PixelRead AI OCR
Capture, translate, and understand any text on your Mac
What it does
PixelRead turns any text on your Mac screen into something you can use. Select text directly or press ⌘⇧2 and draw a region over an image, video, PDF, website, or app. Then copy it, translate it on-device, listen with system voices, or use Apple Intelligence to summarize, rewrite, extract key details, and ask questions. OCR, translation, and AI processing stay on your Mac. Free for macOS 15.2+; Translate and AI features require macOS 26.
PixelRead captures text from anywhere on your screen, then lets you copy it, translate it, summarize it, or ask questions about it.
PixelRead is now free: the trial and lock screen are gone, updates are on for everyone, and you can request features right from the app. PixelRead captures text from anywhere on your screen, then lets you copy it, translate it, summarize it, or ask questions about it. Press ⌘⇧2 and drag over text in an image, video, PDF, website, or app. Instant OCR turns those pixels into usable text. Translate it on-device, or—with Apple Intelligence on a supported Mac—summarize, rewrite, extract key details, and ask focused questions without sending the text to a server. Every review comes from a verified purchase. Only profile first names are shown publicly. Payment details and location-based taxes are…from appunbound.com
Does the same job
all alternatives →
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com