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openapi.yaml
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openapi.yaml
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openapi: 3.0.3
info:
summary: Partition documents with the Unstructured library
title: Unstructured Pipeline API
description: >-
At Unstructured, we're on a mission to give organizations access to all of
their data. We know the world runs on documents—from research reports and
memos, to quarterly filings and plans of action, documents are the unit of
information that companies depend on. And yet, 80% of this information is
trapped in inaccessible formats, and businesses have long struggled to
unlock this data, leading to information silos, inefficient decision-making,
and repetitive work. Until now.
Unstructured captures this unstructured data wherever it lives and
transforms it into AI-friendly JSON files for companies who are eager to
fold AI into their business.
version: 0.0.1
servers:
- description: Hosted API
url: https://api.unstructured.io
x-speakeasy-server-id: prod
- description: Development server
url: http://localhost:8000
x-speakeasy-server-id: local
tags:
- name: general
paths:
/general/v0/general:
post:
tags:
- general
summary: Pipeline 1
operationId: General_createPipeline
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'
x-speakeasy-name-override: partition
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:
title: Partition Parameters
properties:
files:
description: The file to extract
type: string
format: binary
required: 'true'
example:
summary: File to be partitioned
externalValue: >-
https://github.com/Unstructured-IO/unstructured/blob/98d3541909f64290b5efb65a226fc3ee8a7cc5ee/example-docs/layout-parser-paper.pdf
strategy:
title: Strategy
description: >-
The strategy to use for partitioning PDF/image. Options are fast,
hi_res, auto. Default: auto
type: string
example: hi_res
gz_uncompressed_content_type:
title: Uncompressed Content Type
description: If file is gzipped, use this content type after unzipping
type: string
example: application/pdf
output_format:
title: Output Format
description: >-
The format of the response. Supported formats are application/json
and text/csv. Default: application/json.
type: string
example: application/json
coordinates:
title: Coordinates
description: 'If true, return coordinates for each element. Default: false'
type: boolean
encoding:
title: Encoding
description: 'The encoding method used to decode the text input. Default: utf-8'
type: string
example: utf-8
hi_res_model_name:
title: Hi Res Model Name
description: The name of the inference model used when strategy is hi_res
type: string
example: yolox
include_page_breaks:
title: Include Page Breaks
description: >-
If True, the output will include page breaks if the filetype
supports it. Default: false
type: boolean
languages:
title: OCR Languages
description: >-
The languages present in the document, for use in partitioning
and/or OCR
items:
type: string
example: eng
type: array
default: []
example: '[eng]'
pdf_infer_table_structure:
title: Pdf Infer Table Structure
description: >-
Deprecated! Use skip_infer_table_types to opt out of table
extraction for any file type. If False and strategy=hi_res, no Table
Elements will be extracted from pdf files regardless of
skip_infer_table_types contents.
type: boolean
skip_infer_table_types:
title: Skip Infer Table Types
description: >-
The document types that you want to skip table extraction with.
Default: []
items:
type: string
example: pdf
type: array
xml_keep_tags:
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.
type: boolean
chunking_strategy:
title: Chunking Strategy
description: >-
Use one of the supported strategies to chunk the returned elements.
Currently supports: by_title
type: string
example: by_title
combine_under_n_chars:
title: Combine Under N Chars
description: >-
If chunking strategy is set, combine elements until a section
reaches a length of n chars. Default: max_characters
type: integer
example: 500
include_orig_elements:
title: Original-elements flag
description: >-
When True (the default), the elements used to form a chunk appear in
`.metadata.orig_elements` for that chunk. Only applies when chunking
is specified using the `chunking_strategy` argument.
type: boolean
max_characters:
title: Max Characters
description: >-
If chunking strategy is set, cut off new sections after reaching a
length of n chars (hard max). Default: 500
type: integer
example: 1500
multipage_sections:
title: Multipage Sections
description: >-
If chunking strategy is set, determines if sections can span
multiple pages. Only applies to by_title chunking strategy.Default:
true
type: boolean
new_after_n_chars:
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: max_characters (off)
type: integer
example: 1500
overlap:
title: Intra-chunk overlap
description: >-
A prefix of this many trailing characters from the prior text-split
chunk is applied to second and later chunks formed from oversized
elements by text-splitting. Default: None
type: integer
example: 25
overlap_all:
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
type: boolean
extract_image_block_types:
title: Image block types to extract
description: >-
The types of elements to extract, for use in extracting image blocks
as base64 encoded data stored in metadata fields
items:
type: string
example: image
type: array
default: []
example:
- image
- table
unique_element_ids:
title: Unique element IDs
description: >-
When True, assign UUIDs to element IDs, which guarantees their
uniqueness (useful when using them as primary keys in database).
Otherwise a SHA-256 of element text is used. Default: False
type: boolean
type: object
HTTPValidationError:
title: HTTPValidationError
properties:
detail:
title: Detail
items:
$ref: '#/components/schemas/ValidationError'
type: array
type: object
ValidationError:
title: ValidationError
properties:
loc:
title: Location
items:
oneOf:
- type: string
- type: integer
type: array
msg:
title: Message
type: string
type:
title: Error Type
type: string
type: object
required:
- loc
- msg
- type
security:
- ApiKeyAuth: []
x-speakeasy-retries:
strategy: backoff
backoff:
initialInterval: 500
maxInterval: 60000
maxElapsedTime: 900000
exponent: 1.5
statusCodes:
- 5xx
retryConnectionErrors: true