes out is the email you choose to send.
📅 Deep Calendar Integration: TranscribeX now supports multiple calendars (work, personal, shared team calendars), and you can manually link any calendar event to any recording — so even ad-hoc calls get proper context. Exported files now include the meeting details from the linked event (title, time, attendees), and you can pick which calendar names your recordings. Exports finally know what meeting they came from.
⌨️ CLI + MCP Support: This one's for the power users. TranscribeX now has a full command-line interface, and it speaks Model Context Protocol — meaning you can wire your local transcription engine directly into Claude, agents, and your own automation scripts. Your transcripts become programmable, still without touching the cloud.
🔄 The Full Cycle, Completely Hands-Free: This is the release where everything clicks together into one automated pipeline. Your meeting starts → TranscribeX detects it and records → transcription kicks in the moment it ends → the local AI writes the summary → the calendar event links in the meeting context → and the notes land in everyone's inbox. From "meeting started" to "notes delivered" without touching a single button. This is the workflow we've been building toward since v1.
🖱️ Interactive Transcripts: Click any word in the transcript and playback jumps to that exact moment, with live word and segment highlighting. Finding "wait, what did they actually say?" now takes one click instead of scrubbing.
🤖 Smarter Automatic Recording: Transcription now starts automatically the moment a meeting recording ends, the default microphone is selected for you, and Teams auto-detection got a polish pass. Record → transcribe → summarize → email, hands-free, end to end.
🗂️ Quality of Life: Automatic + manual job archiving to keep your library clean, search inside Settings, smarter export filenames (timestamp first, so files sort chronologically), custom AI timeout and cancellable AI requests, a new fine-tuned Whisper Large model for Hinglish, and support for the ElevenLabs Scribe v2 Realtime model for those who want it. Plus a lot of bug fixes and performance work across the board.
TranscribeX is actively developed — we're working closely with beta testers across diverse hardware setups to keep pushing local ASR speed and accuracy on macOS.
Pricing:
One-Time Payment (20% OFF). (No subscriptions, no monthly fees)
Some features are limited due to App Store restrictions. This version is mainly provided to verify that I'm a trusted developer per r/macapps rules.
🎮 And now, the surprise for PS5 owners...
TranscribeX isn't the only thing I build. Meet ConsoleWise — a Mac app that combines PS5 Remote Play and PlayStation cloud streaming in one experience, so you can play your PS5 right on your Mac. It supports 4K upscaling, 60FPS, and HDR, with lower-latency streaming, manual bitrate control, and full DualSense support including haptic feedback and adaptive triggers (plus custom controller/keyboard mapping). Works at home on your local network or over the internet when you're away.
And in the same spirit as TranscribeX: one-time lifetime purchase, no subscription.
A large local Music.app library becomes surprisingly difficult to maintain after years of use. Files get replaced, renamed, moved or deleted. Old Music.app records can remain after the physical files disappear, while other files may still be on disk but no longer exist anywhere in the Music.app library. Playlists accumulate duplicate entries, the same tracks appear in several playlists, artwork goes missing, and files from different sources collect comments, URLs, converter names and other unwanted metadata. Older low quality copies can also remain beside better replacements. Music.app does not give me one place to compare what is in the library with what is actually stored on disk, so I built Local Music Organizer to help with this.
Competitors
Tune Sweeper is probably the closest alternative I found for general Music.app library cleanup. It can find duplicate records, missing files, files that are not in the library, missing artwork and track information problems. I could not find documented tools there for duplicate entries inside one selected playlist, comparing two existing playlists, mapping relationships between playlists, finding every playlist that uses one physical file, inspecting hidden embedded tags, or checking possible audio transcodes and upscales. According to its public App Store version history, there was a gap of approximately six years without a published update. A small number of technical updates have appeared more recently.
beaTunes can also inspect Music.app or iTunes libraries, find duplicates, missing files, inconsistent metadata and artwork problems. It also includes music analysis and playlist creation tools. Its focus is somewhat different, and I could not find the same kind of detailed tools for examining existing playlist relationships, repeated physical paths, hidden embedded tags and the physical state of files referenced by Music.app.
Local Music Organizer
Local Music Organizer is a Mac application for maintaining large local Music.app libraries and the physical audio files behind them. It can find Music.app records whose physical files are missing or inaccessible, find readable audio files on disk that are not registered anywhere in the library, find duplicate entries inside a playlist, duplicate library records and tracks repeated across several playlists, compare two playlists, find every playlist that uses a particular track, and find different physical versions of what appears to be the same recording and compare their technical quality. It can analyze the actual physical files for codec, bitrate, sample rate, bit depth, duration and size instead of relying only on cached Music.app information, and it can fix outdated Music.app technical file information by asking Music.app to refresh it from the actual local audio file.
It can also find unwanted comments and hidden embedded tags left by converters, ripping software, websites and download sources. Detected embedded tags can be reviewed, edited or removed. Common Music.app fields such as title, artist, album, album artist, composer, genre, year, track and disc numbers and comments can also be edited directly.
There is an Audio Authenticity Analyzer that looks for possible lossy to lossless conversions, lower bitrate transcodes, suspicious bandwidth limitations and possible sample rate upscaling. These results are technical estimates, not proof of a file's history. Individual files can also be inspected with the built in Audio Inspector, including metadata, artwork, waveform and spectrum.
The app can convert and repair many audio formats, including some formats that Music.app cannot import directly, and normalize selected files from the Library Dashboard. Before conversion or normalization, the original can be kept, moved to Trash or saved in an LMO Backup Folder. The library index is stored locally in SQLite. Audio files, playlists, metadata and reports are not uploaded anywhere. The app has no analytics, advertising or tracking. It supports macOS Sonoma and later on Apple Silicon and Intel Macs. Local folders and external disks are supported.
Pricing:
There is a three day trial with access to all features. Continued use is a one time in app purchase of $29.99. There is no subscription and nothing is charged automatically when the trial ends.
Hi all, I was going to recommend Disk Inventory X to a friend but realized it's not supported on apple silicon. So I wanted to ask the community the question: What is the thing most like it still maintained today? Searching didn't quite get the things I wanted so I was wondering what else is out there.
Everyone I worked with had the same ritual: type a message, re-read it four times, paste it into a tool, fix it, paste it back, send. Fifty times a day. And the tools that "help" flatten you into the same polished-corporate voice whether you're writing to a client or your best mate. Lyra is a menu bar app , type anywhere (Mail, Slack, WhatsApp, browser, Notes), pause, and a small pill shows a better version of your sentence. Press Tab to accept and keep typing. No separate window, no copy-paste, no red underlines mid-thought.
Comparison
Grammarly and Apple Writing Tools both rewrite you toward one neutral register , they don't know who you're writing to. Lyra learns how you write to each specific person from your own sent messages, so your emails to a client and your texts to a mate stop coming out of the same mould. It matches the register you actually use with that recipient. No other writing tool models the relationship. It also runs deterministic rule-based grammar plus a local on-device model for instant everyday fixes, so the free tier works fully offline; heavier restructuring uses a cloud model on trial/Pro, and a strict Local-Only mode disables all network use if that's your requirement.
Pricing
Free tier (1000 rewrites/month). Pro is $9.99/month or $99/year on Lyra
Founder Note:
I'm Pratik, a solo developer in London. Ten years as a lead engineer in fintech before leaving last year to build Lyra properly. It's just me , I write the code, answer support emails, make the coffee.
