222 results about "Portable document format" patented technology

The invention provides a file conversion method and device, equipment and a program product, and the method comprises the steps: obtaining a to-be-converted file which is an image file or a portable document format file, i.e., a PDF file; identifying elements in the to-be-converted file, determining attributes of the identified elements based on an identification result, and performing logic layering on the identified elements; the elements comprise texts; generating a structured document based on the logical layering result and the attributes of the identification elements; and converting the structured document or the edited structured document into an editable file in a portable document format, so that the PDF can be edited. According to the method and the device, the automatic conversion from the image or the PDF to the editable PDF is realized, and in the conversion process, through the structured document generated in the middle, while the logic level of the document is improved, a user is supported to carry out instant editing, and the editing efficiency and convenience are improved.

The invention relates to the technical field of data processing and the field of financial science and technology, and discloses a structured extraction method of PDF (Portable Document Format) document data, which is used for analyzing a PDF document and identifying a content type by configuring parameters of a coordinate system, and determining boundaries of text and table contents. And positioning the text content through a coordinate system, carrying out coherence check, ensuring the continuity and integrity of the text, and extracting the text content. For the table content, judging whether a table boundary exists or not, if so, identifying an intersection point of table lines, determining a cell position and extracting the content; and if the clear boundary does not exist, determining column and row segmentation lines of the table by using a coordinate overlap analysis method, and extracting the content of the boundless table. According to the method, the structured data in the financial report can be efficiently and accurately extracted, the defect of poor processing of complex tables in the prior art is overcome, and the method is suitable for processing the complex tables and text contents in the financial report.

The invention discloses a PDF (Portable Document Format) document content processing method and device, equipment, a storage medium and a program product, and relates to the technical field of document structured processing. Preprocessing the PDF document to obtain a to-be-processed data set corresponding to each page of the PDF document; determining the page type of each page of the PDF document based on all the to-be-processed data sets and the image of each page of the PDF document; and based on the to-be-processed data set corresponding to each directory page and the image of the directory page, extracting a hierarchical structure relationship of each title data in the directory page, and constructing a directory tree. And matching the title data of the directory page and the title data of the non-directory page based on the semantic similarity and the text similarity between the title data of the directory page and the title data of the non-directory page, and correspondingly filling the content data under each title node of the directory tree according to a matching result to obtain a structured representation result of the PDF document. According to the method and the device, the semantic reduction degree and the structural quality of the PDF document are improved.

The invention discloses a graph retrieval enhancement generation method based on a telecom specification multi-modal knowledge graph, and belongs to the technical field of multi-modal knowledge graphs. The method comprises the following steps of: firstly, analyzing titles, texts, pictures and tables in a PDF (Portable Document Format) by virtue of layout analysis, OCR (Optical Character Recognition) and LLM tools through a telecom standard analysis agent; calling a telecom specification multi-modal extraction agent, and extracting chart names and description information from pictures and tables by using a multi-modal large model; the method comprises the following steps: constructing a title hierarchical structure and extracting a triple from a text block, and constructing a multi-modal, multi-hierarchy and multi-granularity telecommunication specification knowledge graph comprising a title, the text block, a picture, a table and the triple; and finally, calling a telecommunication specification multi-granularity retrieval agent, and deeply combining the knowledge graph with the large model, thereby solving the problem that the traditional RAG cannot perform multi-hop reasoning and relieving the illusion problem possibly occurring in the question and answer process of the large model.

The invention provides a multi-mode PDF (Portable Document Format) document analysis method, device and equipment and a medium, and the method comprises the following steps: loading a PDF document and carrying out preprocessing, including page splitting and content cleaning, to generate standardized document data; dynamically extracting contents in the standardized document data, wherein the contents comprise paragraphs, pictures and table elements; processing the dynamically extracted pictures, including shielding meaningless pictures based on a preset rule, and analyzing picture contents by using a multi-modal model to generate readable picture information; processing the dynamically extracted table, including optimizing and merging the table structure into a single element format to generate structured table data; combining paragraphs, readable picture information and structured table data, converting the paragraphs, the readable picture information and the structured table data into a complete structured document format, and inserting in key positions to enhance coherence context description; and outputting the complete structured document format as a final analysis result. According to the method, the analysis precision and the knowledge extraction efficiency of the complex PDF document can be remarkably improved.

The invention provides a PDF (Portable Document Format) analysis method based on multiple models, electronic equipment and a storage medium. The method comprises the following steps: acquiring all element types possibly appearing in a complex PDF by utilizing methods such as rule extraction, layout analysis, table identification, formula detection, formula identification, multi-modal large model chart2text, multi-modal large model paragraph sorting and the like. According to the method, complete structured analysis of the complex PDF can be realized, and scanning pieces and non-scanning pieces can be supported.

The invention discloses a PDF document format conversion method, a storage medium and computer equipment. The format conversion method of the PDF document comprises the following steps: analyzing an original PDF document based on a preset document analysis algorithm to extract a plurality of original content blocks of the original PDF document; based on the structure type of each original content block, extracting document content and layout features included in the corresponding original content block; and performing semantic conversion on the document content and the layout features based on a pre-trained large model to obtain a plurality of target content blocks in a preset target format, and arranging each target content block in the target format document based on the position information of the original content block corresponding to each target content block. By means of the method, the content of the PDF document can be efficiently and accurately analyzed and converted into the corresponding target format document, the target format document can keep the document content and layout characteristics of the original PDF document, and the integrity and readability of the converted document are effectively improved.

The invention discloses a PDF (Portable Document Format) document structured extraction system based on a multi-modal language model, belongs to the technical field of document processing and optical character recognition, and aims at solving the technical problem of how to improve the existing OCR (Optical Character Recognition) technology to improve the analysis capability of a complex document structure and improve the recognition precision of handwritten forms and other non-standard fonts. According to the technical scheme, the system adopts a layered decoupling architecture and comprises an input layer, a preprocessing layer, a reasoning layer, an output layer and a monitoring and fault-tolerant module; wherein the output layer is used for multi-source data access and path management to realize a local file system or S3 cloud storage; the preprocessing layer is used for invalid document filtering and visual feature extraction; the reasoning layer is used for multi-modal model interaction and content processing; the output layer is used for outputting a content aggregation result; and the monitoring and fault-tolerant module is used for realizing real-time state monitoring, resource consumption analysis and exception handling.

The invention provides a PDF (Portable Document Format) document structured loading method based on image recognition, which relates to the technical field of image data processing, and comprises the following steps: setting a predetermined extraction scale of a document image based on margin information of a PDF document; obtaining an initial image of the PDF document with a predetermined coarse scale in predetermined extraction scales; introducing a preprocessing strategy to process the initial image to obtain a target image; a target feature parameter set of the target image is collected in a multi-dimensional mode, the loading engine classifier is activated to analyze the target feature parameter set, and a target engine category is determined; and carrying out structured loading on the initial image through the target engine category. The technical problem that in the prior art, due to the fact that a loading engine cannot be adaptively selected according to semantic features and layout forms of images in a PDF document, the image type PDF structure restoration effect is poor is solved, and the technical effect of improving complex PDF document structure reconstruction accuracy and data loading quality is achieved.

The invention discloses a PDF (Portable Document Format) element extraction method based on a rendering process and suitable for RAG (Random Access Gateway). According to the method, the PDF content is decomposed into a plurality of blocks, and the blocks are subjected to type judgment and processing. Marking the image data in the form of text placeholders, and retaining the position and reference value of the image in the document; and for the table data, the table data is converted into an HTML format so as to maintain the structural integrity, and the consistency and readability of the table data in a plain text environment are ensured. And finally converting all extracted contents into a Markdown format to be output. According to the method, text input which is uniform in format and easy to process is provided for an RAG system, information loss is greatly reduced, the problem that an existing PDF analysis tool is difficult to process complex content is solved, and system performance and data processing reliability are improved.

The invention discloses a PDF document conversion device and method, a storage medium and computer equipment. The device comprises a data processing module which converts a PDF document into a to-be-processed image and obtains original image data of an embedded image; the layout analysis module performs region division on the to-be-processed image, and determines a text region, a formula region and a table region of the PDF document; the first recognition module performs content recognition on the text region, the formula region and the table region to generate a text recognition result, a formula recognition result and a table recognition result; the second recognition module generates an image recognition result based on the original image data; the semantic analysis module generates semantic representations of a text recognition result, a formula recognition result, a table recognition result and an image recognition result through a large language model; and the PowerPoint generation module maps the obtained recognition result and semantic representation to a PowerPoint template to generate a final PowerPoint. The accuracy and content richness of generating the presentation file based on the PDF document can be improved.

The invention relates to a document content extraction method, device and equipment and a computer readable storage medium. A to-be-extracted target document is obtained, the target document is classified, the document type of the target document is determined, the document type of the target document comprises a portable document format type, a character type, a picture type, an office file type and a hypertext markup language type, and the target document is extracted based on the document type of the target document. And extracting the document content of the target document by adopting an extraction mode corresponding to the document type to obtain a target format document. Compared with the prior art, the document extraction speed can be increased, documents in any format can be compatible, all documents can be converted into the target format, all the documents can be compatible, the character attribute information, the category information, the position information and the background information of any document are reserved, and the document extraction efficiency is improved. And the loss of original information of the document is reduced.

The invention relates to the technical field of image processing and intelligent reading, in particular to a logistic regression-based PDF (Portable Document Format) file cross-page table merging and extracting method and system. The method comprises the following steps: firstly, loading a PDF file, analyzing line information in each page one by one, and constructing a transverse line set and a vertical line set of each page; calculating coordinates of intersection points of all the intersected transverse lines and vertical lines in the same page, constructing a four-dimensional matrix of each intersection point, restoring a table structure, and marking a table region page number and a context book; the four-dimensional matrix comprises four elements 0 or 1 in one-to-one correspondence with the intersection points in the up-down and left-right directions; traversing all the table areas of the PDF file, searching the table areas needing to be merged, and merging the table areas; and updating the combined table areas to a large-size page, updating the page number, and deleting the two combined table areas. The method comprises the steps of firstly analyzing lines, then transversely and vertically grouping and adjusting the lines, then merging the lines, and finally extracting intersection points according to the intersection condition of the lines; extraction of the table intersection points is guaranteed, contradictory errors possibly caused by simultaneous extraction of the lines and the intersection points are avoided, and improvement of accuracy and efficiency of subsequent table structure analysis is facilitated.

The invention provides a method, a system, equipment and a medium for generating an XML (Extensible Markup Language) file conforming to an E2B standard, and relates to the field of medical supervision data submission, the method comprises the following steps: preprocessing an input PDF (Portable Document Format) file to generate a standardized image sequence; identifying text, table and formula elements in the image sequence through a multi-modal AI visual model, and performing semantic error correction in combination with a medical field dictionary to generate structured data; based on a preset E2B semantic mapping rule, converting the structured data into an XML node label; xML node labels are injected into the dynamically constructed XSD template, and an initial XML file is generated through multi-layer verification; and outputting the standardized XML file in combination with a self-adaptive rechecking mechanism. Through a multi-mode AI visual model, a UMLS medical ontology library, XSD drive verification and a self-adaptive rechecking mechanism, high-precision, compliant and credible conversion from an unstructured medical document to an E2B standard XML is achieved.

The invention discloses a PDF (Portable Document Format) image screening method driven by intelligent analysis, which belongs to the technical field of document processing and comprises the following steps of: intelligently analyzing a plurality of PDF files to obtain a plurality of pieces of image information for format conversion; traversing the plurality of PDF files based on the plurality of bitmap formats for image capture; performing image content identification on the multiple pieces of image information according to the multiple pieces of image proportion data; identifying the plurality of pieces of image information based on a plurality of text data sets, and traversing a plurality of PDF files according to a plurality of image indexes; simulation preselection is carried out based on the target PDF file, full-text search is carried out based on multiple preselected images, preselected feedback information is sent to the remote control terminal, and an image screening instruction is generated to carry out intelligent screening response on the PDF images. According to the method and the device, the problems of low PDF file image processing efficiency and inaccurate information extraction in the prior art are solved, so that a user faces tedious manual screening and processing flows in document management and data analysis.

The invention relates to the field of document processing, and discloses a document classification splitting method and device and a storage medium. The method comprises the following steps: receiving a document vectorization instruction, and receiving document data corresponding to the document vectorization instruction; when the document type is an Excel type, performing analysis processing on the document data by utilizing a preset Apache POI (Point of Interest) component to obtain a document character string; when the document type is a PDF (Portable Document Format) type, analyzing and processing the document data by utilizing a preset pdfplug component to obtain a document character string; when the document type is a general document, analyzing the document data by using a LangChain4j component to obtain a document character string; and receiving a storage instruction of a user, and storing the document fragment data into a preset vector database according to the storage instruction. In the embodiment of the invention, the document data is classified and split based on the types of the document data, so that the document accuracy of the document splitting is improved, and the effect that the AI large model replies more accurately after the corpus is input into the AI large model is realized.

The invention discloses a method for extracting and processing text data of a PDF (Portable Document Format) document, which comprises the following steps: word processing: dividing the data content of a word object in the PDF document into three attributes of characters, paper coordinates and printing size, and carrying out differentiated processing according to the three attributes so as to obtain standard data of the word in an article; extracting character objects from the PDF document, extracting characters with coordinates in a table range region, and storing the characters into a character object set in sequence; table processing is carried out, data content of a table in the PDF document is divided into table structure objects, paper coordinates and printing sizes, and the table structure objects are divided into cell characters, cell sizes and row and column positions; extracting table objects in each page, and storing the table objects in a table object set in sequence; the problems that in the prior art, tables and characters in bidding document PDF documents are not accurately extracted, and the tables cannot be accurately recognized during page crossing are solved, common announcements, papers and scheme type PDF documents can be processed, and accurate article structure data can be restored.

The invention discloses a multi-modal semantic understanding method and system oriented to an unstructured PDF document, and relates to the related field of data processing.The method comprises the steps that a relational knowledge representation plan is called to analyze a target PDF document, a target relation framework is obtained, cross-modal alignment processing is conducted on the target relation framework, and a target alignment framework is obtained; performing multi-modal interaction analysis on the target alignment framework to obtain target fusion information; performing reconstruction processing on the target PDF document based on the target fusion information to obtain a target reconstruction document; and taking the semantic information of the target reconstructed document as multi-modal semantic understanding of the target PDF document. The technical problem that the semantic understanding precision is insufficient due to the fact that modal semantic association is missing and interaction is insufficient in existing unstructured PDF document-oriented multi-modal semantic understanding is solved, and the technical effect of improving the semantic understanding precision by integrating the multi-modal information in the document is achieved.

The invention belongs to the technical field of text translation, and provides a method and a system for translating a PDF (Portable Document Format) text containing complex features. The method comprises the steps that a PDF analysis engine is initialized, a PDF file is read, and basic information of the PDF file is extracted; judging whether the PDF file is a complex file or not, and recording complex features; preprocessing an image in the complex document, and calling a corresponding text detection model according to the complex features to perform text region identification; and extracting layout information of the text in the text area, translating the text in the text area through a translation model, performing typesetting according to the layout information after a final translation result is obtained, and outputting a target translation file in a user-defined manner. According to the method, the complex content in the PDF document can be intelligently identified, and the original document format is completely reserved in the translation process; meanwhile, multi-language translation is supported, and the accuracy of PDF document translation is guaranteed.

The invention provides a method for processing text unstructured information by calling an artificial intelligence API (Application Program Interface) by utilizing Python. The method comprises the following steps: S1, automatically extracting text, table and picture information from a PDF (Portable Document Format) file by utilizing Python and a related library; s2, performing a data analysis and storage technology based on a GPT model by using a function, and outputting a CSV file; and S3, performing table merging and data cleaning on the CSV file. According to the method for processing the unstructured information of the text by calling the artificial intelligence API interface through the python, an automatic process for extracting the text data in batches and a full-automatic process design from PDF document extraction to unstructured data generation are provided, manual intervention is reduced, and the processing efficiency and accuracy are improved. Especially for processing of large-scale documents, the working efficiency is remarkably improved through the process.

The invention discloses a PDF (Portable Document Format) identification and preprocessing method for large model application. The method comprises the following steps: S1, file reading and primary processing: reading and processing the content of a PDF file; s2, document content replacement: identifying and extracting a text segment by using LLamaIndex, and replacing the text segment with the text content extracted by PDFP luber; s3, overlapping the content between the pages: from the second page, splicing the content tail of the previous page with the content head of the current page; s4, node manufacturing and processing; s5, performing preliminary segmentation; s6, vectorization processing: calculating the cosine similarity of the embedded vector, and converting the cosine similarity into a cosine distance; s7, threshold setting and semantic segmentation: setting a distance threshold, and segmenting the text into a plurality of paragraphs; s8, summarizing and storing text segments; s9, processing the table; and S10, processing the picture. According to the method, the PDF content is efficiently preprocessed by adopting the PDFP blue library, the OCR and the semantic segmentation technology, and the method has the advantages of high data accuracy, high processing efficiency and wide application range.

The invention relates to a PDF (Portable Document Format) file table analysis method. The PDF file table analysis method comprises the following steps: a PDF document to picture format conversion step: converting a PDF document page to be analyzed into a picture format; a table region detection step: inputting the converted picture into a pre-trained table recognition OCR model, wherein the model can recognize a table region frame range in the picture; and a table area cutting step: cutting the original picture according to the table position coordinate P provided by the model, and only reserving the picture of the table area frame part. A picture-to-HTML format conversion step: adopting a pre-trained OCR (Optical Character Recognition) model to identify a table space structure in the table picture and contained cell text information and structural features, and then converting the table space structure, the cell text information and the structural features from the picture format into structured table data based on the extracted table space structure, the extracted cell text information and the extracted structural features, and further converting into a table in an HTML format. According to the invention, the accuracy and efficiency of extracting the table information from the PDF file can be improved.

The invention provides a PDF document automatic watermark removing method, system and device and a medium, and the method comprises the steps: analyzing a to-be-processed PDF document, so as to detect whether a PDF page in the analyzed to-be-processed PDF document contains a watermark element of a non-standard watermark type or not; if yes, allocating the PDF page to a first task node in a format conversion task pool, and executing a format conversion task for the PDF page allocated by the first task node through the first task node to obtain a picture file corresponding to the PDF page; distributing the picture file to a second task node in the watermark removing task pool, and executing a watermark removing task for the distributed picture file through the second task node to obtain a new picture file; and generating the watermarking-free PDF document based on the new picture file. According to the method, the standard watermark and the non-standard watermark in the PDF document can be removed efficiently with high quality, and the processes of reading, printing, sharing and the like of the PDF document are smoother.

The invention provides a structural decomposition and information identification method of multi-modal data, a medium and equipment, and the method comprises the steps: obtaining to-be-processed multi-modal literature data, the multi-modal literature data being documents or pictures, the types of the documents including word documents and PDF (Portable Document Format) documents; the method comprises the following steps: converting to-be-processed multi-modal literature data into to-be-processed literature data in an image form, preprocessing the to-be-processed literature data to obtain input image data, inputting the input image data into a field fine-tuning DETR model, identifying a logic region category of the input image data through the field fine-tuning DETR model, obtaining a region category identification result, and outputting the region category identification result. The logic region category comprises a title region, an author region, an abstract region, a text region, an illustration region, a table region, a formula region, a footer region and a reference region; and carrying out differential information extraction on each region category identification result to obtain information corresponding to each region category identification result so as to realize accurate identification of information in the multi-modal data.

A cloud-based network security system (NSS) is described. The NSS extracts information about a document (e.g., a portable document format (PDF) file) and uses heuristic rules to analyze the information to predict whether the document contains malicious software. Specifically, prior to detonation of the document, object features, code features, and embedded features of the document are extracted. The extracted information is input to a classification engine that applies sets of heuristic rules to groups of the features of the document to provide an output indicating a prediction of whether the document contains malware. A routing engine provides the document for further analysis (e.g., deep scanning) if the document is suspicious or bypasses the further analysis if the document is benign. Security policies can then be applied based on the classification.

The invention provides a method for extracting chemical reaction information from journal papers, and relates to the technical field of chemical informatics. The method comprises the following steps: firstly, extracting a reaction information unit from a journal paper PDF (Portable Document Format) file; carrying out reaction information modal segmentation on the reaction information units; automatically segmenting the extracted reaction information unit into three types of picture information including a chemical reaction expression, a table and a conditional description text; respectively analyzing the segmented chemical reaction expression picture, the table picture and the conditional description text picture; and finally, integrating the analyzed information into complete chemical reaction information. Meanwhile, the extracted, segmented, analyzed and integrated reaction information is stored in an optimized mode, and subsequent use and updating are facilitated. The method can be used for efficiently and accurately extracting reactants, products, reaction conditions, yield, remarks and other information related to the chemical reaction in the journal paper.

The invention relates to the technical field of computers, and discloses a PDF (Portable Document Format) document processing method, device and equipment and a medium, the method comprises the following steps: carrying out global layout analysis on a PDF document to detect element information of all structural elements in the PDF document, the element information comprising bounding box coordinates, element categories and a reading sequence; based on the bounding box coordinates, cutting out a corresponding local area from the PDF document, and performing content identification on different types of structural elements corresponding to the local area; according to the element category and the reading sequence, carrying out recombination and logic division on a content recognition result obtained by carrying out content recognition to obtain a plurality of logic parts; and for each logic part, constructing a cue word, calling a large language model to carry out thinking chain reasoning so as to extract structured information corresponding to the logic part, and merging the structured information to generate a JSON file. According to the method and the device, the PDF document processing accuracy is improved.

The invention discloses a PDF image quick retrieval system fused with content awareness, which belongs to the field of document retrieval, and comprises a retrieval task receiving module used for receiving a PDF image retrieval task of a target user; the retrieval expansion module is used for performing verification expansion on the retrieval target words to generate a retrieval keyword list; the content perception retrieval module is used for performing content association retrieval on the PDF file to obtain a plurality of associated image blocks; the deep retrieval module is used for performing deep retrieval on the plurality of associated image blocks to obtain a PDF image retrieval result; and the retrieval feedback module is used for feeding back the PDF image retrieval result to the target user. According to the method and the device, the technical problems of low PDF document image retrieval efficiency and insufficient retrieval result accuracy in the prior art are solved, and the technical effect of improving the accuracy and the efficiency of PDF image retrieval through a mode of combining content perception and depth feature twin constraint is achieved.

The invention discloses a PDF (Portable Document Format) file layout identification method based on mask processing, and aims to realize accurate identification of various layout elements such as titles, texts, page headers, page footers, tables and pictures in PDF files. According to the method, characters and coordinates in a PDF file are analyzed through MuPDF, different color masks are adopted to replace texts and punctuation marks respectively, original content of a non-text area is reserved, a page picture subjected to mask processing is generated, a training data set is constructed based on the page picture, training is conducted through a target detection model (such as YOLO), and a high-precision layout recognition model is obtained. According to the method, the accuracy and the automation level of PDF layout recognition are effectively improved, and the method has a wide application prospect.

The invention discloses a one-time signing method suitable for a PDF perforation seal. The one-time signing method comprises the steps that a user uploads a to-be-signed file; selecting a related electronic seal and rotating a signature strategy; a signing button is clicked, and signing data is sent to a rear end for processing; analyzing and calculating a signature; assembling and completing the electronic signature; according to the method, the seal picture is attached to each position needing to be stamped with the digital signature, and finally the same digital signature is stamped at a time, so that the signature and seal efficiency is remarkably improved. The method has the advantages of high efficiency and small files.