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image-ocr

combined

Extract text from images with Tesseract OCR; use it when you need to recognize text from PNG/JPEG/TIFF/BMP images, select a language model, or run OCR via natural-language requests (e.g., "Interpret the image at C:\path\image.png"). Extract text content from images using Tesseract OCR via Python

When to use

• You need to extract text from an image file (PNG/JPEG/TIFF/BMP) for downstream processing or review.
• You want to run OCR with a specific Tesseract language model (e.g., `eng`, `chi_sim`).
• You prefer providing a natural-language request that contains an image path (e.g., "Interpret the image at ...") instead of manually setting `image_path`.
• You need a quick local OCR verification workflow from the command line.
• You want a simple JSON-configured OCR runner that can be integrated into scripts or automation.
• This skill enables accurate text extraction from image files (JPG, PNG, etc.) using Tesseract OCR via the `pytesseract` Python library. It is suitable for scanned documents, screenshots, photos of text, receipts, forms, and other visual co…
• Extracting text from scanned documents or photos
• Reading text from screenshots or image captures

When not to use

• Do not use this skill when the required source data, identifiers, files, or credentials are missing.
• Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
• Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.
• Tesseract works best with printed text; handwriting recognition is limited
• Accuracy decreases with decorative fonts, artistic text, or extreme stylization
• Mathematical equations and special notation may not extract accurately
• Redacted or watermarked text cannot be recovered
• Severe image degradation (blur, noise, low resolution) reduces accuracy

Skill page

Conflict

Both copies describe Tesseract OCR via pytesseract, but they are materially different procedures. The benchflow copy is a Python-centric skill that defines a strict JSON output schema, confidence thresholds, and batch-processing code. The aipoch copy is a config-driven runner that uses a JSON config file, supports natural-language path extraction, and emphasizes system-level Tesseract installation and language model selection. Neither is a reproduction of the other; crowning one would hide the config-driven workflow and the strict JSON schema respectively.