What Cradl AI is
A document processing layer. It parses PDFs and images, extracts the fields you define and validates them, then hands the result into a workflow rather than stopping at a download.
It is built for teams with recurring document intake, not occasional scanning.
What you can do with it
- Parse documents and images into structured fields
- Validate extracted data before it moves on
- Automate a document intake process
- Integrate results into existing systems
- Cut duplicate entry work across recurring document types
- Keep a record of what was extracted and changed
- Handle PDF and image inputs at volume
Who it is for
- Operations and back-office teams
- Developers automating document flows
- Enterprises processing documents at high frequency
What to watch out for
- Complex layouts, blurred scans and unusual samples still need spot checks
- Run a sample validation round before going live on key fields
- Define what happens when validation fails
- Confirm integration options and plan limits
Pros & cons
✓ What we like
- Extraction plus validation, not just OCR
- Designed for process automation
- Handles PDFs and images
- Integrates into business systems
! What to watch out for
- Unusual documents need manual checks
- Failure handling needs defining
FAQ
How is this different from OCR?
It emphasises extraction, validation and workflow integration rather than just recognising text.
What documents suit it?
PDFs and images where you need structured extraction.
Do I need to verify before going live?
Yes, especially on key fields and unusual samples. Run a round of spot checks first.
Last reviewed: 2026-09-15
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