What problem does it solve?
Removes repetitive manual work around PDF documents by automating extraction, structured table parsing, form filling (fillable and non‑fillable), metadata management, and common batch operations so teams can process large document sets reliably and reproducibly.
Core Features & Use Cases
- Automated form handling: Fill native PDF form fields programmatically and add text annotations for non-fillable forms using validated bounding boxes.
- Text and table extraction: Extract plain text and detect/serialize tabular data from PDFs for ingestion into data pipelines.
- PDF manipulation & metadata: Merge, split, rotate, crop pages, convert pages to images, and enforce Z.ai metadata as part of the output workflow.
- Validation & QA tooling: Scripts to convert pages to images, create validation overlays, and verify bounding boxes and form field mappings before annotation.
- Use case: Batch-process hundreds of invoices to extract line items and totals, fill customer onboarding PDFs, or merge/split archival reports while preserving consistent metadata.
Quick Start
Ask the skill to extract text and tables from a PDF and produce filled forms or CSV outputs using the included scripts.