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KITFORMA · PRACTICAL WORKBOOK
Why Two Identical Strings Differ
Inspect characters and repair only the distinctions you mean to change
People cleaning copied labels, names, identifiers or structured text without losing intentional content.
18 pages10 chaptersPDF + EPUBBook language: English
One-time payment, not a subscription. Applicable taxes appear at checkout.
What you will work through
- Distinguish appearance, code points, bytes and user-perceived text units.
- Choose field-specific normalization and preservation rules.
- Produce a reversible repair ledger and quarantine ambiguous corruption.
Contents
- 01Describe the failure before changing the text
- 02Inspect appearance, code points and bytes separately
- 03Use canonical normalization for an approved purpose
- 04Recognize compatibility changes before applying them
- 05Treat case conversion as a separate operation
- 06Inspect invisible characters in their field context
- 07Know when the original cannot be reconstructed
- 08Build a reversible transformation ledger
- 09Capstone: repair the twelve Harbor records
- 10Maintain precision without becoming afraid of text
Scope and limitations
- The fixture uses fictional text records and names; no person's identity or language is inferred.
- Normalization does not translate text, correct spelling or recover unknown original characters.
- The supplied checker diagnoses these explicit cases; it is not a complete security, font or grapheme-segmentation audit.
- No production database, original customer file or website content is changed.
How delivery works
Checkout is handled by Lemon Squeezy. After a successful purchase, download access appears on the provider’s order page and receipt email. Buying a book does not change your KitForma Pro plan.