The fewer languages selected – the better. If the OCR software you're using has an option to select between languages (like DocuFreezer), select only those which are in your source documents. #5 Select only those languages that are contained in your documents You can do it using a screenshot saving tool (e.g., Lightshot) or an image editor such as Photoshop. Below an x-height of 10 pixels, you have very little chance of accurate results, and below 8 pixels letters will be "noise removed".Ī quick check is to count the pixels of the x-height of your characters (x-height is the height of the lower case height). At 10pt and 300 DPI, x-heights are typically about 20 pixels. Consider the resolution as well as point size – OCR accuracy drops off below 10pt, rapidly below 8pt (with resolutions 300 DPI). There is a minimum text size for reasonable accuracy. ![]() For the best results, try to make sure the text height is at least 20 pixels. The recommended text size in the scanned documents is 10 points or higher. #4 Increase the text size of the source images Adjust high contrast in such a way that characters are distinctive. When using a scanner (or an image editor if there is no way to scan the document again), you can adjust gamma and contrast to get clearer outputs. #3 Enhance the contrast of imagesĬontrast and density are vital factors to consider before OCR'ing an image. Therefore, select a lossless file format, such as TIFF or high-quality PDF when scanning the source file. If you scan to a TIFF without compression, no image information (roughly speaking, pixels) will be lost. To let OCR software extract text more precisely, choose a lossless file format, e.g., TIFF. #2 Select a lossless output format when scanning With high image resolution, OCR engine should be able to recognize high contrasts, character borders, pixel noise, and aligned characters. Preferably, scan at 600 DPI to capture as much image information as possible. One of the most significant factors is DPI (Dots per Inch). ![]() #1 Improve the quality of the source images The OCR results are considered to be good if the recognized text is 98-99% accurate (1-2% of OCR incorrect).īelow are some tips which will help you achieve better OCR results. Understanding the limitations of the OCR process can help you assist the OCR engine in producing more accurate results. Short advice here is to make sure that the input files have high quality – large format and high resolution. Text may be incorrect or corrupted after conversion with OCR. Simply follow the steps mentioned above: add the files to the list, select PDF or TXT as Output file type, go to Settings and check the option Make PDF searchable (OCR) or OCR (Optical Character Recognition). Thus, you can get the text out of your CAD drawings in the form of a searchable PDF or TXT. Capture text from AutoCAD DWG and DXFĭocuFreezer supports DWG and DXF drawings as input formats. DocuFreezer can create PDF containing editable text out of an image-only PDF or another filetype using the built-in OCR technology. Converting bitmapped PDF to searchable PDF Once the OCR is done, text in searchable PDF documents can be selected, copied, and marked up. Use DocuFreezer for this task – just add images and let the software OCR your files. The text that you can edit with a word processing, spreadsheet, or an editing program. Afterward, you might need to get the text out of it. When you scan a document, it becomes an image. Try converting your files again (with the option Make PDF searchable (OCR) enabled).Check the Disabled helpers setting and ensure that Acrobat is unchecked.The full version is needed, Acrobat Reader will not do. Note: you must have Adobe Acrobat DC (Version 12 or higher) installed. This option may provide better results compared to the default optical recognition engine. If you have Adobe Acrobat installed, you can try switching the OCR processor to Acrobat. ![]() Note: the fewer OCR languages are selected, the more accurate text recognition will be.
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