Extract text, tables, and metadata from PDFs, including scanned files.
npx skills add https://github.com/C-Jay69/HYDRASCRAPE_GPT5.2_CODEX_STITCH --skill pdf-c-jay69
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/C-Jay69/HYDRASCRAPE_GPT5.2_CODEX_STITCH/tree/main/skills/pdf Command: npx skills add https://github.com/C-Jay69/HYDRASCRAPE_GPT5.2_CODEX_STITCH --skill pdf-c-jay69
Manually processing PDF documents—extracting data, filling forms, merging or splitting files—is slow, repetitive, and prone to human error, especially when working with large volumes of documents.
Use the pdf skill to extract all text and tables from the attached file 'q3_invoices.pdf' and save the extracted table data to an Excel spreadsheet.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from scanned PDFs, this tool uses an OCR fallback to process image-only files and pull structured data like line items from invoices. It parses binary PDF streams to automate data extraction without manual intervention.
Yes, you can programmatically complete both fillable and non-fillable PDF forms. The process validates form field placements to ensure entries are accurately positioned in the correct locations, automating the entire form filling task.
Yes, you need the pypdf, pdf2image, and Pillow Python libraries installed. These dependencies are required to parse binary PDF streams and perform bulk document manipulation tasks like merging, splitting, and watermarking.
The best way to split and encrypt multiple PDFs is using an automated document manipulation workflow. This approach processes documents at scale, handling bulk splitting, rotating, watermarking, and encrypting tasks directly without manual intervention.
Yes, pypdf supports extracting metadata from standard text-based PDF documents. It works alongside pdf2image and Pillow to pull text, structured tables, and metadata, providing a fallback OCR mechanism for scanned files requiring additional processing.
wanrengangAutomate PDF data extraction, form filling, merging, splitting, rotating, watermarking, password protection, optimization, and OCR using Python libraries pypdf, pdf2image, and Pillow.
alibabaExtract text, tables, and metadata from PDF documents into JSON.
insmtxExtract text and table data from PDF files using Python libraries.
XJTLUmediaExtract text and tables from PDFs using pypdf, pdfplumber, and reportlab.
