'ocr' 검색 결과

Turn a vague development idea into clear goals, constraints, and acceptance criteria through a guided interview. It checks unresolved decisions and confirms the agreed goal before moving toward a Seed, the requirements document used by Ouroboros.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying a vague idea before development
• Defining completion criteria for a new feature
• Agreeing on scope and constraints

Turn reference images into prompts for AI image generation by describing composition, lighting, colors, and materials. Receive a main prompt and a negative prompt that specifies unwanted features, tailored to the image’s visual medium.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recreating a reference photo’s composition and lighting
• Turning an illustration’s visual style into a prompt
• Describing materials and backgrounds in product images

Extract text, tables, and chart information from PDFs by distinguishing text pages from scanned images. Process every page, search across the document, and interpret numeric values with attention to their units.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract text and tables from scanned invoices
• Find keywords across a long PDF
• Read chart data embedded as images

Extract and analyze text, tables, numbers, and charts from Word, PDF, and PowerPoint documents. Process complete files or document collections, aggregate findings, and verify counts, calculations, and units before presenting answers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract tables and numbers from reports
• Compare and summarize multiple documents
• Read scanned PDFs and image-only slides

Test whether CAPTCHA protections actually block form actions on the server. The skill checks missing or empty fields, reused tokens, tokens accepted for other actions, and inconsistent enforcement, then confirms bypasses through completed actions such as registration or login.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking CAPTCHA enforcement on login forms
• Testing registration and password-reset endpoints
• Verifying token reuse and action binding

Extract statistical values from research PDFs for meta-analysis, which combines results across studies. Track each value’s source and confidence, prioritize review, and manage human corrections and final approval in a shared data structure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting statistics from research PDFs
• Prioritizing uncertain or conflicting values for review
• Tracking human corrections and final approval

Prepare research papers for RAG, a method that supplies retrieved documents to AI. Download PDFs, extract and split text, and build a local searchable database, with parallel processing for document batches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a RAG document collection from selected research papers
• Download and extract text from batches of paper PDFs
• Create a local vector database without paid embedding APIs

Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a manuscript before journal submission
• Examine research methods and statistical validity
• Challenge core arguments and alternative explanations

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Socratic ideation and idea routing — think through ideas before committing to plans

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Manage your self-hosted Immich photo library through conversation: natural language and OCR search, geographic album curation, duplicate detection, people and faces, metadata repair, video frames and PDF photobooks. 94 MCP tools and 13 skills, tested live on Immich 2.x and 3.x. Install: claude plugin install immich-photo-manager

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Geolocate or chronolocate a photo with tool-verified reasoning (where was this taken / when was it taken / photo geolocation / geo-guessing). Given one or more photos, intake.py does metadata, OCR and reverse image search (Baidu/Yandex) in one command; clues and candidates go on a candidate board (board.py) that ranks them and gives the next step; clues.py looks up calling codes, driving side, plates and area codes from region packs; for satellite and street view the machine ranks first and you look only at the top few (CLIP in sat_scan.py, DINOv2+SIFT in match.py); plus sun and shadow math, OSM Overpass and DEM skylines. Every conclusion is checked against real data; output is coordinates + error radius, evidence images and tiered confidence. Use when the user shares a photo and asks where was this taken / geolocate this / when was this taken / 这是哪 / 在哪拍的 / 帮我定位这张照片 / 网络迷踪 / 图寻 / 几点拍的.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

[omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for source, permission, and hallucination risk. Use when the user says: media-input-operator, media input operator, media input, audio transcription, audio transcript, transcribe audio, transcribe this audio, meeting recording.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence). Use for extracting text, tables, key-value pairs from documents, receipts, invoices, IDs, or building custom document models. Triggers: "document intelligence java", "form recognizer java", "extract text from PDF java", "OCR document java", "analyze invoice receipt java", "custom document model java", "document classification java".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: "Document Intelligence", "DocumentIntelligenceClient", "form recognizer", "invoice extraction", "receipt OCR", "document analysis .NET".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Socratic deep interview with mathematical ambiguity gating before explicit execution approval

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Convert heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction, and the official MCP server.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Migrate (harvest) datasets between open-data platforms. Reads CKAN, a DCAT-US /data.json catalog (DKAN, ArcGIS Hub, data.gov), a DCAT / DCAT-AP RDF feed (JSON-LD, Turtle, or RDF/XML), Socrata, OpenDataSoft, or an ArcGIS FeatureServer, and writes them to a static PortalJS catalog or pushes them into a CKAN instance over its API. Use when moving datasets from an external open-data platform into a PortalJS portal, or bridging one CKAN instance to another.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze images using Dashscope (Qwen) Vision models for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content via Alibaba Cloud Dashscope API, especially for Chinese-language image analysis and documents.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.