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extracting-form-fields
Extract form field data from PDFs as a first step to filling PDF forms
Full skill instructions
Prepare working directory and extract field data from PDF forms.
<purpose> This skill extracts PDF form information into useful JSON. - Detects fillable vs. non-fillable PDFs - Extracts PDF content as readable Markdown - Creates field metadata in common JSON format </purpose>/home/user/input.pdf)@startuml SKILL
title Extracting Form Fields - High-Level Workflow
start
:Create working directory;
:Copy interview template;
:Extract PDF content as Markdown;
:Check Fillability;
if (PDF has fillable fields?) then (yes)
:Fillable workflow
(see Fillable-Forms.md);
else (no)
:Non-fillable workflow
(see Nonfillable-Forms.md);
endif
:**✓ EXTRACTION COMPLETE**;
:Ready for Form Data Model creation;
stop
@enduml
mkdir <basename>.chatfield
Copy a file from the included filling-pdf-forms skill's template. The example path below is relative to this skill directory.
cp ../filling-pdf-forms/scripts/chatfield_interview_template.py <basename>.chatfield/interview.py
markitdown <pdf_path> > <basename>.chatfield/<basename>.form.md
python scripts/check_fillable_fields.py <pdf_path>
Output:
"This PDF has fillable form fields" → use fillable workflow"This PDF does not have fillable form fields" → use non-fillable workflowFollow ./references/Fillable-Forms.md
Follow ./references/Nonfillable-Forms.md
[
{
"field_id": "topmostSubform[0].Page1[0].f1_01[0]",
"type": "text",
"page": 1,
"rect": [100, 200, 300, 220],
"tooltip": "Enter your full legal name",
"max_length": null
},
{
"field_id": "checkbox_over_18",
"type": "checkbox",
"page": 1,
"rect": [150, 250, 165, 265],
"checked_value": "/1",
"unchecked_value": "/Off"
}
]
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