Document Indexing
Document Indexing
Low-Effort Document Indexing and Metadata Extraction with IDA
Document Indexing is a process in document management systems aimed at structuring and categorizing documents to facilitate the retrieval of information. It renders documents easily accessible and searchable by converting them into digital formats and tagging them with metadata such as dates, authors, and other relevant elements.
Discover how the IDA software suite excels at simplifying and streamlining the indexing process.
PLANET AI’s Document Indexing Benefits
Intelligent Document Analysis – IDA – enables low-effort auto-indexing and metadata extraction of large document volumes.
By combining the patented core technology with sophisticated machine learning capabilities, IDA delivers unmatched OCR and ICR accuracy, minimizing the need for manual correction even in the most challenging scenarios. With its rule-free approach to document classification and data extraction, IDA requires minimal training data and low maintenance efforts.
How it works
Customer Success Story
Document indexing finds application in various scenarios, such as records management within business process outsourcing (including scanning services), document and content management, as well as digital libraries and archives.
