{
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  "info": {
    "title": "Document Extractor: PDF, Word & Image to Markdown (OCR)",
    "description": "Document extractor that converts PDF, DOCX and image files into clean text, Markdown or tables, with OCR for scanned pages. One row per document, paid per page processed. Ideal for RAG pipelines and AI agents.",
    "version": "0.0",
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  "servers": [
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    },
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  "components": {
    "schemas": {
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        "type": "object",
        "required": [
          "urls"
        ],
        "properties": {
          "urls": {
            "title": "Document URLs",
            "type": "array",
            "description": "Absolute http(s) URLs of PDF, DOCX or image files (PNG, JPEG, TIFF, BMP, GIF, WebP). The Actor returns one dataset row per URL, in the same order. A file that fails gets a row with an error and does not stop the run.",
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              "type": "string"
            }
          },
          "outputMode": {
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            "enum": [
              "markdown",
              "text",
              "tables"
            ],
            "type": "string",
            "description": "What to return for each document. 'markdown': Markdown with headings, lists and tables, best for LLMs and RAG. 'text': plain text. 'tables': only the tables found, as rows of cells. Tables are returned in every mode.",
            "default": "markdown"
          },
          "maxPagesPerDocument": {
            "title": "Max pages per document",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
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          },
          "ocrLanguages": {
            "title": "OCR languages",
            "type": "array",
            "description": "Languages of the text in scanned pages and images, used by OCR. Pick every language present in the documents.",
            "items": {
              "type": "string",
              "enum": [
                "eng",
                "spa"
              ],
              "enumTitles": [
                "English",
                "Spanish"
              ]
            },
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            ]
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                "format": "date-time",
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              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
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                "properties": {
                  "inputBodyLen": {
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                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
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              },
              "buildId": {
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              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
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              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
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                  },
                  "DATASET_READS": {
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