Loading…
Use when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.
xberg-extracting-with-ocr is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. <!-- AI-RULEZ :: GENERATED FILE — DO NOT EDIT Content-Hash: blake3:b1718303d659167ff376b4e1d4baf546d3e74f8f0804698a3486c0a1d2e6c913 Source-Hash: blake3:dbaab95a. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding xberg-extracting-with-ocr to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install xberg-io/xbergReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
<!-- AI-RULEZ :: GENERATED FILE — DO NOT EDIT Content-Hash: blake3:b1718303d659167ff376b4e1d4baf546d3e74f8f0804698a3486c0a1d2e6c913 Source-Hash: blake3:dbaab95ae525c5e4a221b5552123