# DocWeave: PDF Document Scanner — Offline OCR, Tables & Formulas

> Offline AI document scanner and editor for PDFs, images, and paper. (iPhone/iPad app by 巍 赵.)

- Source: https://appshunter.io/ios/app/docweave-pdf-document-scanner/id6771049566 (this page in markdown: same URL + `.md`)
- Developer: [巍 赵](https://appshunter.io/developer/1686869575)
- Category: Utilities
- Price: Free with in-app purchases
- Rating: 5.00/5 from 2 App Store ratings · 2 written reviews indexed
- Age rating: 4+
- Requires: iOS 17.0 · 103 MB
- Languages: American English, French (France), German (Germany), Japanese, Korean, Russian, Chinese (Simplified, China), Chinese (Traditional, Taiwan)
- Released: 2026-05-21
- Data updated: 2026-09-09
- Monetization: free with in-app purchases
- User reviews in markdown: https://appshunter.io/ios/app/docweave-pdf-document-scanner/id6771049566/reviews.md

## What is DocWeave?

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.

## Key features

- Scan paper documents
- Capture scrolling webpages
- Recognize tables and formulas
- Export to PDF, Markdown, EPUB
- On-device AI processing
- Offline recognition
- Resume interrupted tasks

## Pricing and in-app purchases

Base price: Free.

**One-time purchases**

| Purchase | Price | Type |
| --- | --- | --- |
| Integration Pass | $1.99 | one-time |


## Recent user reviews (2 of 2)

All indexed reviews: https://appshunter.io/ios/app/docweave-pdf-document-scanner/id6771049566/reviews.md

### 3/5 — 希望首页下方移除DoCube

*2026-08-16*

开发者你好，希望首页下方移除这个DoCube。一点它就跳转到商店，严重影响使用。目前我只用DocWeave就足够。
提个建议：没有购买集成通行证的可以在首页间接性出现DoCube。

### 5/5 — 用过最好的离线识别app

*2026-07-29*

用了不下十个离线OCR，这是第一个完整且正确识别公式和判断出示意图的OCR软件，没有把示意图乱识别，没有乱码，没有错位，非常完美。目前有一点点小问题，第一个模型下载无法继续下载，下载失败只能重头再来，另一个第一次加载模型会不停的提示内存不够，需要多点几次突然就会好了，修复一下就非常完美了。

**Developer response:** 感谢反馈的问题，下个版本会修复

## Frequently asked questions about DocWeave

### Does DocWeave have ads?

No, DocWeave is ad-free, allowing for an uninterrupted user experience.

### What are the device requirements for DocWeave?

On-device AI recognition requires an A14 / M1 chip or newer and at least 6 GB of RAM. Specific recognition engines may have higher RAM requirements, with MinerU requiring an iPhone 15 Pro or newer.

### How large is the DocWeave recognition model download?

The initial download for the local recognition model is approximately 2.5 GB. An internet connection is required for this download, which can be resumed if interrupted.

### Can DocWeave recognize complex document layouts like tables and formulas?

Yes, DocWeave can recognize paragraph structures, tables, LaTeX formulas, code blocks, and algorithm blocks, going beyond simple plain text.

### What export formats does DocWeave support?

DocWeave can export recognized content in four formats: reconstructed PDF, Markdown, EPUB, and MinerU packages.

### Is my data private with DocWeave?

Yes, DocWeave runs its AI model locally on your device. Your documents and recognition results are stored on your device and are not uploaded to any servers unless you choose to export or share them.

### How often is DocWeave updated?

The latest version, 1.3.0, was released on August 9, 2026, indicating active development and updates.

### What is the user sentiment for DocWeave?

DocWeave has a rating of 4.0 stars from 2 ratings, suggesting a generally positive user reception.

## Version history (last 5 releases)

### 1.3.1 — 2026-08-18

Bug Fix

### 1.3.0 — 2026-08-09

Added a new local recognition engine with lower memory requirements, bringing offline document recognition to more devices.
Added support for sending recognition results directly to Notion and Obsidian.
Added scrolling window capture, region capture, and cropping on Mac.

### 1.2.0 — 2026-07-22

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.

### 1.1 — 2026-05-23

Fixed an issue where image recognition in certain documents took too long.

### 1.0 — 2026-05-21

No release notes.

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## More apps by 巍 赵

- [DoCube: PDF Reader & Notes](https://appshunter.io/ios/app/docube-pdf-reader-and-notes/id6470183496)

All apps by 巍 赵: https://appshunter.io/developer/1686869575

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-09-09.*
