Automate document processing into Databricks

Automate exporting data from your documents into Databricks by integrating the Affinda Platform with your Databricks account. Achieve straight-through processing by eliminating manual data entry for good.

Get data from your documents into Databricks

Invoices, receipts and contracts

Extract structured data from invoices, receipts and contracts directly into your Databricks Lakehouse â€“ 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 â€“ 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 â€“ 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 â€“ enabling spend analysis, identifying cost savings opportunities and improving supplier management at scale.

How to automate document processing into Databricks

Affinda processes your documents in the background and sends data straight into Databricks.

Automatically send your documents to Affinda

Upload, email or integrate your documents as soon as you receive them

AI 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 appear in Databricks

Affinda sends your data straight into Databricks, automatically populating all the extracted data fields.

Extract any information from any document, fast

Example of automated data extraction from a document in Affinda

Create models in seconds

Upload any document and watch as Affinda instantly predicts the data fields you need, helping you automate document processing into Databricks in just a few clicks.

Example of how to configure data transformations in the Affinda Platform

Cleanse and transform data

Affinda automatically structures extracted document data in the format your Databricks Lakehouse expects, ensuring it's ready for analytics and reporting. Need custom formatting? Simply describe your requirements in natural language and Affinda adapts.

Apply business logic

Apply validation rules and business logic using natural language, ensuring extracted data meets your organization's standards. This guarantees data quality and enables seamless document processing into Databricks.