Results for “full-text-extraction”

Extract clean article content — title, author, date, and body text — from PDFs, Word docs, and web pages.

Extract structured fields from modello f24 documents.

Extract merchant, date, line items, tax, and total from receipts.

Extract structured fields from modello 730 documents.

Extract text from PDFs/scans (pymupdf, marker-pdf).

Extract parties, obligations, restrictions, permitted disclosures, and expiry dates from non-disclosure agreements.

Extract structured knowledge from source material. Comprehensive extraction is the default — every insight that serves the domain gets extracted. For domain-relevant sources, skip rate must be below 10%. Zero extraction from a domain-relevant source is a BUG. Triggers on "/reduce", "/reduce [file]", "extract insights", "mine this", "process this".

Fetches and extracts readable text from a URL, then summarizes or presents key information with source citation.

Extract full article contents from WeChat using the BrowserAct API, with keyword search and date filtering.

Extracts complete metadata from a TikTok video page by reading SSR-embedded data, including author profile, engagement stats, music info, hashtags, and slideshow images.

Extract employee, employer, earnings, deductions, tax, and net pay from Spanish or Latin American payroll slips.

Extracts clean markdown or text from one or more URLs using the Tavily CLI, with support for JavaScript-rendered pages and query-focused chunking.

Bulk extract content from an entire website or site section by crawling pages that follow links, with configurable depth, path filters, and concurrency.

Extracts structured article details and full content from Zhihu search results via the BrowserAct API, with keyword and date filtering.

Extract complete product information from any e-commerce product page using a universal multi-layer extraction strategy.

智能截断文本，保持内容的完整性和语义连贯性。适用于长文本预处理、确保文本不超过指定长度限制

Extrae transcripciones de videos de YouTube y genera resúmenes estructurados con timestamps y análisis temático.

Imported skill inventory from anthropic

Extract clean, readable content from one or more URLs using Tavily Extract via AIsa API. Useful for reading full articles without visiting the page. Use when: the user needs web search, research, source discovery, or content extraction.

Extract text from PDFs and scanned documents. Use web_extract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.

Fetch a published article from a URL and extract its title, headings, body content, and metadata into a markdown file the update pipeline can audit.

Extracts five strong, ready-to-post quotes from any long text, interview, or transcript, scoring candidates for standalone impact and tagging each with the best platform and psychological lever.

Extract vendor name, line items, totals, and dates from invoice documents.

Extract candidate name, contact details, work history, and skills from resumes.

Extract structured fields from balance sheet documents.

Extract employee, employer, gross pay, INPS/IRPEF deductions, and net pay from Italian payslips.

Extract self-contained static HTML from a built web application or React components by inlining CSS and images.

Extract structured fields from ct600 documents.

Extracts tokens, typography, spacing, component states, assets, layout, responsive rules, and interactions from a UI reference.

Extract official websites and social media profiles (LinkedIn, Facebook, X/Twitter, Instagram, YouTube, TikTok) from a company name or website URL using automated browser scripts.

Extract violation details, fine amounts, vehicle information, and payment deadlines from traffic fine notices.

Fetches any X/Twitter post as structured JSON via the ADHX API, including full article content, author info, and engagement metrics, without scraping or a browser.

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or