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1. Convert pages to word on pc pdf#
2. Convert pages to word on pc install#
3. Convert pages to word on pc software#
4. Convert pages to word on pc trial#
5. Convert pages to word on pc windows#

A cheap Epson or Canon flat-bed scanner should give good results, though it is time-consuming to scan a lot of pages. Of course, if you are going to scan your notes then you must already have a scanner, or be prepared to buy one.

Convert pages to word on pc pdf#

Either way, if someone does come up with an OCR program that can read your handwriting – not impossible, though I’ve already waited 30 years for one – you will be ready with sharp PDF files, rather than curling originals where the paper has aged and the ink has faded. If not, you will probably have to tag them manually.

Convert pages to word on pc software#

You can feed these PDF files to OCR software and hope that it will recognize enough words to make your notes searchable. Instead, think about converting them to high-quality, scanned PDF files that you can store on a hard drive or in the cloud. But unless you have extremely neat, clear and very consistent handwriting, that probably won’t be possible. For example, you could change the typeface, size and spacing, correct and amend your notes, add illustrations, and so on. Your handwritten notes would be more useful in Microsoft Word format because you could do lots of things with them. Wikipedia warns that “Tesseract’s output will be very poor quality if the input images are not preprocessed to suit it: Images (especially screenshots) must be scaled up such that the text x-height is at least 20 pixels, any rotation or skew must be corrected or no text will be recognized, low-frequency changes in brightness must be high-pass filtered, or Tesseract’s binarization stage will destroy much of the page, and dark borders must be manually removed, or they will be misinterpreted as characters.” PDFs and scanners Google Docs and various other services also use the same Tesseract OCR engine. You can also use FreeOCR online by uploading PDF files to. HP made it open source in 2005, and Google now maintains the source code. FreeOCR is based on the widely used Tesseract OCR engine, which was originally developed by Hewlett-Packard in England in the 1980s.

Convert pages to word on pc install#

If you want to try a few pages as an experiment, then you can download FreeOCR for Windows, though be careful not to install any crapware that may be included. If you have 250 words on a page and the program miraculously gets 90% of them right, you will still have to correct 25 words. When it is processing a document, it will present you with words it doesn’t recognise, so that you can tell it what they are. Like most if not all the programs in this field, SoftWriting has to be trained to recognise your handwriting. But it also says it is designed “for recognising non-connected handwriting and machine-printed text” (their emphasis) so I wouldn’t bet on it reading your handwritten notes. There’s also CharacTell’s SoftWriting ($49.95), which the company says is for students taking notes in class and professionals taking notes in meetings.

Convert pages to word on pc trial#

Both companies offer free trial versions so you can test them before you splash out. It’s generally agreed that the best OCR programs are Abbyy FineReader (£99) and Nuance’s Omni (£79.99) and Ultimate (£169.99), though neither is suitable for cursive handwriting recognition. However, all this has more to do with keyboard replacement strategies than with OCR.

Convert pages to word on pc windows#

I’ve had some success with this approach, starting more than a decade ago with Microsoft OneNote (which can also record your voice in sync) running on Windows XP Tablet Edition, and more recently with a Livescribe Echo digital pen and MyScript software. That enables you to train the software to recognise your input, while the software also trains you to write characters in ways that it can understand. In my experience, you can only get handwriting recognition to work well enough by doing it in real time.

OCR works best with high-quality printed materials and worst of all with handwriting, so you’re not starting from the best position. The same software wouldn’t have the domain expertise to cope with a Russian-speaking coroner who liked to include Sanskrit quotations in his handwritten autopsies. For example, it’s possible to recognise the English names for numbers and the names of major UK cities, especially if you can get people to write each letter in its own little box.

But in practice, it works best when dealing with restricted inputs and/or limited domains.