DullyPDF

DullyPDF is a free web-based PDF form automation platform built for teams that keep receiving recurring paperwork as PDFs, such as operations, HR, legal, finance, real estate and service businesses. It converts a flat, scanned or native PDF into a reusable fillable template using AI field detection, then fills that template at scale from data you already have. An account is required to use it. The workflow runs in four stages. First, the detection pipeline analyzes an uploaded PDF and automatically identifies form fields with confidence scoring, pulling field names from nearby labels. Next, you review and refine the detected fields, adjusting position, type, fonts, sizes, colors and alignment, and you can also delete pages, compress or merge PDFs. Supported field types include text, dates, checkboxes, radio buttons, signatures, image fields, calculated outputs, and barcodes such as QR codes, PDF417 and Code 128. Once a template is saved, there are several ways to fill it. You can publish a hosted "Fill By Link" web form for clients to complete, expose a template-scoped API Fill endpoint for JSON payloads, or upload a CSV, Excel, JSON or TXT schema to map fields to database headers for batch Search & Fill. It can also extract data from photographed documents like IDs and invoices, and route forms through a U.S. e-signature workflow that the site describes as ESIGN Act and UETA compliant. The free plan covers up to five saved templates, five detection pages per PDF, 25 Fill By Link responses per month, one active API endpoint with 250 fills per month, and 50 pages per request; a premium tier raises those limits. The backend is open-sourced on GitHub (Python/FastAPI with a TypeScript/React frontend).