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easyocr

Use EasyOCR to detect and recognize text in images, configure model and language selection, load custom recognition bundles, and troubleshoot DBNet setup.

The English summary is being prepared. Showing the original description.

See how to install

Files included (20)

  • SKILL.md2.9 KB
  • references/api-reference.md3.2 KB
  • references/cli-reference.md2.3 KB
  • references/configuration.md2.6 KB
  • references/repo-provenance.md980 B
  • references/repo-routing-metadata.json314 B
  • references/troubleshooting.md2.8 KB
  • scripts/inspect_runtime.py2.0 KB
  • sub-skills/custom-models/references/troubleshooting.md1.9 KB
  • sub-skills/custom-models/references/workflows.md1.9 KB
  • sub-skills/custom-models/scripts/check_bundle.py2.4 KB
  • sub-skills/custom-models/SKILL.md2.3 KB
  • sub-skills/dbnet/references/troubleshooting.md2.1 KB
  • sub-skills/dbnet/references/workflows.md2.2 KB
  • sub-skills/dbnet/scripts/compile_dcn.py2.5 KB
  • sub-skills/dbnet/SKILL.md2.1 KB
  • sub-skills/inference/references/troubleshooting.md2.3 KB
  • sub-skills/inference/references/workflows.md2.7 KB
  • sub-skills/inference/scripts/readtext_smoke.py2.1 KB
  • sub-skills/inference/SKILL.md2.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

EasyOCR

Use this skill when the task is about extracting text from images, screenshots, scans, or cropped regions with EasyOCR.

Start here

  1. Install EasyOCR together with a PyTorch build that matches your backend. For CPU-only use, a normal pip install easyocr is usually enough. For GPU runs, install the matching torch and torchvision wheels first.
  2. Run scripts/inspect_runtime.py to confirm the package imports and the backend choice without downloading model weights.
  3. Pick the right route:
    • sub-skills/inference/ for ordinary OCR API or CLI usage.
    • sub-skills/custom-models/ for custom recognition bundles or custom model directories.
    • sub-skills/dbnet/ for detect_network='dbnet18', DBNet import/init, or DCN compilation issues.

What this skill covers

  • easyocr.Reader initialization and the main OCR methods.
  • Language selection, model cache locations, download behavior, and backend fallback.
  • The EasyOCR CLI entry point.
  • Custom recognition model loading.
  • DBNet detector setup and DCN operator compilation.

What this skill does not cover

  • Training a new OCR model from scratch.
  • ONNX export helpers.
  • Maintainer-only language regeneration or release automation.

Quick import check

python -c "import easyocr; print(easyocr.__version__)"
python scripts/inspect_runtime.py --help

Route map

  • Read references/api-reference.md for public signatures and output shapes.
  • Read references/cli-reference.md for the CLI flag groups and parser caveats.
  • Read references/configuration.md for environment variables, cache paths, backend selection, and model selection rules.
  • Read references/troubleshooting.md for install, import, model-cache, and CLI/runtime quirks.
  • Read references/repo-provenance.md to check the source commit, package version, and refresh baseline.
  • Use sub-skills/inference/ for normal image OCR.
  • Use sub-skills/custom-models/ for custom recognition bundles.
  • Use sub-skills/dbnet/ for DBNet detector setup and DCN compilation.

Common user intents

  • "Read text from this image" -> sub-skills/inference/
  • "Use my own recognition model" -> sub-skills/custom-models/
  • "Enable DBNet" or "compile DCN" -> sub-skills/dbnet/
  • "EasyOCR import fails" -> references/troubleshooting.md

Notes for future agents

  • Prefer the bundled scripts and references in this skill tree.
  • Do not depend on the original repository checkout once the guidance has been distilled here.
  • Treat easyocr.Reader and the CLI as the stable public surface; keep lower- level implementation details in the sub-skill references.

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