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AIF-C01 Practice Question: Which AWS service is best suited for extracting…
Which AWS service is best suited for extracting text (including handwriting) from scanned documents, such as invoices and forms?
⚠ Common exam trap
A common mix-up: candidates confuse Amazon Rekognition's text-in-image capability with Textract's document-specific extraction, but Rekognition lacks the ability to extract structured data like tables and forms from multi-page documents.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Textract
Amazon Textract is purpose-built to extract text, handwriting, and structured data (like tables and forms) from scanned documents. It uses machine learning to go beyond simple OCR by understanding the layout and relationships within documents, making it ideal for processing invoices and forms.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon Comprehend
Why it's wrong here
Comprehend performs natural-language processing on existing text — sentiment, entities, key phrases — and cannot read pixels from scanned images, so it never extracts the handwriting. It is tempting because it analyses document content, and it would be correct for classifying or mining text already extracted from invoices.
- ✗
Amazon Transcribe
Why it's wrong here
Transcribe converts spoken audio into text, so it cannot process a scanned image containing no audio stream. It is tempting because it is a text-extraction service, and it would be the right choice for transcribing call recordings or voicemails into searchable transcripts.
- ✓
Amazon Textract
Why this is correct
Amazon Textract uses optical character recognition with machine learning to extract text and handwriting from scanned documents, satisfying the invoice and form requirement. Unlike Rekognition, which handles images and video, Textract is purpose-built for document text, forms and tables.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition detects objects, faces and scenes in images, returning labels and bounding boxes rather than the document's textual content. It is tempting because it processes image pixels, and it would be correct for identifying objects or moderating images, not reading invoice handwriting.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.