form-filler

Automating PDF form filling with a CSV file involves reading the data using Pandas and mapping custom keys to form field names. PyMuPDF then populates text fields, checkboxes, and dropdowns across multiple forms in a batch process, eliminating manual data entry.

Programmatic filling of checkboxes and radio buttons is supported using PyMuPDF. You can map values from JSON, CSV, or Python dictionaries to the corresponding interactive form fields, automatically toggling checkbox states and selecting radio button options.

Flattening a filled PDF form is supported, which converts the interactive fields into static, non-editable PDF content. This ensures the populated data cannot be altered, securing the final output document after the automated form filling process is complete.

Mapping custom data keys to PDF form field names involves defining a configuration that aligns your JSON or CSV data headers with the target PDF fields. This ensures accurate data routing when batch processing multiple forms from a single dataset.

Populating hundreds of PDF applications is achieved through batch processing using a JSON or CSV file containing your resume data. By mapping the data keys to the form fields, the script automatically generates all the filled PDF documents.