Extract text, tables, and metadata from PDF documents.
npx skills add https://github.com/mohamedhabibwork/mohamedhabibwork --skill pdf-mohamedhabibwork
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/mohamedhabibwork/mohamedhabibwork/tree/main/habib-app/.opencode/skills/pdf Command: npx skills add https://github.com/mohamedhabibwork/mohamedhabibwork --skill pdf-mohamedhabibwork
PDF documents are frequently tedious to process manually for extraction, form handling, and transformation; this skill automates reading, extracting, and transforming content from PDFs to save time and reduce errors.
Ask me to extract text from a PDF and return structured data.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from a PDF, you can parse documents to pull content, metadata, and page structure directly into usable formats like text, CSV, or JSON. It handles form processing and uses pdfplumber for accurate table extraction.
The best way to digitize scanned PDFs is using OCR to recognize and extract text from images. This approach transforms non-fillable fields and scanned pages into editable data, leveraging pdf2image and Pillow for accurate document digitization.
Yes, you can merge, split, and encrypt PDF files in an automated workflow. The process manipulates document structures by rotating pages, applying watermarks, and handling encryption or decryption for secure archival tasks.
Yes, pdfplumber and pypdf support extracting data from fillable PDF forms. The workflow captures form fields and non-fillable content, extracting structured data seamlessly for business, research, and education contexts.
OCR for encrypted PDFs requires decrypting the document first before applying text extraction or image conversion. Built-in support handles encrypted files by unlocking them, enabling pdf2image to process pages for OCR.
PDF text extraction returns garbled characters or missing tables when documents are scanned images lacking embedded text. Using OCR resolves this by recognizing image text, while pdfplumber ensures accurate table boundary detection.
stevessrExtract text and tables from PDFs using Python libraries.
maxvaegaExtract text and metadata from PDF documents via Python scripts.
rysweetExtracts text and tables from PDFs, creates, merges, and handles OCR for scanned documents.
kangnam7654Automate PDF manipulation tasks like extraction, merging, and OCR.
