DocWeave: PDF Document Scanner

DocWeave: PDF Document Scanner

Offline OCR, Tables & Formulas

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Free

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  • Released
  • Updated
  • May 21, 2026
  • July 22, 2026
DocWeave: PDF Document Scanner screenshot #1 for iPhone
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About

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 Local AI recognition requires significant memory. A device with at least 8 GB of RAM is recommended. On iPhone and iPad, at least 5 GB of available memory (RAM) is required before loading the model. This is not storage space. You should also reserve sufficient storage for the approximately 2.5 GB model and recognition results. Recommended Devices: • iPhones with at least 8 GB of memory, such as iPhone 15 Pro, iPhone 15 Pro Max, and newer models • 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 Camera scanning and scrolling screen capture are available only on iOS and iPadOS. On macOS, you can import PDFs and images using the file picker, drag and drop, or paste.
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What's New in DocWeave

1.2.0

July 22, 2026

Version 1.2.0 introduces an all-new mobile capture experience: • Scan paper documents on iPhone and iPad with automatic page detection, continuous capture, and direct OCR queueing. • Capture scrolling content by recording a webpage or long article and automatically stitching it into a long screenshot. Before recognition, you can remove ads, repeated sections, and other unwanted content. • Recognition progress is saved page by page, so interrupted tasks can continue without starting over. • Improved progress reporting and live previews make it easier to follow recognition as it happens. • Added a localized Help Center covering model installation, file import, document scanning, scrolling capture, exports, and troubleshooting. • Improved page detection, duplicate-page handling, long-screenshot stitching performance, and overall reliability. Document recognition and processing continue to run entirely on your device.

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