'ocr' 검색 결과

Convert attached office documents, EPUB, CSV, and text-based PDFs into local Markdown using Firecrawl AnyDoc CLI. Files stay inside the agent container, producing readable text for review without uploading documents to an external parsing service.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Read an attached Word document as Markdown
• Extract reading context from spreadsheets or CSV files
• Convert presentations or EPUB files for text review

Equip NanoClaw agents to convert attached office documents into Markdown locally using Firecrawl AnyDoc. Agents can read Word, PowerPoint, Excel, and text-based PDF files without uploading them to an external parsing service.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading and summarizing attached office documents
• Converting documents without uploading them to an external service
• Extracting text from text-based PDFs

Analyzes supplied books, articles, PDFs, and document sets by separating claims, evidence, assumptions, and objections. Produces argument maps and traceable evidence records, with reading modes that also support whole-book understanding, explanation practice, and recall.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing an article's claims to their supporting evidence
• Organizing concepts and relationships into a knowledge map
• Explaining material from memory to find gaps in understanding

Retrieve and analyze Screenpipe recording engine and desktop app logs to investigate errors or events at a specific time. Get timestamped findings, recurring error patterns, possible causes, suggested fixes, and indications of service status.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate recording failures
• Check audio and transcription errors
• Trace events at a specific time

Convert office documents, spreadsheets, presentations, ebooks, and text-based PDFs into GitHub-Flavored Markdown, a plain-text format supporting tables. Make otherwise unreadable source files available for an agent to read and use in a task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract Word or PDF content for an agent to read
• Convert spreadsheets and slides to Markdown
• Save large documents as Markdown for selective reading

Prepare a structured JSON handoff for feature work, bringing together requirements, design decisions, key user journeys, tests, demo recordings, and pull request status. Clearly distinguish completed work from missing validation, publication steps, and other remaining tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a final handoff for feature development
• Linking key user journeys to tests and demo recordings
• Reporting unpublished work and remaining validation

Address trusted human reviewers’ change requests on an existing Otto pull request. It guides fixes on the same branch, verification, replies with supporting evidence, and requests for another review before handing over the results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Addressing human reviewers’ requested changes
• Fixing and validating changes on the existing PR branch
• Replying to review threads with commits and test evidence

Run Polly AI Review and Open Code Review repeatedly on a pull request. Track each finding, fix relevant issues, document justified dismissals, and verify that review evidence and recorded decisions cover the latest commit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resolving findings from two automated PR reviewers
• Reviewing each new commit after fixes
• Recording evidence for dismissed or duplicate findings

Explore a development idea through probing questions before committing to a plan. The skill can initiate research when needed and route the resulting ideas into GSD notes, tasks, research questions, requirements, or development phases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Think through a development idea before planning
• Explore options for an authentication strategy
• Turn an open question into a research topic

Prepare for being called on in law class with likely questions about assigned cases, tailored to the professor’s tendencies. Practice answering through guided follow-up questions, then receive a summary of strengths, gaps, and points to reread.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare for questions about an assigned case
• Practice stating a court’s decision and reasoning
• Explore how changed facts could affect the outcome

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 from existing PDFs and assemble it into a new PDF report using command-line tools. Choose an available conversion method, combine source content, and check the resulting file’s pages and included text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine content from several PDFs into one report
• Extract text from selected PDF pages
• Generate PDF reports without Python PDF libraries

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 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

Create PDF reports from existing PDFs using command-line tools. The workflow checks source files, extracts text, organizes report sections, and generates or merges PDFs, with alternative output methods depending on the tools available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a report from several source PDFs
• Checking PDF page counts and required terms
• Extracting text from selected PDF pages

Provides fallback methods for extracting PDF text when the usual file reader fails or returns incomplete content. Uses command-line tools or Python libraries to retrieve text, preserve spacing, inspect metadata, and extract tables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering PDF text after file reading fails
• Extracting text while preserving layout spacing
• Extracting tables from PDFs

Extract text from downloaded PDFs by checking for invalid files, trying three extraction tools in sequence, and validating the results. This workflow helps identify download errors, empty output, and encoding problems during document retrieval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text from government and agency PDFs
• Detecting error pages downloaded as PDFs
• Trying alternative tools after empty or garbled extraction

Extract PDF text when read_file returns unreadable binary content or little usable output. Try pdftotext with layout preservation, then use pdfplumber as an alternative when the command is unavailable or produces insufficient text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text after read_file returns binary content
• Retrying PDF extraction with empty or very short output
• Extracting text while preserving the PDF layout

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

Extract text from PDFs by checking each tool’s output and switching methods when needed. Guides agents from file reading to pdftotext and PyMuPDF, then checks readability, missing sections, and records extraction failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract text from local or downloaded PDFs
• Switch tools when file reading returns binary data
• Check extracted text for readability and missing sections

Extract readable text from PDFs with pdftotext when read_file returns garbled or binary content. Choose page ranges, preserve text layout where needed, and send the extracted content to standard output or a text file for further processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering text when read_file returns garbled content
• Preparing PDF text for search or processing
• Extracting text from selected pages

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

Extract text from local PDF files with pdftotext or PyMuPDF, a Python library for reading PDFs. Convert individual files or batches into text files that an agent can read for summarization, analysis, or further data extraction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting local PDFs to text for summarization
• Extracting text from multiple PDFs in one batch
• Reading PDFs that appear as binary data in read_file

Use extracted document content, design evidence, and local assets in iPolloWork video, slide, website, or design templates. Apply confirmed requirements and verify that supplied assets actually appear in the output, without using models to reparse references.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create slides using facts and figures from reference documents
• Apply supported reference styles to a website template
• Reuse document assets in video scenes