Function Introduction
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Intelligent document extraction
Contracts, overseas invoices, order forms, legal documents and other documents can be extracted from the letter.
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Extraction fields can be set by yourself
You can set the name, time and other fields that need to be extracted.
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Structured data output
Support JSON, TXT, EXCLE and other mainstream formats, but also supports the export of double PDF files.
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Standard API interface
Provide a standard API interface, can be completed with the file system, contract management system, etc. seamless connection.
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Cross-Platform Compatibility
Compatible with major platforms including Android, iOS, and HarmonyOS.
Product Superiority
Strong OCR recognition capability
- Both support for printed handwritten Chinese (Simplified Chinese and Traditional Chinese) also supports English, digital OCR recognition, high single-word OCR recognition rate
Image pre-processing capabilities
- Support for image enhancement, image denoising, seal filtering, image correction, binarization and other image processing capabilities.
Layout analysis and restoration
- Automatically analyze the image in the table, text information, and support for the automatic reduction of the table output
Multi-format file recognition
- Both support for Png, Jpg, PDF, Tif, Bmp and other mainstream image OCR recognition, but also supports localized OCR recognition of OFD files.
Powerful language understanding and multimodal comprehension capabilities
- Powerful language comprehension ability, can accurately understand the text and images and other key information, to reduce misjudgment and omission.
Zero or few sample learning
- Based on 14B's large model parameter scale, it can show good performance even without a large amount of labeled data.
Application Scenarios
- Finance and Insurance
- Healthcare
- Education
- Government and Public Services
- Legal Services
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Finance and Insurance
Intelligent document extraction in the finance and insurance industry can automatically process a large number of financial documents, insurance documents and other documents to quickly extract key information, such as policy number, policyholder information, insurance amount and so on. The system can efficiently recognize documents in different formats (PDF, images, etc.), reducing manual operations and lowering the error rate. This technology helps financial companies improve data processing efficiency, speed up report analysis, enhance customer service, and optimize the claims process.
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Healthcare
In the healthcare industry, Intelligent Document Extraction can automatically identify key information in documents such as electronic medical records, drug labels, and examination reports. Patient names, diagnostic results, prescription contents, etc. are extracted through OCR technology, reducing manual entry errors and improving the accuracy and efficiency of data processing. The system also improves the accuracy of patient information management, drug tracking and other aspects of the system, providing support for intelligent medical and health management.
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Education
In the education industry, Intelligent Document Extraction can be used for test paper correction, digital management of student assignments and sharing of educational resources. The system can automatically scan and analyze students' answer sheets, extract the content of the answers and grade them, saving teachers' time for correction. The digital management of teaching materials such as textbooks and lecture notes enables efficient sharing of educational resources. In addition, the automated processing of administrative documents can also enhance school management efficiency and promote the digitalization of education.
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Government and Public Services
Intelligent document extraction helps the government to automate the processing of ID cards, policy documents, public records, and so on. The system is capable of extracting key information (e.g. name, ID number, policy terms, etc.) from documents to speed up the document review and validation process. It improves efficiency in administrative document processing and red-title document management, while facilitating the digital management of public records and promoting the intelligence and transparency of government services.
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Legal Services
In the legal industry, intelligent document extraction technology can help automate the processing of contracts, legal documents, case evidence and other documents, and quickly extract important clauses, dates, responsible persons and other information. By extracting structured data from contracts, lawyers can quickly identify potential risks and make assessments. For the digital organization of legal documents and evidence materials, it improves the efficiency of legal services and reduces the cost of manual review and document organization.