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    "title": "Image to Text OCR - Extract Text From Images & Screenshots",
    "description": "Extract the text from any list of image URLs: screenshots, scans, receipts, signs, slides. Returns the full text, a confidence score and word count per image, optionally every line with its position. 20 languages, long text split into agent-sized rows. Pay only for images with text.",
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              "https://raw.githubusercontent.com/naptha/tesseract.js/master/tests/assets/images/bill.png",
              "https://raw.githubusercontent.com/naptha/tesseract.js/master/tests/assets/images/cosmic.png",
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              "https://raw.githubusercontent.com/naptha/tesseract.js/master/tests/assets/images/simple.gif",
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              "type": "string"
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            "description": "The language(s) of the text, as Tesseract codes. English is built in and fastest; other languages load on first use. Pick more than one only for mixed-language documents — each extra language slows reading.",
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              "type": "string",
              "enum": [
                "eng",
                "spa",
                "fra",
                "deu",
                "ita",
                "por",
                "nld",
                "pol",
                "tur",
                "rus",
                "ukr",
                "ara",
                "hin",
                "tha",
                "vie",
                "ind",
                "jpn",
                "kor",
                "chi_sim",
                "chi_tra"
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                "Spanish",
                "French",
                "German",
                "Italian",
                "Portuguese",
                "Dutch",
                "Polish",
                "Turkish",
                "Russian",
                "Ukrainian",
                "Arabic",
                "Hindi",
                "Thai",
                "Vietnamese",
                "Indonesian",
                "Japanese",
                "Korean",
                "Chinese (Simplified)",
                "Chinese (Traditional)"
              ]
            },
            "default": [
              "eng"
            ]
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            "title": "Max text per row (bytes)",
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            "description": "Long text is split across several rows of at most this many bytes, at paragraph and line breaks, so each row fits an AI agent's context and drops straight into a RAG pipeline. The image is still charged once. 0 keeps each image whole in one row.",
            "default": 3000
          },
          "includeLines": {
            "title": "Include each line with its position",
            "type": "boolean",
            "description": "Off by default: one row per image with its full text. On: each row also lists every line with its confidence and bounding box (x, y, width, height in pixels) — useful for receipts, forms and highlighting.",
            "default": false
          }
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