DullyPDF | Fillable Form Automation

The tool converts existing PDF documents into interactive, fillable forms by automatically detecting fields such as text inputs, checkboxes, radio groups, dates, and signature areas. Detection is performed by an AI‑driven pipeline that scores confidence and extracts field names from nearby labels, after which a visual editor lets users resize, rename, and reposition fields to produce a production‑ready template.

Once a template is saved, users can populate it in several ways: uploading a CSV, Excel, JSON, or TXT schema file to map database headers to PDF fields, publishing a web‑based “Fill By Link” form for respondents, or calling a template‑scoped API endpoint. The system also supports filling from images or documents, generating the final PDF on download, and routing completed records into supported U.S. electronic‑signature workflows.

The solution is aimed at organizations that need to automate data collection and signing on existing PDF forms, such as clinics, legal offices, or businesses handling contracts. Its distinctive features are the automatic field detection with confidence scoring, the ability to map fields to external data sources, and integrated e‑sign routing, all accessible through a web interface and API.