Accountants and data analysts often import raw financial feeds where minus signs are misplaced, turning positive amounts into negative entries and corrupting reports. NumFixer automatically detects and corrects sign placement in numeric fields, ensuring clean, accurate data for downstream analytics and accounting.
Why not skipping all the minus signs unless they do not immediately precede a number. I see all the minus signs are after the number, not before, so just skip if they are not before. Preferably in the same BT/ET block as the number.
I agree with you, it's not safe to have a rule saying "non-black means invisible".I should have made it clear in the blog post, but the first thing I do when processing a PDF is I identify the document_type. Then I run special rules for that document_type.So the "non-black means invisible" rule only applies when processing this document_type.
I don’t really understand how OCRing a PDF could be more accurate than reading the text nodes.Another thing to consider is OCR works well for English but not so well for other languages.
Recommended execution roadmap for "NumFixer: Amount Sign Cleaner"
Examine the 3 harvested raw posts to map specific feature complaints, workflow workarounds, and user friction points.
Build a minimalist solution focused exclusively on solving "Accountants and data analysts often import raw financial feeds where minus signs are misplaced, turning positi..." without feature bloat.
Directly engage users in subreddits and developer forums who expressed frustration to offer early access beta invites.
Introduce structured subscription pricing matching market urgency score (75%).
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