Read words and lines from an invoice image and display where that text appears on the page. Review the output of Amazon Textract DetectDocumentText.
This task concerns text and positions. Table-cell structure, item-to-amount associations, total consistency, and payment approval are separate requirements.
Choose TWO appropriate statements about the specified operation and its outputs.
Check both OCR text recognition and the positions returned by the specified API. DetectDocumentText includes word and line Geometry, but it does not guarantee structure extraction or invoice business validity.
Detailed explanation
This matches conversion of image text into machine-readable form. It does not guarantee every recognized character matches the original.
Word and line Blocks from this API include positions. Obtaining text locations does not inherently require adding a separate object detector.
An image category differs from text recognition and table or field-structure extraction. The classification result alone does not supply those associations.
The specified API already returns word and line locations. Compare existing outputs with additional requirements before deciding whether another model is needed.
Confidence and coordinates differ from total consistency, contract matching, and payment decisions. Business validation remains a separate requirement.
Check official documentation
Compare the following points with the official documentation.
Read the Textract DetectDocumentText and text-location documentation to identify the roles of Text and Geometry for WORD and LINE Blocks. For an invented invoice, list text, positions, table structure, and total consistency separately. Do not upload real invoices or perform payments.
Official references
What to confirm
Explain that the specified API can return word and line text and locations. Avoid generalizing to every OCR implementation or inferring invoice validity and payment approval from positions and confidence.
Key points
- OCR text
- Word and line positions
- Structure extraction
- Business validation
Notes
- Environment: Current AIF-C01 Task 1.1 and related AWS primary-source review using invented examples; no model training or inference is performed.
- Read the Textract DetectDocumentText and text-location documentation to identify the roles of Text and Geometry for WORD and LINE Blocks. For an invented invoice, list text, positions, table structure, and total consistency separately. Do not upload real invoices or perform payments.
- Explain that the specified API can return word and line text and locations. Avoid generalizing to every OCR implementation or inferring invoice validity and payment approval from positions and confidence.
Foundation review
Check the specified API output
Word and line Blocks from DetectDocumentText include text and Geometry. Use the actual API documentation rather than generalizing that every OCR implementation has identical outputs.
Distinguish text positions from structure
Coordinates do not themselves establish table-cell structure or key-value relationships. Compare requirements with features such as AnalyzeDocument when structured outputs are needed.
Separate recognition from validity
Recognition confidence is not a measure of correct payment approval. Plan checks against the original document, totals, and contract conditions rather than treating recognition as completion of the business decision.