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openapi.json
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openapi.json
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{
"openapi": "3.1.0",
"info": {
"title": "Unstructured Pipeline API",
"version": "0.0.1",
"summary": "Partition documents with the Unstructured library"
},
"servers": [
{
"url": "https://api.unstructured.io",
"description": "Hosted API",
"x-speakeasy-server-id": "prod"
},
{
"url": "http://localhost:8000",
"description": "Development server",
"x-speakeasy-server-id": "local"
}
],
"x-speakeasy-retries": {
"strategy": "backoff",
"backoff": {
"initialInterval": 500,
"maxInterval": 60000,
"maxElapsedTime": 900000,
"exponent": 1.5
},
"statusCodes": ["5xx"],
"retryConnectionErrors": true
},
"security":[
{
"ApiKeyAuth":[]
}
],
"tags": [
{
"name": "general"
}
],
"paths": {
"/general/v0/general": {
"post": {
"tags": ["general"],
"summary": "Pipeline 1",
"operationId": "partition",
"x-speakeasy-name-override": "partition",
"requestBody": {
"content": {
"multipart/form-data": {
"schema": {
"$ref": "#/components/schemas/partition_parameters"
}
}
}
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Elements"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
}
},
"components": {
"securitySchemes":{
"ApiKeyAuth":{
"type":"apiKey",
"name":"unstructured-api-key",
"in":"header",
"x-speakeasy-example": "YOUR_API_KEY"
}
},
"schemas": {
"Elements":{
"type": "array",
"items":{
"Element":{
"type":"object",
"properties": {
"type": {},
"element_id": {},
"metadata": {},
"text": {}
}
}
}
},
"partition_parameters": {
"properties": {
"files": {
"type": "string",
"format": "binary",
"description": "The file to extract",
"required": "true",
"example": {
"summary": "File to be partitioned",
"externalValue": "https://github.com/Unstructured-IO/unstructured/blob/98d3541909f64290b5efb65a226fc3ee8a7cc5ee/example-docs/layout-parser-paper.pdf"
}
},
"strategy": {
"type": "string",
"title": "Strategy",
"description": "The strategy to use for partitioning PDF/image. Options are fast, hi_res, auto. Default: auto",
"example": "hi_res"
},
"gz_uncompressed_content_type": {
"type": "string",
"title": "Uncompressed Content Type",
"description": "If file is gzipped, use this content type after unzipping",
"example": "application/pdf"
},
"output_format": {
"type": "string",
"title": "Output Format",
"description": "The format of the response. Supported formats are application/json and text/csv. Default: application/json.",
"example": "application/json"
},
"coordinates": {
"type": "boolean",
"title": "Coordinates",
"description": "If true, return coordinates for each element. Default: false"
},
"encoding": {
"type": "string",
"title": "Encoding",
"description": "The encoding method used to decode the text input. Default: utf-8",
"example": "utf-8"
},
"hi_res_model_name": {
"type": "string",
"title": "Hi Res Model Name",
"description": "The name of the inference model used when strategy is hi_res",
"example": "yolox"
},
"include_page_breaks": {
"type": "boolean",
"title": "Include Page Breaks",
"description": "If True, the output will include page breaks if the filetype supports it. Default: false"
},
"languages": {
"items": {
"type": "string",
"example": "eng"
},
"type": "array",
"title": "OCR Languages",
"default": [],
"description": "The languages present in the document, for use in partitioning and/or OCR",
"example": "[eng]"
},
"pdf_infer_table_structure": {
"type": "boolean",
"title": "Pdf Infer Table Structure",
"description": "If True and strategy=hi_res, any Table Elements extracted from a PDF will include an additional metadata field, 'text_as_html', where the value (string) is a just a transformation of the data into an HTML <table>."
},
"skip_infer_table_types": {
"items": {
"type": "string",
"example": "pdf"
},
"type": "array",
"title": "Skip Infer Table Types",
"description": "The document types that you want to skip table extraction with. Default: ['pdf', 'jpg', 'png']"
},
"xml_keep_tags": {
"type": "boolean",
"title": "Xml Keep Tags",
"description": "If True, will retain the XML tags in the output. Otherwise it will simply extract the text from within the tags. Only applies to partition_xml."
},
"chunking_strategy": {
"type": "string",
"title": "Chunking Strategy",
"description": "Use one of the supported strategies to chunk the returned elements. Currently supports: by_title",
"example": "by_title"
},
"multipage_sections": {
"type": "boolean",
"title": "Multipage Sections",
"description": "If chunking strategy is set, determines if sections can span multiple sections. Default: true"
},
"combine_under_n_chars": {
"type": "integer",
"title": "Combine Under N Chars",
"description": "If chunking strategy is set, combine elements until a section reaches a length of n chars. Default: 500",
"example": 500
},
"new_after_n_chars": {
"type": "integer",
"title": "New after n chars",
"description": "If chunking strategy is set, cut off new sections after reaching a length of n chars (soft max). Default: 1500",
"example": 1500
},
"max_characters": {
"type": "integer",
"title": "Max Characters",
"description": "If chunking strategy is set, cut off new sections after reaching a length of n chars (hard max). Default: 1500",
"example": 1500
},
"overlap": {
"type": "integer",
"title": "Intra-chunk overlap",
"description": "A prefix of this many trailing characters from prior text-split chunk is applied to second and later chunks formed from oversized elements by text-splitting. Default: None",
"example": 25
},
"overlap_all": {
"type": "bool",
"title": "Inter-chunk overlap",
"description": "When True, overlap is also applied to 'normal' chunks formed by combining whole elements. Use with caution as this can introduce noise into otherwise clean semantic units. Default: None",
"example": 1500
},
"extract_image_block_types": {
"items": {
"type": "string",
"example": "image"
},
"type": "array",
"title": "Image block types to extract",
"default": [],
"description": "The types of elements to extract, for use in extracting image blocks as base64 encoded data stored in metadata fields",
"example": ["image", "table"]
}
},
"type": "object",
"title": "Partition Parameters"
},
"HTTPValidationError": {
"properties": {
"detail": {
"items": {
"$ref": "#/components/schemas/ValidationError"
},
"type": "array",
"title": "Detail"
}
},
"type": "object",
"title": "HTTPValidationError"
},
"ValidationError": {
"properties": {
"loc": {
"items": {
"oneOf": [
{
"type": "string"
},
{
"type": "integer"
}
]
},
"type": "array",
"title": "Location"
},
"msg": {
"type": "string",
"title": "Message"
},
"type": {
"type": "string",
"title": "Error Type"
}
},
"type": "object",
"required": [
"loc",
"msg",
"type"
],
"title": "ValidationError"
}
}
}
}