screenshat vs Token

screenshat captures full-page web screenshots at the sizes you actually ship. Paste one URL, choose from 18 presets, and get social cards, mobile viewports, and high-resolution exports back in one job. If you've ever tried to grab a clean OG card on a phone, you know the drill: screenshot, crop, resize, repeat for every size, and the result still only covers the visible viewport. screenshat renders the page at every size you picked and hands them all back together. WHAT YOU CAN DO - Capture a page across 18 presets in one run: Open Graph and social cards, iPhone, Pixel, and iPad viewports, plus 2K through 16K output in portrait and landscape. - Watch each screenshot appear as soon as its preset finishes instead of waiting for the whole job. - Select any combination of finished shots to save to Photos or share as PNGs, or download the complete job as a ZIP. - Retry only the presets that failed instead of starting everything over. - Send a link from Safari with the Share or Action extension. The URL is waiting in the capture form next time you open the app. - Give slow pages time to settle: wait for full load, network idle, or add a fixed delay before the shot. - Reopen captures from on-device history to check progress or export the files again. THE HONEST PART - Public pages only. Sites behind a sign-in won't render. - Captures run on the screenshat server, not on your phone. Your URL goes to the server; the PNGs come back. - Full-page means full page: the rendered document top to bottom at the preset's exact pixel size, not a viewport crop. - No account. The in-app history index stays on your device; capture jobs and PNGs remain on the server until deletion or the roughly 30-day retention window expires. ON IPAD Sidebar navigation, a wider capture form, and a list-and-detail history view. Made by Luke Steuber. Questions: luke@lukesteuber.com

Token AI is a private AI studio for your iPhone. Download open models, run them on the device, and keep every conversation on your iPhone. FRONTIER MODELS ON YOUR IPHONE • Experimental 35-billion-parameter mixture-of-experts models, Edge0 35B and MiniCPM-V 4.7 35B, stream their experts from storage. They need a large download, and MiniCPM-V 35B needs an iPhone with 12 GB of memory. • Ternary Bonsai 2 9B and Bonsai 27B: ternary and 1-bit models that fit more capability into iPhone memory, with text and image understanding. • Qwen3.5, Qwen3, Llama 3, Gemma, Phi-3.5, LFM2.5, Nemotron and Granite, in MLX, GGUF and Apple Core AI formats. • Import your own compatible MLX or GGUF models from Files. CHAT, REASON AND CODE • Reasoning models show their thinking, and long chats are compacted to stay within the model's context window. • Attach photos and files in any chat. Vision models read images directly; other models get a description from an on-device visual model. • Choose a model for each conversation, pin chats, and search every message. • Optional web search, a document knowledge base and GitHub repository tools. LENS, VOICE AND IMAGES • Lens: use the camera or a photo and ask about it with SmolVLM 2, Gemma 3 and other vision models. • Voice conversations with on-device speech recognition (Whisper) and natural voices (Kokoro, Kitten TTS). • Image Studio: create pictures with Stable Diffusion, SDXL Turbo and other local image models, with optional PIN-protected parental controls. FOR BUILDERS • An authenticated local API server for OpenAI-, Anthropic- and Ollama-compatible tools on your trusted network. • Optional API providers with your own keys. • An on-device classifier workbench, Shortcuts and Siri actions, a share extension, and Live Activities for downloads. PRIVATE BY DESIGN No account, analytics or ads. Conversations are stored only on your iPhone. Model downloads, web search, API providers and GitHub use the network only when you turn them on. Requires iOS 27 or later. Works on iPhone Duo. Available models depend on your iPhone's memory, and model files are downloaded separately and can need several gigabytes of storage. AI results can be inaccurate; review them before relying on them.