In the landscape of academic research, access to comprehensive and authoritative resources is crucial. GIIISP focused on academic areas, offering users an extensive database of scholarly papers from diverse fields.
As the developed document AI technologies continue to grow, GIIISP wants to make it easier for scholars to find and understand papers and authoritative materials. This vision has led to a strategic collaboration with ComIDP, renowned for its expertise in document parsing and data extraction. Together, we aim to transform the way users interact with academic content, ensuring seamless access and increased engagement.
Challenges of GIIISP
In the past, most completed academic papers were archived and shared in PDF format. Within GIIISP's extensive database of papers, users seeking literature and research on a specific topic had to manually search using thematic keywords and review each document individually. This was the only method before the advent of highly developed document AI technologies.
With the proliferation of intelligent document processing, users are now relieved from repetitive and time-consuming tasks. Such advancements allow for structural analysis of papers, extraction of text and images, and retrieval from document tables.
These capabilities can make accessing resources within the GIIISP platform easier and enable searches and Q&A based on literature data. It can greatly reduce the time for literature collection and reading summaries.
Requirements of GIIISP
After communicating with GIIISP, our R&D team has confirmed all their needs:
Functional requirements:
- Extract content from PDF-format papers
- Extract textual information from PDF-format papers
Accuracy requirements:
- Text Recognition: Accurate recognition of PDF text is fundamental, as users need to trust that the service can provide precise results, especially during academic research.
- High-precision graphic and chart recognition and extraction: Many papers include images to explain concepts, and these are crucial for research on specific topics, making them vital for user review.
ComPDF Solutions
ComIDP offers a comprehensive intelligent document processing solution specifically tailored for PDF documents, utilizing AI to enhance analysis, recognition, and extraction capabilities. We provide GIIISP with the following features on the server platform:
- Intelligent Text Extraction: This feature allows for the extraction of textual information from PDF research papers, including authors, keywords, abstracts, and references.
- Intelligent Table Extraction: The layout analysis model significantly improves the recognition accuracy of irregular tables, such as those without borders, achieving a precision rate of over 95%.
- Other Content Extraction: Images and annotations are extracted from PDF documents with high precision.
To ensure accurate PDF document recognition, ComIDP integrates several advanced capabilities:
- Deeply Trained Models: ComIDP employs layout analysis models, OCR models for multiple languages, and image pre-processing models, all of which are continuously trained to enhance extraction accuracy.
- Intelligent Document Parsing: With this function, ComIDP analyzes document elements like images, text, table areas, and document structures including titles, paragraphs, annotations, and columns. This results in precise recognition of PDF document content.
- Multi-language OCR Support: Capable of recognizing text in over 70 languages, ComIDP's OCR functionality has received high praise for its effectiveness.
What's More!
The partnership between GIIISP and ComIDP marks a significant leap forward in facilitating academic research. By integrating ComIDP's advanced document processing technologies, GIIISP redefines how researchers engage with academic content, empowering them to focus more on discovery and innovation.
Besides our high-precision text and chart recognition and extraction, we offer one year of technical support. Click the link below to experience our PDF document recognition capabilities and contact us for a solution integration trial.