Features
Our daily lives and work environments are inundated with a vast array of documents, from contracts and invoices to medical records and research reports. Navigating through this ever-growing sea of documentation can be a daunting and time-consuming task. It is now more important than ever to adopt innovative strategies and technologies to manage and process these documents effectively.
Rejecting templates and rule-based extraction
Our parsers outshine Template and Rule-based Extraction methods by tapping into the immense power of language understanding. This eliminates the need for extensive template learning, as we can adapt to various document formats and structures without rigid predefined rules.
Optical Character Recognition (OCR)
Our parsers employ Optical Character Recognition (OCR) technology to convert scanned or printed documents, including images and PDFs, into machine-readable text. This conversion process enables the extraction of information from these documents, facilitating data extraction and analysis.
Table text extraction
Our parsers excel in extracting text from tables found in various types of documents, including scanned or printed materials like images and PDFs. By employing advanced techniques, we enable businesses to effortlessly extract and analyze information from these tables.
Data review and utilization
Our document parsers provide the ability to verify the extracted data for accuracy. Users can thoroughly examine the extracted information and leverage it for diverse purposes, including analytics, data processing, and seamless integration with existing systems.
Automatic document field detection
Our parsers intelligently recognizes and auto-detects unique fields from uploaded sample documents, simplifying the field creation process.
Unstructured document handling
Our document parsers excel at processing unstructured text, allowing them to handle diverse document formats such as PDFs, images, and plain text files.
Data extraction
We can extract various fields and information from documents, including entities, key phrases, dates, numbers, and more. They leverage their language comprehension capabilities to identify and extract specific information accurately.
Multi-lingual support
Our document parsers can process documents written in different languages, making them versatile for organizations dealing with multilingual documents and international operations.
Error detection and correction
Our parsers can identify potential errors, inconsistencies, or grammatical issues within the document and provide suggestions or corrections to improve the quality of the extracted content.
Customizability
Our parsers can be fine-tuned and customized to specific document types or domains, improving extraction accuracy and adapting to unique requirements.
Contextual understanding
Our parsers leverage contextual information to enhance the accuracy of data extraction. They consider information from previous sentences or paragraphs to resolve ambiguities and capture the correct meaning of the document.
Natural language understanding
Our parsers possess advanced natural language understanding capabilities, enabling them to comprehend and interpret complex sentences, context, and nuances within the document.
Scalability
Our parsers can handle large volumes of documents efficiently, making them scalable for organizations dealing with high document throughput.
Data validation and verification
Our parsers can perform validation and verification checks on extracted data, ensuring its accuracy by comparing it against known patterns.
Named entity recognition
Our service can identify and classify named entities within the document, such as names of people, organizations, locations, dates, and more.
Integration and automation
Our document parsers can be integrated into existing software systems or workflows, enabling seamless automation of document processing and data extraction.