'SearchInk' has Received Money to Digitize Handwritten Documents
References: searchink & techcrunch
SearchInk is a startup out of Berlin that aims to solve one of the final hurdles of text searching. While people can of course search through text on digital documents, and systems have even arisen to allow for digitizing and searching through typewritten documents, no such thing exists for handwriting. SearchInk hopes to be the program to make searching through handwriting digitally a reality.
The program uses proprietary 'Handwritten Text Recognition' technology to convert handwritten text into a searchable document. That means that, once a document has been scanned, users could search for any keyword or group of keywords in the same way that they do for a PDF.
Not only will SearchInk read and scan through handwriting, but its software uses machine learning to improve as it gathers more examples over time.
The program uses proprietary 'Handwritten Text Recognition' technology to convert handwritten text into a searchable document. That means that, once a document has been scanned, users could search for any keyword or group of keywords in the same way that they do for a PDF.
Not only will SearchInk read and scan through handwriting, but its software uses machine learning to improve as it gathers more examples over time.
Trend Themes
1. Handwritten Text Recognition - Developing machine learning models to convert handwritten text into searchable documents presents an opportunity for creating new search engines.
2. Artificial Intelligence (AI) Document Scanners - Using computer vision and deep learning to scan and interpret handwriting and other documents, an AI-powered scanning system could streamline most industries.
3. Digital Archiving and Management - Using handwriting recognition software coupled with cloud technology presents an opportunity to streamline document management and archiving for both small businesses and larger companies.
Industry Implications
1. Digital Document Management and Archiving - Businesses could leverage machine learning models to improve their digital document management and archiving practices for various industries from healthcare to finance.
2. Inventory Management and Warehousing - AI-powered document scanners used in warehouses and inventory management can save time and improve accuracy in picking, packing, and shipping inventory.
3. Legal Document Management - Handwriting recognition technology can simplify legal document management by quickly scanning and organizing paper documents with handwritten notes and signatures.
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