A regional bakery chain wants a system that reads handwritten notes from suppliers, submitted as scanned images, and turns them into searchable digital text stored in their inventory database. Which capability of AI should the vendor propose as the core building block for this solution?
Select an answer to reveal the explanation.
Short Explanation
Think about what the bakery actually has: pictures of paper with writing on them, not sound and not a product photo. The job is to pull the letters and words out of that image so a computer can read and search them, and that specific skill is the one built for turning pixels of text into actual text characters. The tone-of-the-note idea sounds tempting because it involves text, but that only works once the words already exist digitally, so it puts the cart before the horse. The object-spotting idea mixes up 'what is in this picture' with 'what does this picture say', which are different problems. And transcribing speech needs audio, not a photograph, so it never even applies here. The right tool is the one that reads handwriting off an image straight into usable text.
Full Explanation
The correct answer is A. Optical character recognition (OCR) is purpose-built to extract text from images, including scanned documents and handwriting, and convert it into machine-readable characters that can be indexed and searched, which is exactly what the bakery needs to make supplier notes searchable in its database. Option B is incorrect because object detection identifies and localizes physical objects within an image, such as boxes on a shelf, but it does not extract or interpret written characters. Option C is incorrect because sentiment analysis operates on text that has already been digitized to judge emotional tone, and applying it here does nothing to solve the actual problem of getting text out of an image in the first place. Option D is incorrect because speech-to-text works on audio waveforms captured from spoken language, not on static images of handwriting, so there is no audio signal for it to process.