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Found 12 Skills
Edit existing footage into finished videos locally with Tesseract. Make cuts, preserve dialogue, add purposeful sound design, mix audio, and decide where native motion-graphics scenes or overlays improve the story. Use for video editing and revising Tesseract projects, not avatar or video generation.
Create editable motion graphics locally in Tesseract, including full-frame animated scenes, typography, diagrams, lower thirds, and overlays on supplied footage. Use for focused motion-design work; use tesseract-video for assembling or revising a complete footage edit.
Create and revise static visual designs as editable Tesseract compositions and rendered PNGs, including posters, social graphics, slide layouts, diagrams, and web/UI mockups. Use when the requested deliverable is a design image.
Build or modify a custom browser editor for Tesseract .tsrct files. Use for editor controls, previews, and saving projects; use the motion or video skill for direct project authoring.
Extract text from images using Tesseract OCR
This skill should be used when the user needs to convert documents between formats (Office to PDF, PDF to images, image to PDF), perform PDF operations (merge, split, rotate, encrypt, decrypt), or run OCR on scanned documents. Uses local free tools — LibreOffice, ghostscript, pdftk, tesseract, and imagemagick — with no API key required. Trigger when the user says "convert this document", "export to PDF", "merge PDFs", "split PDF", "rotate PDF", "OCR this scan", "convert PPTX to PDF", "convert DOCX to PDF", or any document format conversion request.
GPU-optimized OCR using Surya. Use when: (1) Extracting text from images/screenshots, (2) Processing PDFs with embedded images, (3) Multi-language document OCR, (4) Layout analysis and table detection. Supports 90+ languages with 2x accuracy over Tesseract.
Expert in extracting text from images using Tesseract, EasyOCR, PaddleOCR, Google Vision, AWS Textract, Claude Vision. Trigger: When extracting text from images, screenshots, scanned documents, or PDFs.
Apply Web Scraping with Python practices (Ryan Mitchell). Covers First Scrapers (Ch 1: urllib, BeautifulSoup), HTML Parsing (Ch 2: find, findAll, CSS selectors, regex, lambda), Crawling (Ch 3-4: single-domain, cross-site, crawl models), Scrapy (Ch 5: spiders, items, pipelines, rules), Storing Data (Ch 6: CSV, MySQL, files, email), Reading Documents (Ch 7: PDF, Word, encoding), Cleaning Data (Ch 8: normalization, OpenRefine), NLP (Ch 9: n-grams, Markov, NLTK), Forms & Logins (Ch 10: POST, sessions, cookies), JavaScript (Ch 11: Selenium, headless, Ajax), APIs (Ch 12: REST, undocumented), Image/OCR (Ch 13: Pillow, Tesseract), Avoiding Traps (Ch 14: headers, honeypots), Testing (Ch 15: unittest, Selenium), Parallel (Ch 16: threads, processes), Remote (Ch 17: Tor, proxies), Legalities (Ch 18: robots.txt, CFAA, ethics). Trigger on "web scraping", "BeautifulSoup", "Scrapy", "crawler", "spider", "scraper", "parse HTML", "Selenium scraping", "data extraction".
Extracts figures and sub-figures from academic PDF papers. Supports Fig/Figure, Scheme, Chart, Supplementary Figure, Extended Data Figure (Nature), and Chinese equivalents (图/方案/示意图/附图/补充图). Sub-figure label recognition supports (a)/(A)/a)/(i)/(1)/a. formats. High-quality PNG output at configurable DPI. Use when user asks to "extract figure", "截取文献图片", "提取子图", "get figure from paper", "Scheme", "方案图", "补充图", "Supplementary Figure", or "Extended Data".
Extract text from images using OCR. Use when the user shares a screenshot and you need to read the text content, copy UI labels, or extract copy from a design mockup.
Image analysis and manipulation. Use when: user wants to analyze images, extract metadata, convert formats, resize, or get image information.