Automate document processing into your PostgreSQL database
Automate exporting data from your documents into your PostgreSQL database by integrating the Affinda Platform with your PostgreSQL environment. Achieve straight-through processing by eliminating manual data entry for good.
Get data from your documents into your PostgreSQL tables
Invoices & Contracts
Extract invoice and contract data directly into PostgreSQL to power analytics, automate reporting and support custom applications - all without manual data entry.
Compliance forms & audit reports
Store compliance and audit data in PostgreSQL to maintain audit readiness and power regulatory reporting - extracted automatically from forms and reports without manual processing.
Resumes & onboarding forms
Load employee data from resumes and onboarding forms into PostgreSQL to power talent analytics and HRIS integration - extracted automatically to support better HR planning without manual data entry.
Purchase orders & inventory sheets
Extract supplier, item and stock data from purchase orders and inventory sheets into PostgreSQL to enable procurement analytics and better supplier management - automatically captured to control costs without manual data entry.
How to automate document processing into your PostgreSQL database
Affinda processes your documents in the background and sends the extracted data straight into your PostgreSQL tables.Automatically send your documents to Affinda
Upload, email or integrate your documents as soon as you receive themAI agents extract and validate key data fields
Affinda's AI agents extract and transform your data with superior accuracy, thanks to advanced contextual understanding and machine validation.See your data automatically stored in your PostgreSQL tables
Affinda sends your extracted data straight into your PostgreSQL database, automatically inserting all extracted fields into the appropriate columns.Extract any information from any document, fast
Create models in seconds
Upload a claims document and the Affinda Platform will predict the fields you need – like claimant details, policy number, incident date, totals and line items – so you can automate claims document processing in just a few clicks.
Validate and transform data
The platform checks extracted claims data against your business rules and transforms it into a format your claims management system expects. That way, it’s ready for workflows like coverage checks, reserving, routing and settlement.
Apply your business logic
Use natural language to write validation rules that match your claims workflows, for example: flag missing fields; check policy numbers match correct formats; validate that document dates are within ranges; check financial consistency, such as line items summing correctly to totals.Pathway 1: Use the Agent
Create integrations fast, even if you’re not a developer. Choose from 2800+ business systems and describe how you want your claims document processing workflow to connect, using natural language. The Agent will generate the code to make it happen.Pathway 2: Write your own code
Easily connect Affinda Platform to your claims stack using our client libraries and APIs. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your claims documents, so extracted fields map cleanly into your workflows.
No need to talk to sales. Get started now
Sign up for free
Sign up and configure your custom extraction model.Set up your integration
The Agent works like your own developer - describe how you want data exported, and it builds the integration for you.Start processing
Send your files to Affinda and watch as the data automatically populates into your downstream system.Automating their document processes with AI
Combine the best of artificial and human intelligence
Frequently asked questions
Does Affinda integrate with PostgreSQL?
Yes. Affinda's integration with PostgreSQL connects your document processing directly to your database workflows. It automatically extracts, validates and loads data from invoices, contracts, compliance forms, HR documents and purchase orders straight into PostgreSQL tables.With Affinda, you can populate your database faster, eliminate manual data entry and maintain complete control over your data by automating the entire workflow from document to database.
How does the Affinda-PostgreSQL integration work?
Affinda's intelligent document processing accepts documents from any source (email, upload or API) and automatically extracts structured data such as supplier details, line items, dates, employee information and compliance fields.
Once extracted and validated, this data is automatically loaded into your PostgreSQL tables in the format you need - whether that's invoices for analytics, purchase orders for procurement tracking or resumes for talent management.
You can configure validation rules and business logic using natural language, ensuring data meets your standards before it populates your database.
What types of documents can Affinda process and send to my PostgreSQL tables?
Affinda processes any document type and loads the extracted data straight into PostgreSQL, including:
- Invoices, receipts and purchase orders
- Contracts and compliance forms
- Resumes and onboarding documents
- Audit reports and inventory sheets
Whether your documents are digital PDFs or scanned images, Affinda handles them all with more than 99% accuracy - regardless of format, layout or language.
Do I need to manually upload my documents to PostgreSQL?
No. Affinda fully automates document ingestion through our APIs. You have three flexible options for getting documents to Affinda:
- Upload documents directly into your Affinda workspace
- Email documents manually or configure automatic forwarding
- Integrate via API or connect to third-party cloud storage
Once received, Affinda automatically extracts and validates your data, then loads it directly into your PostgreSQL tables - structured and ready to use.
Can I define my own validation and business rules?
Yes. Affinda lets you define custom validation rules using natural language before data loads into PostgreSQL.
For example, you can set rules to:
- Prevent duplicate invoice or purchase order entries
- Verify compliance dates fall within required periods
- Ensure employee records include all mandatory fields
These checks keep your PostgreSQL data clean, accurate and ready for analytics or reporting.
Can Affinda handle bulk invoice uploads for PostgreSQL?
Yes. Affinda handles bulk document processing with ease. Whether you're loading 50 invoices a month or 50,000 a week, the platform scales to meet your needs and supports automated batch processing straight into PostgreSQL.
This makes it ideal for finance teams, data analysts and enterprise organizations managing high volumes of invoices, purchase orders and compliance documents that need reliable database integration.
How fast can I get started with the PostgreSQL integration?
You can start processing documents into PostgreSQL in minutes. Affinda's flexible integration allows you to:
- Connect to your PostgreSQL database using standard connection protocols
- Map extracted document fields to your database tables and schema
- Begin importing data immediately with automatic field transformation
For teams needing deeper customization, Affinda provides full API access and support for complex data workflows and validation logic.
Is my financial data secure when using Affinda with PostgreSQL?
Absolutely. Affinda follows security standards including ISO 27001:2022, SOC 2 and GDPR for security and compliance. Data is encrypted in transit and at rest, with strict role-based access controls and full audit logging. You can also select region-specific data storage to meet your organization's compliance and data residency requirements.
What are the main benefits of integrating Affinda with PostgreSQL?
By integrating Affinda with PostgreSQL, you can:
- Eliminate manual data entry and reduce errors across all document types
- Speed up analytics and reporting with instant data availability
- Maintain audit readiness with automated compliance data management
- Build a fully automated document-to-database workflow
- Scale processing from dozens to thousands of documents without adding headcount
- Power better business decisions with clean, structured data ready for analysis