What is qomplement?
The qomplement app is an AI-powered platform that turns any document into structured, usable data. Upload a PDF, image, or Word document, and the platform extracts text, tables, key-value pairs, and entities — then maps that data into Excel spreadsheets, PDF forms, or your database.
What can you do with it?
Extract data from any document
Upload invoices, contracts, medical records, government forms, or any other document. The AI reads and extracts:
- Key-value pairs — names, dates, amounts, addresses, IDs
- Tables — line items, schedules, data grids
- Entities — people, companies, locations, monetary amounts
- Raw text — full OCR output for any use
Fill Excel spreadsheets automatically
Have a spreadsheet you fill manually from documents? Upload it as a template and let the AI map extracted data to the right columns. Three fill modes — Smart, Replace, and Complete — give you control over how data is placed.
Fill PDF forms at scale
Upload a fillable PDF form and the AI auto-detects form fields, then maps your document data to each field. Process hundreds of forms with different data in minutes.
Build automated workflows
Use the visual workflow builder to create pipelines:
- Trigger — on a schedule, via webhook, or when an email arrives
- Process — parse documents, transform data, filter, branch
- Act — send emails, upload to Google Drive, write to a database, call APIs
Connect to your databases
Connect PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Snowflake, BigQuery, Redshift, or SQLite. Browse schemas visually, run queries, and push extracted data directly to your tables.
Who is it for?
- Operations teams processing invoices, purchase orders, or receipts daily
- Legal teams reviewing contracts and extracting key terms
- HR departments parsing resumes and filling onboarding forms
- Compliance teams extracting data from regulatory documents
- Anyone who manually transfers data from documents into spreadsheets or forms
How does the AI work?
qomplement uses a combination of:
- OCR (Optical Character Recognition) to read text from images and scanned PDFs
- Large Language Models to understand document structure and extract meaningful data
- Semantic matching to map extracted fields to your templates intelligently
The AI improves with context — the more specific your template fields are, the better the extraction results.
Next steps
- Quickstart guide → — parse your first document in 2 minutes
- Navigating the interface → — learn the layout
- Examples → — see real-world use cases