Automate document processing into Databricks
Get data from your documents into Databricks
Invoices, receipts and contracts
Extract structured data from invoices, receipts and contracts directly into your Databricks Lakehouse - enabling analytics, reporting and data science at scale.
Compliance forms and audit reports
Extract compliance data from forms and audit reports directly into your Databricks Lakehouse - ensuring audit readiness, supporting regulatory reporting and enabling compliance analytics at scale.
Onboarding forms and resumes
Extract employee data from onboarding forms and resumes directly into your Databricks Lakehouse - powering workforce analytics, improving HR planning and enabling talent insights at scale.
Purchase orders and invoices
Extract procurement data from purchase orders and invoices directly into your Databricks Lakehouse - enabling spend analysis, identifying cost savings opportunities and improving supplier management at scale.
How to automate document processing into Databricks
Automatically send your documents to Affinda
AI agents extract and validate key data fields
See your data appear in Databricks
Extract any information from any document, fast
Create models in seconds
Validate and transform data
Apply your business logic
Pathway 1: Use the Agent
Pathway 2: Write your own code
No need to talk to sales. Get started now
Sign up for free
Set up your integration
Start processing
95%
reduction in manual work
10×
more invoices processed with no added staff
Enhanced auditability and tracking of invoice approvals
120,000
proof of delivery documents processed annually
82%
of documents straight-through processed in the first weeks
Automatic validation of documents against ERP system
High accuracy parsing across multiple languages
Improved customer experience thanks to better structured data
Stronger compliance with international data security and software standards
300,000
documents processed annually
80
different document types
60%
Enhanced auditability and tracking of invoice approvals
76%
reduction in manual data input
30%
reduction in compliance data errors
85,000
compliance documents processed annually
Combine the best of artificial and human intelligence
Frequently asked questions
Does Affinda integrate with Databricks?
Yes. Affinda's integration with Databricks connects your document processing directly to your data analytics workflows. It automatically extracts, validates and syncs data from invoices, contracts, compliance documents, HR forms and procurement records straight into your Databricks Lakehouse.With Affinda, you can populate your data lake faster, eliminate manual entry errors and power analytics at scale by leveraging a single, automated workflow.
How does the Affinda-Databricks integration work?
ffinda processes documents from any source - email, upload or API - and extracts structured data such as supplier names, invoice numbers, contract values, employee details and procurement amounts using AI agents trained on your specific document types.
nce extracted and validated, this data automatically flows into your Databricks Lakehouse in the format you need, ready for analytics, reporting and data science. Whether it's invoices, contracts, purchase orders or resumes, the data arrives structured and analysis-ready.
You can configure validation rules, custom data transformations and business logic using natural language - ensuring every record meets your quality standards before it reaches your data lake.
What types of documents can Affinda process and send to Databricks?
Affinda processes any document type and sends structured data directly to your Databricks Lakehouse, including:
- Invoices, purchase orders and receipts
- Contracts and supplier statements
- Compliance forms and audit reports
- Onboarding forms, resumes and HR documents
It handles both digital and scanned documents across multiple formats and layouts, using advanced OCR and AI-powered extraction to achieve more than 99% accuracy.
Do I need to manually upload files to Databricks?
No. With Affinda, file uploads can be fully automated using our APIs. To get your documents to Affinda, you can choose from three options:
- Drag and drop documents into your Affinda workspace
- Forward documents via email manually or set up automatic email forwarding
- Connect your document source via API or third-party cloud storage
Once received, data is automatically extracted, validated and sent directly to your Databricks Lakehouse - ready for analytics and reporting.
Can I define my own validation and business rules?
Yes. Affinda lets you configure custom validation and business logic before any data reaches your Databricks Lakehouse.
For example, you can set rules to:
- Verify invoice amounts match contract values
- Flag missing compliance dates or incomplete audit records
- Validate supplier details against approved vendor lists
- Check that employee data meets HR data standards
These checks ensure your data arrives in Databricks clean, consistent and ready for analytics and reporting.
Can Affinda handle bulk invoice uploads for Databricks?
Yes. Affinda is built for scale. Whether you're processing 50 documents a month or 50,000 a day, the platform handles bulk uploads and automated batch processing without breaking stride.
This makes it ideal for analytics teams, data science initiatives and enterprise organizations that need to populate their Databricks Lakehouse with high volumes of invoices, purchase orders, compliance documents and HR records - all while maintaining accuracy and speed.
How fast can I get started with the Databricks integration?
You can start processing documents into your Databricks Lakehouse in under an hour. Affinda's flexible integration lets you:
- Configure your document extraction models with a few sample files
- Connect to your Databricks Lakehouse via API
- Map extracted fields to your data schema and start sending data immediately
For teams needing deeper customization, Affinda provides full API access and dedicated support to tailor the integration to your specific data workflows and analytics requirements.
Is my financial data secure when using Affinda with Databricks?
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 Databricks?
By integrating Affinda with Databricks, you can:
- Eliminate manual data entry and reduce errors across your data workflows
- Accelerate analytics, reporting and data science initiatives with faster data ingestion
- Power workforce analytics, compliance reporting and procurement spend analysis at scale
- Improve data quality with automated validation before records reach your Lakehouse
- Scale document processing from hundreds to thousands of files without adding headcount
- Gain full visibility into extraction accuracy and data pipeline performance