# Outputs for real-time analysis
## Outputs for text inputs
If you input text using the `Text` parameter, the output consists of an array of entities that the analysis detected. The following example shows an analysis that detected two JUDGE entities.
```
{
"Entities":
[
{
"BeginOffset": 0,
"EndOffset": 22,
"Score": 0.9763959646224976,
"Text": "John Johnson",
"Type": "JUDGE"
},
{
"BeginOffset": 11,
"EndOffset": 15,
"Score": 0.9615424871444702,
"Text": "Thomas Kincaid",
"Type": "JUDGE"
}
]
}
```
## Outputs for semi-structured inputs
For a semi-structured input document, or a text file, the output can include the following additional fields:
+ DocumentMetadata – Extraction information about the document. The metadata includes a list of pages in the document, with the number of characters extracted from each page. This field is present in the response if the request included the `Byte` parameter.
+ DocumentType – The document type for each page in the input document. This field is present in the response for a request that included the `Byte` parameter.
+ Blocks – Information about each block of text in the input document. Blocks are nested. A page block contains a block for each line of text, which contains a block for each word. This field is present in the response for a request that included the `Byte` parameter.
+ BlockReferences – A reference to each block for this entity. This field is present in the response for a request that included the `Byte` parameter. The field is not present for text files.
+ Errors – Page-level errors that the system detected while processing the input document. The field is empty if the system encountered no errors.
For descriptions of these output fields, see [DetectEntities](https://docs.aws.amazon.com/comprehend/latest/APIReference/API_DetectEntities.html) in the *Amazon Comprehend API Reference*. For more information about the layout elements, see [Amazon Textract analysis objects](https://docs.aws.amazon.com/textract/latest/dg/how-it-works-document-layout.html) in the Amazon Textract Developer Guide.
The following example shows the output for a one-page scanned PDF input document.
```
{
"Entities": [{
"Score": 0.9984670877456665,
"Type": "DATE-TIME",
"Text": "September 4,",
"BlockReferences": [{
"BlockId": "42dcaaee-c484-4b5d-9e3f-ae0be928b3e1",
"BeginOffset": 0,
"EndOffset": 12,
"ChildBlocks": [{
"ChildBlockId": "6e9cbb43-f8be-4da0-9a4b-ff9a6c350a14",
"BeginOffset": 0,
"EndOffset": 9
},
{
"ChildBlockId": "599e0d53-ae9f-491b-a762-459b22c79ff5",
"BeginOffset": 0,
"EndOffset": 2
},
{
"ChildBlockId": "599e0d53-ae9f-491b-a762-459b22c79ff5",
"BeginOffset": 0,
"EndOffset": 2
}
]
}]
}],
"DocumentMetadata": {
"Pages": 1,
"ExtractedCharacters": [{
"Page": 1,
"Count": 609
}]
},
"DocumentType": [{
"Page": 1,
"Type": "SCANNED_PDF"
}],
"Blocks": [{
"Id": "ee82edf3-28de-4d63-8883-40e2e4938ccb",
"BlockType": "LINE",
"Text": "Your Band",
"Page": 1,
"Geometry": {
"BoundingBox": {
"Height": 0.024125460535287857,
"Left": 0.11745482683181763,
"Top": 0.06821706146001816,
"Width": 0.12074867635965347
},
"Polygon": [{
"X": 0.11745482683181763,
"Y": 0.06821706146001816
},
{
"X": 0.2382034957408905,
"Y": 0.06821706146001816
},
{
"X": 0.2382034957408905,
"Y": 0.09234252572059631
},
{
"X": 0.11745482683181763,
"Y": 0.09234252572059631
}
]
},
"Relationships": [{
"Ids": [
"b105c561-c8d9-485a-a728-7a5b1a308935",
"60ecb119-3173-4de2-8c5d-de182a5f86a5"
],
"Type": "CHILD"
}]
}]
}
```
The following example shows the output for analysis of a native PDF document.
**Example output from a custom entity recognition analysis of a PDF document**
```
{
"Blocks":
[
{
"BlockType": "LINE",
"Geometry":
{
"BoundingBox":
{
"Height": 0.012575757575757575,
"Left": 0.0,
"Top": 0.0015063131313131314,
"Width": 0.02262091503267974
},
"Polygon":
[
{
"X": 0.0,
"Y": 0.0015063131313131314
},
{
"X": 0.02262091503267974,
"Y": 0.0015063131313131314
},
{
"X": 0.02262091503267974,
"Y": 0.014082070707070706
},
{
"X": 0.0,
"Y": 0.014082070707070706
}
]
},
"Id": "4330efed-6334-4fc4-ba48-e050afa95c8d",
"Page": 1,
"Relationships":
[
{
"ids":
[
"f343ce48-583d-4abe-b84b-a232e266450f"
],
"type": "CHILD"
}
],
"Text": "S-3"
},
{
"BlockType": "WORD",
"Geometry":
{
"BoundingBox":
{
"Height": 0.012575757575757575,
"Left": 0.0,
"Top": 0.0015063131313131314,
"Width": 0.02262091503267974
},
"Polygon":
[
{
"X": 0.0,
"Y": 0.0015063131313131314
},
{
"X": 0.02262091503267974,
"Y": 0.0015063131313131314
},
{
"X": 0.02262091503267974,
"Y": 0.014082070707070706
},
{
"X": 0.0,
"Y": 0.014082070707070706
}
]
},
"Id": "f343ce48-583d-4abe-b84b-a232e266450f",
"Page": 1,
"Relationships":
[],
"Text": "S-3"
}
],
"DocumentMetadata":
{
"PageNumber": 1,
"Pages": 1
},
"DocumentType": "NativePDF",
"Entities":
[
{
"BlockReferences":
[
{
"BeginOffset": 25,
"BlockId": "4330efed-6334-4fc4-ba48-e050afa95c8d",
"ChildBlocks":
[
{
"BeginOffset": 1,
"ChildBlockId": "cbba5534-ac69-4bc4-beef-306c659f70a6",
"EndOffset": 6
}
],
"EndOffset": 30
}
],
"Score": 0.9998825926329088,
"Text": "0.001",
"Type": "OFFERING_PRICE"
},
{
"BlockReferences":
[
{
"BeginOffset": 41,
"BlockId": "f343ce48-583d-4abe-b84b-a232e266450f",
"ChildBlocks":
[
{
"BeginOffset": 0,
"ChildBlockId": "292a2e26-21f0-401b-a2bf-03aa4c47f787",
"EndOffset": 9
}
],
"EndOffset": 50
}
],
"Score": 0.9809727537330395,
"Text": "6,097,560",
"Type": "OFFERED_SHARES"
}
],
"File": "example.pdf",
"Version": "2021-04-30"
}
```