Output Structure

The default output format of Aryn DocParse is JSON.

{ "status": in-progress updates,
  "error": any errors encountered,
  "elements": a list of elements }

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Element Format

It is often useful to process different parts of a document separately. For example, you might want to process tables differently than text paragraphs, and typically small chunks of text are embedded separately for vector search. In Aryn DocParse, these chunks are called elements.

Elements follow the following format:

{"type": type of element,
"bbox": Coordinates of bounding box around element,
"properties": { "score": confidence score,
                "page_number": page number element occurs on},
"text_representation: for elements with associated text,
"binary_representation: for Image elements when extract_table_structure is enabled }

An example element is given below:

{
    "type": "Text",
    "bbox": [
      0.10383546717026654,
      0.31373721036044033,
      0.8960905187270221,
      0.39873851429332385
    ],
    "properties": {
      "score": 0.9369918704032898,
      "page_number": 1
    },
    "text_representation": "It is often useful to process different parts of a document separately. For example you\nmight want to process tables differently than text paragraphs, and typically small chunks\nof text are embedded separately for vector search. In Aryn DocParse, these\nchunks are called elements.\n"
}

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Element Type

"type": one of the element types below

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Bounding Box

"bbox": coordinates of the bounding box around the element contents

Takes the format [x1, y1, x2, y2] where each coordinate is given as the proportion of how far down or across the screen the element is. For instance, an element that is 100 pixels from the left border of a document 400 pixels wide would have an x1 coordinate of 0.25.

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Properties

"properties":
    { "score": confidence (between 0 and 1, with 1 being the most confident 
                that this element type and bounding box coordinates are correct.),
      "page_number": 1-indexed page number the element occurs on }

The score is the model’s “confidence” in its prediction for that particular bounding box. By default, we automatically select bounding boxes to achieve good coverage with high prediction accuracy, but the user can control this by using the threshold parameter (defaults to “auto”). If the user specifies a numeric value between 0 and 1, only Elements with a confidence score higher than the specified threshold value will be kept.

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Text Representation

"text_representation": text associated with this element

Text elements contain \n when the text includes a line return.

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Binary Representation

When extract_images is set to True, Images include a binary_representation tag which contains a base64 encoded ppm image file of the pdf cropped to the bounds of the detected image. When extract_images is false, the bounding box of the Image is still returned.

"binary_representation": base64 encoded ppm image file of the pdf cropped to the image

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Markdown Format

If the request to Aryn DocParse has the output_format option set to markdown, a successful response will look like this:

{ "status": ...,
  "markdown": "# Title\ndolorem ipsum, quia dolor sit amet consectetur..." }