Extract table data from images into Excel.
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Three workflows a generic PDF converter does not cover.
Extract table data from images into Excel.
Turn statement transactions into structured Excel data.
Pull structured fields out of a PDF.
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Almost every oversized PDF is oversized for one reason: the images inside it. Text is cheap — a hundred pages of it is a few hundred kilobytes. A single full-page scan at camera resolution can be larger than that on its own. This matters because it tells you what to do. Compressing a text-heavy PDF that is already 300KB will do close to nothing, because there is nothing bulky in it to remove. Compressing a 12MB scanned document will do a great deal, because almost all of those 12MB are pixels you do not need. It also tells you when to stop. A target is a goal, not a promise: a 40-page colour scan compressed hard enough to reach 500KB will have pages you can no longer read, and a file nobody can read is not a smaller file, it is a wasted one.
No, and it will tell you when it did not. A dense colour scan may not reach 500KB at a readable quality. The size you actually got is reported so you can decide whether to accept it, try a different target, or split the document.
Usually because it was never image-heavy to begin with — there was little to remove. A PDF that is already mostly text is close to its floor, and compression has almost nothing to work on.
Yes. Compression works on the images; the text layer is left alone, so the file stays searchable and selectable afterwards.
If the limit is per-file and the document is naturally in parts, splitting keeps full quality and is usually the better trade. Compress when the document has to stay in one piece.
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