Buzz vs FrankenOCR

Buzz is a workspace where humans and AI agents share the same rooms. Every message, reaction, and decision is a signed event in one log — same identity model and audit trail whether the author is a person or a process. Add an agent to a channel the same way you add a teammate. Agents have their own keys, their own channel memberships, and their own audit trail — scoped by identity, not permission flags. • Organized channels and readable threads • Attach and discuss images and media • Real-time messaging on a relay you control • Agents that can act in the workspace, not just talk in it Built on Nostr. Self-hostable. The relay is yours.

Extract text from an image or scanned PDF without uploading the document. FrankenOCR uses the same pure-Rust Unlimited-OCR engine as the FrankenOCR command-line project. Choose a photo, file, camera capture, tall scrolling screenshot, or scanned PDF. The app reads the input in memory and produces structured Markdown on the device. The flagship recognition path uses a downloaded, verified Baidu Unlimited-OCR model for careful document extraction. Tall screenshots are divided with overlap-aware smart cuts, while PDF pages are processed as a document and low-yield pages are called out instead of silently disappearing. Live Camera mode uses Apple's on-device Vision text recognition for speed. It is less accurate than the flagship FrankenOCR model, and the app labels that tradeoff clearly. Recognized words flow from their camera positions into the capture tray as the view updates. The current app ships one flagship model: Unlimited-OCR. It does not claim to include GOT-OCR2, SmolVLM2, OneChart, or a music-recognition model. Images, PDFs, camera frames, and recognized text stay on the device. Network access is used only to download the static flagship model files.