CellPointer vs Raven Documents

Record the key information of the current state casually through CellPointer, because with the information anchor point, you can safely empty the current brain, enter a new state, and build a new process. The key is the information anchor point, which can be traced back at any time and reduce the burden on the brain. → One-click demo: Auto-play voices of connected nodes sequentially with dynamic subtitles, no manual review needed. Every day, there are a lot of new ideas and scenes come to mind and inadvertently become fragments of information, sprinkled in an unknown corner of the deep sea of memory, and quickly forgotten as if they had never appeared. Letting these small fragments leave traces in the real world so that they can be quickly recovered is one of the daily tasks of the little pointer. In the fantasy stage, remember it casually. When a new idea appears, it should be converted into a text record through voice, keyboard, scanning, etc. and placed on a branch line of the small pointer. This conversion process should run like a sketch of painting. Fast-generated transcript can retrieve the meaning which you’ve known. → The little pointer can switch between different branches through the previous button and the next button of the text input menu. In order to speed up this progress, a large number of backup branches can be generated in advance on a node. It is time to enter the carefully selected stage after a large number of ideas, scenes leaving a fast-generated transcript in the small pointer. → The synthetic speech of branch text can be set through the voice setting menu. The text label in the cellpointer supports attribute text. → In the setting text menu, click the corresponding switch to switch between plain text and attribute text. → The menu in the upper left corner can insert a picture for the node, and you can search for the corresponding node by specifying content. → In the settings menu, you can set whether the background is follow mode or fixed mode. → In setting mode, you can change the size of the background. The corresponding sliding bar can be pulled to the end, which can double its sliding range. The background can be two gradient colors or three gradient colors. → The sliding page can also be set to browsing mode, normal mode and compound mode. There are other setup functions, and I look forward to your attempt. In the dynamic presentation stage, the small pointer automatically shuttles through the traces left in the small pointer of memory fragments, helping you quickly retrieve ideas or situations that fall in an unknown corner of the deep memory. → In the small pointer browsing state, click the full-screen button in the upper right corner to enter the dynamic rendering stage. → The dynamic graphics in the center can be set as text or emoji in the dynamic rendering settings menu, and the emoji is recommended. → Select the node or slide the node to the center of the screen, and click the startup button in the upper left corner to automatically shuttle through the traces left by the small fragments in the cellpointer. Regarding the selection status of the node, one is to click the corresponding node, and the other is to slide the node to the center of the screen. Click the button to automatically select the node. Click on the blank area to deselect the status. → In the edit curve state, double-click the screen to enter the state selected by the previous node. For gestures, long press can restore the default size of the page and the angle of rotation. → One-finger or two-finger sliding, two-finger zoom, two-finger rotation. → Move the node, touch the screen with two fingers, the other finger can move the node on the horizontal axis, three fingers touch the screen, and the other finger can move the node on the vertical axis. Regarding the sliding bar of the menu, click the area where the sliding bar is located, and the numeric input menu can pop up and set the relevant properties.

Raven is your private open source AI assistant for iOS. It helps you work with documents, images, audio, and video files directly on your device. Nothing is sent to external servers. All processing is done locally using Apple’s Foundation Models. Raven is ideal for working with small to medium-sized files such as articles, notes, reports, transcripts, and PDFs. - Best suited for documents of moderate length - Handles long text comfortably while still providing clear summaries and answers - Designed to be fast and efficient without slowing down your device What you can do with Raven: - Extract text from images - Read and analyze PDF files - Transcribe audio files - Extract text from video content - Ask questions about your files - Summarize and analyze content - Organize chats and manage files Privacy first Your data never leaves your iPhone. Raven runs fully on your device with no cloud services and no internet required for AI features. - Designed for productivity - Create and manage multiple projects - Upload and organize your files - Take notes automatically saved - Switch between chats with ease Built for iOS Raven is made for iOS and takes full advantage of Apple’s frameworks including Foundation Models, Vision, PDFKit, Speech and AVFoundation. The full source code is available on GitHub.