Document type
Image-to-Data Conversion
Turn images and scans into structured data with AI-powered recognition that goes beyond basic OCR.
At a glance
Extract text and data from images, photographs, and scanned documents with advanced OCR. OdysseyGPT handles images & scanned documents with citation-backed extraction, workflow-ready outputs, and review paths for low-confidence cases.
Key Takeaways
- Common extraction targets include Printed text content, Handwritten text, Tables and forms.
- State-of-the-art optical character recognition with multi-language support.
- Convert paper archives to searchable digital formats.
Common fields
- Printed text content
- Handwritten text
- Tables and forms
- Logos and signatures
- Barcodes and QR codes
- Document structure
Processing capabilities
- Advanced OCR: State-of-the-art optical character recognition with multi-language support.
- Image Enhancement: Automatic preprocessing including deskewing, denoising, and contrast adjustment.
- Handwriting Recognition: Process handwritten text with confidence scoring for accuracy.
- Layout Analysis: Understand document structure from visual layout cues.
- Barcode Reading: Detect and decode 1D and 2D barcodes including QR codes.
- Photo Documents: Process documents captured via smartphone camera with perspective correction.
Questions answered
What should teams extract from images & scanned documents?
Start with Printed text content, Handwritten text, Tables and forms, Logos and signatures, then expand into workflow-specific fields as your downstream systems require more structure.
What are the common risks when automating images & scanned documents?
State-of-the-art optical character recognition with multi-language support. Automatic preprocessing including deskewing, denoising, and contrast adjustment.
What is the recommended automation flow?
Ingest the document, extract the fields that matter, route low-confidence outputs for human review, and publish the validated output into the target workflow or system of record.