Today we're announcing Kadoa's PDF processing capabilities, designed to transform complex PDF documents into clean, structured datasets.

Raw OCR accuracy is becoming a commodity, but building reliable PDF processing pipelines for production use is still a big challenge.

This is especially true when it comes to automatically extracting PDFs from websites that constantly change.

Kadoa handles the complete workflow:

• Locates and downloads PDFs from websites
• High-accuracy OCR an VLM extraction from complex structures like tables, charts, etc.
• Transformation into unified data schema
• Normalization into standardized format
• Data validation and confidence scoring

Our initial rollout focused on some of the most popular PDF use cases we see on Kadoa, including:

• Company reports and filings
• Regulatory filings
• Product specifications
• Announcements

Company Filings Template

A big challenge for investment firms is manually collecting data from hundreds of companies in markets and regions where Bloomberg's coverage is spotty.

This usually includes:

• Manual search, download, and extraction of complex PDFs and regional filings
• Non-uniform metrics, units, and product namings
• Constantly evolving report structures and data schemas

With Kadoa, analysts now get this data automatically in a clean and normalized format.

Get started

Company filings is the first PDF use case available as a Kadoa Template. You can access it on our templates page.

Have a different PDF use case in mind? Contact us directly—we’d love to help.

Feedback

Where are you struggling the most when using unstructured data? How might Kadoa help you? Send us your thoughts, ideas, concerns via the feedback form.