气泡表情包 vs DocWeave

气泡表情包是一款简单易用的表情包制作工具，帮助你快速生成个性化的聊天气泡表情。 主要功能 实时预览 在编辑过程中实时查看表情包效果，所见即所得。 自定义文字 点击气泡即可编辑文字内容，支持多行文本输入，轻松表达你想说的话。 个性头像 从相册选择你喜欢的图片作为头像，支持圆形和方形两种裁切方式。 丰富配色 提供微信绿、蓝色、红色、紫色、黑色等多种预设颜色，还可以使用颜色选择器自定义任意颜色。 多种字体 支持系统黑体、圆体、衬线体三种字体风格，满足不同场景需求。 挂件标签 可以在头像旁边添加个性化的文字挂件，让表情包更有特色。 透明背景导出 默认导出透明背景的PNG图片，添加到微信表情后发送效果更佳。 批量生成 输入多行文案，一键批量生成多张表情包，提高制作效率。 高清导出 导出的图片清晰锐利，在各种聊天场景中都能保持良好的显示效果。 自动保存 你的设置会自动保存，下次打开应用时会恢复上次的编辑状态。 使用场景 日常聊天斗图 工作群消息回复 朋友圈评论互动 社交媒体表情制作 立即下载，开始制作属于你的专属表情包吧

Turn PDFs, images, and paper documents into structured content you can actually edit and reuse. DocWeave runs an AI document recognition model locally on your device. Import PDFs or images, scan paper documents, book pages, and lecture notes with your iPhone or iPad, or capture scrolling webpages and long articles through screen recording. Once the local model is installed, recognition works without an internet connection, and your documents never need to be uploaded to a server. What It Can Do • Scan Paper Documents Automatically detect and continuously capture pages on iPhone and iPad, then add them to the processing queue. Ideal for book pages, lecture notes, receipts, and temporary documents. • Capture Scrolling Content Record scrolling webpages or long articles and automatically stitch them into a long screenshot. Before recognition, you can remove ads, duplicate sections, and irrelevant content. • Understand Complex Layouts Go beyond plain text. DocWeave can recognize paragraph structures, tables, LaTeX formulas, code blocks, and algorithm blocks. • Export in Four Formats Generate reconstructed PDF, Markdown, EPUB, and MinerU packages in one pass—ready for reading, editing, archiving, or further processing. • Preview as Recognition Progresses View structured results as soon as each page is completed, so you can follow the progress and check the reconstructed layout. • Resume After Interruptions If a model download, page capture session, or large document recognition task is interrupted, continue from the saved progress instead of starting over. • Keep Documents on Your Device Model inference, page images, and recognition results are stored locally. Unless you choose to export, share, or send them to another app, your recognized content stays on your device. From capturing paper and importing files to understanding complex layouts and exporting reusable content, DocWeave keeps the entire document workflow on your device. First Use An internet connection is required to download the local recognition model, which is approximately 2.5 GB. The download begins only after you confirm it and can resume if interrupted. Once installed, the model can perform recognition offline. Device Requirements On-device AI recognition requires an A14 / M1 chip or newer and at least 6 GB of RAM. Requirements differ by recognition engine: • OvisOCR2 (faster, lower memory usage): a device with at least 6 GB RAM; keep at least 3 GB of free RAM before loading the model; model files are about 0.6–1 GB (varies by device). • MinerU (full-featured, supports reconstructed PDF export): a device with at least 8 GB RAM; keep at least 5 GB of free RAM before loading the model; the model file is about 2.5 GB. Note: free RAM is not storage; you also need enough storage for the model files and recognition results. Recommended devices: • iPhone 12 Pro / 13 Pro, iPhone 14 or newer (MinerU requires iPhone 15 Pro or newer) • iPad mini (A17 Pro) • iPad Air (M1) or newer • iPad Pro (M1) or newer • Mac with Apple silicon and at least 8 GB of unified memory Devices before A14 are not supported, e.g. iPad Pro (2018/2020, A12X/A12Z chip). Camera scanning and rolling-screen recording capture are only available on iOS/iPadOS. The macOS version supports importing PDFs and images via file picker, drag and drop, or paste.