'reportlab' 검색 결과

Apply ReportLab’s built-in paragraph styles to PDF titles, headings, and body text. Learn how to reuse existing styles and create named variations without duplicate style names that can cause KeyError exceptions.

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• Applying consistent styles to PDF titles and body text
• Checking available built-in paragraph styles
• Creating a custom style based on an existing one

Create Word, PDF, and HTML documents from Markdown, choosing pandoc or ReportLab to suit formatting and layout needs. The workflow covers character handling, output checks, and an alternative generation method when PDF conversion fails.

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• Export a Markdown report to Word, PDF, and HTML
• Create PDFs containing multilingual text and symbols
• Generate PDFs without LaTeX

Create multi-page PDFs with headings, tables, and consistent styling using reportlab, a Python library for building PDF documents. Run code directly through run_shell to control margins and page breaks when shell_agent document creation is unreliable.

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• Creating multi-page reports with tables
• Adjusting document margins and page breaks
• Generating PDFs when shell_agent creation fails

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.

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

Run multi-line Python scripts through run_shell when execute_code_sandbox repeatedly fails. The guide explains heredocs, a way to pass blocks of text to a command, with examples for PDF creation, data processing, and inspecting errors.

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• Running Python after repeated sandbox errors
• Creating a PDF with ReportLab
• Summarizing CSV data with pandas

Run Python through run_shell when code execution tools repeatedly fail. This workflow embeds a multiline script directly in a shell command, supporting tasks such as CSV conversion and PDF generation while checking execution output.

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• Continuing Python work after repeated tool errors
• Converting CSV data to JSON
• Generating PDFs with reportlab

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.

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

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.

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

Extract text, tables, and images from PDFs, or create and modify PDF documents. Covers merging, splitting, rotation, watermarks, password protection, page rendering, and OCR, which turns scanned page images into text.

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• Extract PDF tables into an Excel file
• Merge documents or split selected pages
• Read text from scanned PDFs

Create PDF checklists, reports, and scorecards with Python in a sandbox, an isolated code execution environment. The workflow covers choosing a library, arranging headings and tables, generating the document, and checking that the output file exists.

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• Creating a PDF checklist for distribution
• Organizing assessment results into a scorecard
• Producing reports with headings and tables

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.

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

Recover PDF or DOCX generation when execute_code_sandbox fails with unclear errors. Use run_shell to execute Python directly, check required libraries, report specific failures, and verify that the output file was created.

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• Retry PDF generation after an unclear sandbox error
• Generate DOCX files by running Python through the shell
• Check and install missing document libraries

Generate PDF checklists, reports, and assessments with sections, tables, and scoring criteria using Python. Choose a suitable library, save the document for download, and check the output, with shell execution as an alternative when the sandbox fails.

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• Turn a checklist into a PDF with sections and tables
• Create an assessment report with criteria and scores
• Produce PDF reports containing charts

Generate PDF checklists, reports, and scorecards with Python. Organizes content into sections and tables, supports scoring criteria and status colors, and includes steps to locate and verify the generated files.

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• Creating PDF checklists with status and notes columns
• Preparing scorecards with weights and scores
• Turning findings into a report with multiple sections

Check generated PDFs against a page limit or target count, then adjust layout and regenerate as needed. Provides a repeatable workflow for tuning margins, images, tables, and text while respecting readability limits.

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• Keep a report within a page limit
• Fit a map PDF onto one page
• Correct overflow caused by images or tables

Recover document and PDF generation tasks when sandbox errors provide little detail. Checks Python libraries, runs generation through the shell, captures errors, and verifies output files, with alternative PDF tools and text output as fallback options.

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• Recovering PDF generation after unclear sandbox errors
• Checking required PDF libraries before generation
• Capturing detailed document generation errors

Investigate unclear errors in Python PDF generation by displaying output immediately and inspecting error details. Use the resulting traceback, a record of where execution failed, to identify missing dependencies, font problems, or invalid file paths.

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• Investigating unknown errors when saving PDFs
• Checking missing fonts and dependencies
• Diagnosing incomplete PDFs or silent crashes

Generate a professional PDF restaurant report by scanning RESTAURANT-*.md files in current directory and running the bundled Python ReportLab generator

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비자 신청용 증명서 이미지에서 글자를 읽어 숫자, 날짜, 금액을 유지하며 영어로 번역합니다. 원본과 정리된 번역문을 별도 페이지에 담은 이중 언어 PDF를 만듭니다.

• 비자 신청용 예금 증명서 영어 번역
• 재직·소득 증명서 영문본 작성
• 퇴직 증명서 이미지 영어 번역

PDF 생성, 글과 표 추출, 페이지 병합·분할, 입력 양식 생성과 작성을 지원합니다. 스캔 문서의 문자 인식과 기존 PDF의 글 편집 절차도 안내합니다.

• 보고서와 청구서를 PDF로 만듭니다
• PDF의 글과 표를 재사용합니다
• 문서를 합치거나 필요한 쪽을 추출합니다

PDF의 텍스트·표·이미지 추출, 병합·분할·회전, 문서 생성과 양식 입력을 지원합니다. 스캔 문서의 문자 인식과 암호 보호·해제도 다룹니다.

• PDF 표를 Excel로 추출
• 자료 병합 및 필요한 페이지만 추출
• 스캔 PDF의 문자 인식

Extract text from PDFs, inspect page counts and document metadata, merge files, or split them into individual pages. Create PDFs from Markdown, HTML, or Python code, using the tools suited to each task.

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• Extracting text from a PDF
• Combining several PDFs into one
• Splitting a PDF into individual pages

Read, create, and organize PDF files, including merging documents, splitting pages, extracting tables, and filling forms. It also covers password protection and OCR, which recognizes text in scanned pages for extraction or search.

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• Merge PDFs or split out selected pages
• Extract PDF text and tables for reuse
• Recognize text in scanned documents

Regenerate downloadable PDFs for four Remotion legal documents after updating their MDX source pages. The workflow covers generation, checking content and page layout, and committing the updated sources together with the PDFs.

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• Refresh legal PDFs after editing source pages
• Check PDF headings, tables, links, and page breaks
• Commit legal document sources and PDFs together