Documents the AI can read
Convert files into structured text and check what survived the transformation.
What it is
Changing a file’s extension to .md does not convert it into Markdown.
Why learn
You avoid promising a conversion the tool can’t do. Recognizing the input structure also lets you choose specific checks for text, images, and tables.
Key concepts
Format · Structure · OCR · Extraction
What it is
Ready-made conversion tools can save work, but they need to be evaluated with documents similar to yours.
Why learn
A general benchmark doesn’t tell you whether your specific table will be preserved. Testing with a representative sample produces a decision that fits your case.
Key concepts
Sample · Compatibility · CLI · Repeatability
What it is
Markdown represents hierarchy using simple symbols.
Why learn
Explicit structure makes it easier to find information and reduces ambiguities. A number without its header can be misinterpreted even when it was extracted correctly.
Key concepts
Title · List · Table · Note
What it is
Compare totals, units, and headers.
Why learn
Structure errors are subtle and can contaminate later analyses. Checking some critical cells identifies problems that don’t show up when you just count characters or pages.
Key concepts
Header · Unit · Decimal · Formula
What it is
Keep the original file in a separate folder and record the output name, tool, date, and any warnings.
Why learn
Traceability lets you answer where a piece of information came from. It also prevents repeatedly converting identical files or continuing to use an old version without realizing it.
Key concepts
Source · Hash · Version · Manifest
What it is
Use the exercise’s fictitious data to produce a document with a title, an introduction, and a table.
Why learn
The practice teaches you to validate meaning, not just appearance. This skill will be needed when documents feed research, customer support, or automated reports.
Key concepts
Semantics · Verification · Warning · Delivery