SnapNote: Offline AI Scanner

Local AI. Zero cloud AI API calls. Zero subscription fees. Unlimited use. SnapNote is a document-to-note app that performs text recognition and content organization on your device. Download and activate a local model, then capture or import pages to turn images into structured, editable, searchable, and exportable notes. No account required. No per-scan or processing fees. Documents, images, and notes are processed and stored on your device and are not uploaded to SnapNote's processing servers. Capture once. Get a useful note. - Scan documents with your camera or import photos. - Process multiple pages, then reorder, crop, rotate, and enhance each page. - Recognize text and organize content with on-device AI. - Structure titles, paragraphs, fields, and tables using document types and templates. More than OCR SnapNote does more than turn an image into plain text. It keeps the original images and recognized text alongside an organized result that is easier to read and reuse. You can compare the source, edit the content, and file the note whenever you need. Make information easy to find again - Organize notes with tags and document types. - Search saved content to quickly locate information. - Open, edit, or reorganize previous notes. - Turn scattered document photos into a personal knowledge library. Works with the documents you already use Use SnapNote for meeting whiteboards, class notes, study materials, receipts, tables, contracts, checklists, and other paper documents. Choose a built-in template for common content or create a custom template that matches your own structure. Flexible exports Export organized content as Markdown, plain text, CSV, XLSX, or PDF for further editing, archiving, or sharing. Local processing. Ongoing use. Once the model is downloaded, core recognition and organization run on your device. There are no cloud AI API quotas or monthly subscription fees, so you can use SnapNote whenever you need it. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/