'pdf' 검색 결과

Nutrient DWS API로 PDF, Office 문서와 이미지를 변환·가공합니다. 글자와 표 추출, 스캔 문자 인식, 민감 정보 가림, 서명과 양식 입력을 처리합니다.

• Office 문서와 HTML을 PDF로 변환
• 스캔 문서를 검색 가능하게 변환
• PDF 표를 Excel로 추출

Extract text from PDFs when read_file fails or returns unreadable data. Use dedicated command-line tools or Python libraries to retrieve text and tables, preserve spacing where possible, inspect document properties, and validate the extracted content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract text when PDF reading fails
• Retrieve text while preserving layout spacing
• Extract tables as structured data

Check generated PDFs with Python and PyPDF2 before delivery. Verify expected page counts, detect unreadable or zero-page files, and collect results across multiple documents, with optional file size checks for unusually small outputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking PDFs against required page counts
• Detecting unreadable or zero-page PDFs
• Verifying several generated PDFs together

Troubleshoot PDF creation by trying pandoc, then reportlab, then fpdf2. Check tool availability, install missing Python libraries as needed, run generation with an explicit working directory, and verify that the output file exists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting Markdown or HTML to PDF
• Trying another tool after PDF generation fails
• Checking PDF tools and installing missing libraries

Download PDFs, check that the files contain valid content, and try several text extraction tools in sequence. The workflow helps detect downloaded error pages, insufficient text, and extraction failures while recording diagnostic details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract text from official PDF handbooks
• Check whether a downloaded PDF is actually an error page
• Try another extractor when PDF text extraction fails

Extract text from PDFs, create new PDF documents, and work with forms. Use it for press releases, branded one-page documents, and printable design deliverables. The full workflow requires installing the upstream skill bundle.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text from an existing PDF
• Preparing a press release as a PDF
• Creating a branded one-page document

Convert PDF text and tables into Markdown for later summarizing, searching, or data extraction. Embedded images are saved separately and grouped by page in an appendix. Process individual files or entire folders, including subfolders.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare PDF reports for summarizing
• Convert a folder of PDFs in one batch
• Extract embedded images grouped by page

Retrieve PDFs from web sources and extract their text through an ordered sequence: direct reading, pdftotext, then PyMuPDF. Includes file validation, extraction checks, and guidance for documenting inaccessible sources and distinguishing supplementary content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrieving and reading PDFs from government websites
• Extracting text from technical manuals
• Handling PDF extraction failures in automated workflows

Download PDFs or process local files, extract their text, and turn processed data into structured PDF reports with ReportLab. Includes alternative extraction methods and text output when PDF generation fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text from technical manuals
• Processing PDFs downloaded from websites
• Creating PDF reports with sections and tables

Create and process PDFs, extract text and tables, combine or split pages, and build or fill forms. The skill also includes guidance for recognizing text in scanned documents and editing text in existing PDFs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create reports or invoices as PDFs
• Extract PDF text and tables for reuse
• Combine documents or extract selected pages

Check generated PDFs with PyPDF2 before reporting completion. A Python script verifies that each file can be opened and has the expected page count, helping identify outputs that need regeneration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a generated one-page summary
• Verifying page counts across multiple PDFs
• Checking PDFs before reporting completion

Check PDF page counts, document details, and required text using command-line tools. This skill provides a verification workflow for environments without Python PDF libraries, including text extraction from selected pages and searches for expected sections.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a PDF has the expected number of pages
• Searching for required sections or terms in a PDF
• Extracting text from a selected page range

Extract text from difficult PDFs by trying several libraries and command-line tools in sequence, then using OCR, which reads text from images. Record failed attempts and check that extracted content meets the task requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text from scanned PDFs
• Retrying extraction when PDF text is garbled
• Reading PDFs with tables or complex layouts

Recover readable text from PDFs when read_file or Python extraction fails. Use pdftotext, a command-line text extractor, with options to preserve layout, specify character encoding, or save extracted content to a file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering text after PDF reading fails
• Extracting text while preserving page layout
• Saving text from large PDFs to a file

Extract text and tables from PDFs, create new documents, and reorganize pages. Use it to merge or split files, fill forms, add watermarks or password protection, and turn pages into images for visual inspection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting PDF tables into an Excel workbook
• Merging PDFs and splitting or rotating pages
• Filling application forms and checkboxes

Download PDFs from web URLs or process local files, verify their format, and extract text with pdftotext. If extraction fails or looks poor, try PyMuPDF, check the results, and document any remaining source limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Download a PDF from a web URL and extract its text
• Convert a local PDF into a text file
• Try another method after failed or garbled extraction

Read, create, and review PDFs with checks of both content and appearance. Uses Python tools for document generation and text extraction, then inspects rendered page images for spacing, alignment, and readability.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a PDF with consistent formatting
• Extract text from an existing PDF
• Check tables and text for layout problems

Generate PDF documents from JSON definitions with headings, tables, images, and page numbers. Use file, in-memory, or streaming output, and extend document layouts with custom components and externally managed application state.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate invoice PDFs from JSON definitions
• Build documents containing tables and images
• Stream generated PDFs through an HTTP response

Extract PDF text using a sequence of tools when one method fails. Validate downloaded files, check whether the extracted text is substantial, record the successful method, and investigate alternative sources if extraction remains unsuccessful.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text from regulatory documents and handbooks
• Checking whether a PDF download returned an error page
• Trying another tool after empty or garbled text extraction

Extract text from PDFs by trying several methods in sequence and checking the results. When ordinary extraction yields too little text, switch to OCR, which recognizes text in images, to process scanned documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text from PDFs of unknown types
• Reading text from scanned documents
• Batch processing PDFs in different formats

Extract readable text from PDFs when normal file reading returns garbled or unusable content. The workflow switches between extraction tools, checks the results, and includes optical character recognition for scanned pages when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering readable text from garbled PDF output
• Preparing PDF text for data processing
• Extracting text from scanned PDFs

Generate DOCX, PDF, and HTML from Markdown through separate, observable conversion steps. The workflow replaces problematic characters for PDF output, captures error messages, and switches PDF engines when needed to troubleshoot document generation failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Export one Markdown document to DOCX, PDF, and HTML
• Investigate unclear document conversion errors
• Replace special characters before PDF conversion

Process PDF forms, extract tables and text, and recognize text in scanned documents with OCR. Included scripts support data validation, batch workflows, merging, and page splitting, with table exports to CSV or Excel.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fill PDF forms after validating submission data
• Export tables from reports to CSV or Excel
• Extract text from scanned PDFs with OCR

Generate PDF documents when sandbox execution fails with unclear errors. Check available Python libraries, switch to direct shell execution, and verify the resulting file while collecting error details to help diagnose problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating a PDF after sandbox execution fails
• Checking PDF libraries and choosing an alternative
• Verifying generated PDFs and investigating errors