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