![]() Corporate OCR applications add advanced features like automated hotfolder processing, concurrent licensing and other features useful for business applications.Standard OCR applications range from $100-$200 and provide full OCR capabilities including converting scans to Word, Excel, HTML and other editable formats.PDF OCR Converters provide good quality OCR engines like ABBYY, IRIS and OmniPage, but limit the output to searchable PDF files.Recognition quality is generally poor except for the highest quality document images. OCR Freeware uses the SimpleOCR or Tesseract engines and provide limited scanning and output format capabilities.What explains the difference between these applications? Here’s the breakdown: OCR software ranges in price from freeware all the way up to tens of thousands of dollars. But it’s a good way to produce structured data from large single reports or small batches of similar report data.įor more complex tables, tables with similar data but different formats on different documents (like Invoices), tables with nested structure like header and detail rows, Enterprise Forms Processing software is required to turn these documents into structured data like XML, JSON or SQL database tables. Inexpensive Desktop OCR products like FineReader, ReadIRIS and OmniPage can automatically convert data from tables to Excel and other spreadsheets, as long as the columns are standard and don’t “overlap” such that different field values appear in the same column area, like when one row of each record represents one set of columns and a second row has additional column data.Ĭonverted data will require some clean-up before it is usable in any database or software application, and it is difficult to convert large numbers of documents in batches this way. ABBYY FlexiCapture also supports NLP-based training for these types of documents.ĭata that repeats over and over again in a document can be OCR’d to Microsoft Excel, Google Sheets and other spreadsheet formats, or a SQL Database like Access, SQL Server, MySQL and Oracle. ![]() These work by attempting to “understand” the language used in documents to interpret the location of data points based on meaning. ![]() These types of documents can still be captured with OCR but they will usually require an experienced technician to manually configure the template.įor natural language data like legal documents, a new artificial intelligence technology called NLP (Natural Language Processing) is available.
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