
OCR scanned PDFs into editable Word docs — fully offline, no API key. Requires pip dependencies.
PDF OCR to Word Converter (扫描PDF转Word工具) is an automated local document digitizing and text extraction skill on EasyClaw. Designed specifically for professional legal departments, researchers, and office administrators, it converts locked, un-selectable scanned PDFs or screenshots into fully editable Microsoft Word (`.docx`) documents in a single operational run — completely offline, with no cloud API keys required, while natively supporting high-accuracy CJK (Chinese, Japanese, Korean) bilingual character parsing.
The skill is built for legal practitioners digitizing signed paper contracts (e.g., at `D:/contract.pdf`), researchers compiling textual databases from textbook page scans, and operations offices managing bulk document format conversions.
The expected outcome is a fully compilable, editable Microsoft Word file: written directly to your workspace exports folder, formatted with your original headers and paragraph layouts preserved, with an instant local download link.
1. Analyze document path and language. Provide the absolute local path to your scanned PDF (e.g., `D:/contract.pdf`), specify the document's primarily active language (e.g., "Chinese and English"), and declare your target workspace destination.
2. Local OCR engine initialization. The skill launches a secure, local optical character recognition (OCR) engine (such as Tesseract OCR or layout-preserving extraction libraries) headlessly in the background.
3. Multi-element page layout parsing. It crawls the PDF pages sequentially — analyzing the document design to identify and isolate: paragraphs, nested data tables, running headers, and footers.
4. CJK character extraction. It runs the OCR extraction pipeline, resolving complex bilingual characters, symbols, and punctuation marks, correcting common character-recognition misalignments.
5. Word file compilation. The parsed text and reconstructed tables are compiled into a standard Microsoft Word (`.docx`) file, which is written directly to disk and delivered with an instant download link.
- Headless scanned PDF parser: Converts un-selectable scanned PDFs into editable `.docx` files.
- Bilingual CJK OCR support: High-accuracy character-recognition for mixed Chinese, English, and local characters.
- Fidelity layout preservation: Automatically reconstructs table grids, paragraph headers, and lists.
- 100% local and offline: Converts documents securely on your machine without third-party cloud API keys.
- Frictionless directory reader: Accesses and writes files directly from any folder on your hard drive.
- Automatic file-name tracking: Appends clean suffix tags (e.g., `_ocr.docx`) to converted files automatically.
1. Digitizing a scanned PDF contract locally
A legal clerk is handed a signed, scanned contract PDF stored at `D:/contract.pdf` that needs immediate edits. Since the PDF is locked as image scans, they cannot edit the text. They point the skill to the file. The OCR engine reads the pages, parses the text blocks, and converts the document into an editable Word file (`contract_ocr.docx`) in the same folder, saving hours of manual re-typing.
2. Compiling textbook scans into an editable research index
A researcher has scanned multiple chapters from a historical textbook to use as citations. They ask the skill to process the scans. The converter runs the OCR queue headlessly, extracts the bilingual text, structures the paragraphs, and compiles them into a single, fully editable Word document.
3. Unlocking text from restricted-access PDF documents
A student downloads a research paper that is restricted, preventing them from highlighting, copying, or searching the text. The skill processes the file: running full-text OCR, injecting a searchable text layer underneath, and generating an editable Word document while keeping the original layout 100% intact.
4. Reconstructing financial tables from scanned invoices
An accountant has scanned receipts with complex billing tables. Standard online OCR tools scramble the columns. The skill’s layout-parsing engine detects the column borders, maps the cell coordinates, and reconstructs the data grid cleanly into an editable Word table or Excel CSV ledger.
5. Automatically prompting for missing file directories
A user types a vague instruction: *"Help me process this PDF"* without providing paths. The skill's context logic intercepts the request and prompts politely: *"To run the OCR conversion, could you please provide: The absolute PDF file path? The document's language (Chinese/English/other)? And where you'd like the output saved?"* preventing failed runs.
An administrator needs to convert a scanned PDF agreement on their local machine.
1. They open EasyClaw and activate PDF OCR to Word Converter.
2. They run: *"Convert this scanned PDF at 'D:/contract.pdf' to Word. Language is mixed Chinese and English."*
3. The skill validates the local file path, launches the local OCR engine, and parses the document.
4. It extracts the text, structures the tables, and writes the `.docx` file.
5. It saves the completed document to: `D:/contract_ocr.docx` and returns the download link.
Scanned PDF files converted to editable Word documents headlessly in under 45 seconds.
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No. The core image parsing, text extraction, and document recompilings are executed entirely locally in your workspace container, requiring no external paid API configurations or cloud subscriptions.
The skill natively supports scanned PDFs, screenshot images (`.jpg`, `.jpeg`, `.png`, `.webp`), and image-based PDFs, and can export them as editable Word (`.docx`), searchable PDF, or plain text (`.txt`) files.
Yes. The OCR engine is highly optimized to read and extract both Simplified and Traditional Chinese characters, as well as English text, with high character-recognition accuracy.
Yes. In compliance with strict corporate security and data privacy standards, all document reading, OCR parsing, and file writes are executed entirely locally on your machine, ensuring your data is never leaked.
If you request an OCR conversion without specifying the target file or format, the skill's context logic will politely prompt you for the specific file path and target output format to prevent failed compiles.
The engine parses the raw image layout before extracting text, identifying page zones (headers, paragraphs, tables). When compiling the final Word file, it places the extracted text inside matching CSS-like style containers to recreate the original design.
Yes. All OCR parsing, text extraction, and file writes are executed entirely locally on your machine, allowing you to run all document tasks completely offline.
A searchable PDF is a document where the scanned page images are preserved visually, but a hidden, selectable text layer is injected underneath each page, allowing users to search, highlight, and copy text.
Yes. You can instruct the skill: "convert all images in D:\\project\\scans\\ to TXT files." The background queue will parse and extract text from each file sequentially, saving them in your workspace.
Yes. Every successful document conversion, image OCR, and file export is logged locally under `public/data/logs/` in your workspace, creating a clear local history of your operations.
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