Align and center a target word across images using OCR.
npx skills add https://github.com/CodingWithLewis/TextFocus --skill textfocus
Please help me install this Agent Skill. Skill: textfocus Source: https://github.com/CodingWithLewis/TextFocus/tree/main Command: npx skills add https://github.com/CodingWithLewis/TextFocus --skill textfocus
Align and center a target word across multiple images using OCR to produce consistent, documentary-style word-focused frames.
Run quick-cuts on your image set with -w "<target_word>" to center and normalize the target word across all frames.
High-intent search queries and answers about installing and using this skill.
To center a word across video frames using OCR, you run a batch-processing command that detects the target keyword in each image and re-aligns the crop so the word remains perfectly centered and uniformly scaled throughout the sequence.
Yes, you can batch-crop and normalize images for a documentary-style sequence without manual editing by using automated OCR detection, which locks the target word into the center and applies consistent dimensions across all frames.
The best way to keep a keyword centered across screenshots for After Effects is to process the image set with OCR-based alignment, generating frames with configurable size, uniform word height, and transparent or solid backgrounds.
Yes, you need Tesseract OCR and Python 3.8+ installed in your environment, as the system validates these prerequisites to perform automated text detection and batch image alignment.
When aligning words across frames for Premiere, the supported background options include dominant color, white, black, and transparent, ensuring consistent dimensions suitable for video editing workflows.
Parallel processing for batch-cropping video frames works by running the OCR alignment task concurrently across multiple images, allowing large sets of screenshots to be processed efficiently without manual intervention.
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