Application Overview
PDFFILLR automates PDF form filling end-to-end. You choose how data arrives (through conversation, a cloud link, or a local file) and the platform handles everything else: field detection, data mapping, and document delivery.
1. What is PDFFILLR?
PDFFILLR is a document automation platform that takes a blank, fillable PDF and produces a completed, filled version automatically. Think of it as a pipeline: you provide a PDF and a data source, and a filled document comes out the other side with every form field populated correctly.
It is designed for workflows where the same type of form needs to be filled repeatedly: investor onboarding packets, KYC forms, subscription agreements, regulatory filings. Instead of having someone manually type the same information into a PDF every time, PDFFILLR does it in seconds and never makes a typo.
Every PDFFILLR session returns two things: the completed PDF ready to download or share, and a JSON object containing all the field values that were collected. The JSON is useful if you want to store the data in a database or pass it to another system alongside the document.
{
"status": "completed",
"session_id": "sess_8fK2mNpQ",
"fields_filled": 14,
"pdf_url": "/files/out/KYC_8fK2mNpQ.pdf",
"data": {
"full_name": "Jane Doe",
"date_of_birth": "1990-04-15",
"nationality": "US",
"risk_profile": "moderate",
"signature_date": "2025-01-15"
}
}2. How It Works
Every PDFFILLR session follows the same three-step workflow, regardless of which input mode you choose. The only thing that changes between modes is how your data is collected in step two.
3. Key Features
These are the three properties that make PDFFILLR reliable enough to use in production, not just for demos or one-off tests.
4. PDF Filling Modes
Before filling a PDF, you choose an input mode. The mode tells PDFFILLR where your data is coming from and how to collect it. Everything after that point, including field detection, mapping, and writing, runs the same way regardless of mode.
An AI-powered conversation guides the user step-by-step through the form. The chatbot asks questions in plain language, validates each answer on the spot, prompts for corrections if needed, and fills the PDF automatically once all fields are complete.
- No manual form entry, data collected through natural language conversation
- Real-time validation: asks again if an answer fails field constraints
- Ideal for KYC, investor onboarding, and subscription agreements
Paste a document link from Google Drive or Dropbox. PDFFILLR fetches the remote file, extracts structured data from its contents, and maps it directly to the target PDF fields. No intermediate download required.
- Works with Google Drive and Dropbox document links
- Supports OAuth token passthrough for private or restricted files
- Entire flow runs from the URL, no local file required
Upload a PDF directly from your machine. PDFFILLR reads the file, extracts the relevant field data, and uses it to populate the target form. The filled document is available for download the moment processing completes.
- Accepts PDF files only
- Data is extracted and mapped to form fields in a single pass
- Filled PDF is available for immediate download on completion
Which mode should I use?
| Your situation | Recommended mode |
|---|---|
| A user needs to fill a form by answering questions | AI |
| Your source data is a document in Google Drive or Dropbox | URL Upload |
| You have a local PDF file on your device to upload | Local File Upload |
5. Filling Process
Once you submit a PDF and your data, PDFFILLR runs four internal stages to produce the filled document. These stages run automatically; you do not trigger or configure them manually.
PDFFILLR scans the uploaded PDF and builds a field schema: every field's name, data type (text, checkbox, radio, dropdown, date), and position on the page. This schema is the map that all later stages use to place values correctly.
Each value in the collected payload is paired with a field in the schema using name-based lookup or your config-file mapping rules. Type coercion is automatic: booleans become checkboxes, strings become dropdown selections.
Matched values are written into the PDF's AcroForm field layer. Fonts, layout, and visual formatting are untouched; only the field values change. No visual artefacts are introduced to the document.
All embedded values are committed, the form is optionally flattened to prevent further editing, and the output PDF is generated. The document is returned for download or written to your configured storage destination.