The following information applies to the legacy Unstructured Partition Endpoint.Unstructured recommends that you use the
local-file processing jobs functionality in the
Unstructured Pipeline API instead. Unstructured’s local-file processing jobs provide
many benefits over the legacy Unstructured Partition Endpoint, including support for:
- Production-level usage.
- Multiple local input files in batches.
- The latest and highest-performing models.
- Post-transform enrichments.
- All of Unstructured’s chunking strategies.
- The generation of vector embeddings.
files - the file you wish to process.
| POST, Python | JavaScript/TypeScript | Description |
|---|---|---|
files (shared.Files) | files (File, Blob, shared.Files) | The file to process. |
chunking_strategy (str) | chunkingStrategy (string) | Use one of the supported strategies to chunk the returned elements after partitioning. When no chunking strategy is specified, no chunking is performed and any other chunking parameters provided are ignored. Supported strategies: basic, by_title, by_page, and by_similarity. Learn more. |
content_type (str) | contentType (string) | A hint to Unstructured about the content type to use (such as text/markdown), when there are problems processing a specific file. This value is a MIME type in the format type/subtype. For available MIME types, see model.py. |
coordinates (bool) | coordinates (boolean) | True to return bounding box coordinates for each element extracted with OCR. Default: false. Learn more. |
encoding (str) | encoding (string) | The encoding method used to decode the text input. Default: utf-8. |
extract_image_block_types (List[str]) | extractImageBlockTypes (string[]) | The types of elements to extract, for use in extracting image blocks as Base64 encoded data stored in element metadata fields, for example: ["Image","Table"]. Supported filetypes are image and PDF. Learn more. |
gz_uncompressed_content_type (str) | gzUncompressedContentType (string) | If file is gzipped, use this content type after unzipping. Example: application/pdf |
hi_res_model_name (str) | hiResModelName (string) | DEPRECATED. The name of the object detection model used when strategy is hi_res. Normally, you don’t need to specify this, you’ll get the best object detection model by default. Learn more. |
include_page_breaks (bool) | includePageBreaks (boolean) | True for the output to include page breaks if the filetype supports it. Default: false. |
languages (List[str]) | languages (string[]) | The languages present in the document, for use in partitioning and OCR. View the list of available languages. Learn more. |
output_format (str) | outputFormat (string) | The format of the response. Supported formats are application/json and text/csv. Default: application/json. |
pdf_infer_table_structure (bool) | pdfInferTableStructure (boolean) | Deprecated! Use skip_infer_table_types instead. If true and strategy is 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 (List[str]) | skipInferTableTypes (string[]) | The document types that you want to skip table extraction for. Default: []. |
starting_page_number (int) | startingPageNumber (number) | The page number to be be assigned to the first page in the document. This information will be included in elements’ metadata and can be be especially useful when partitioning a document that is part of a larger document. |
strategy (str) | strategy (string) | The strategy to use for partitioning PDF and image files. Options are auto, vlm, hi_res, fast, and ocr_only. Default: auto. Learn more. |
unique_element_ids (bool) | uniqueElementIds (boolean) | True to assign UUIDs to element IDs, which guarantees their uniqueness (useful when using them as primary keys in database). Otherwise a SHA-256 of the element’s text is used. Default: false. |
vlm_model (str) | (Not yet available) | Applies only when strategy is vlm. The name of the vision language model (VLM) provider to use for partitioning. vlm_model_provider must also be specified. For a list of allowed values, see the end of this article. |
vlm_model_provider (str) | (Not yet available) | Applies only when strategy is vlm. The name of the vision language model (VLM) to use for partitioning. vlm_model must also be specified. For a list of allowed values, see the end of this article. |
xml_keep_tags (bool) | xmlKeepTags (boolean) | True to retain the XML tags in the output. Otherwise it will just extract the text from within the tags. Only applies to XML documents. |
| POST, Python | JavaScript/TypeScript | Description |
|---|---|---|
combine_under_n_chars (int) | combineUnderNChars (number) | Applies only when the chunking strategy is set to by_title. Use this parameter to combines small chunks until the combined chunk reaches a length of n characters. This can mitigate the appearance of small chunks created by short paragraphs, not intended as section headings, being identified as Title elements in certain documents. Default: the same value as max_characters. |
include_orig_elements (bool) | includeOrigElements (boolean) | True (the default) to have the elements that are used to form a chunk appear in .metadata.orig_elements for that chunk. |
max_characters (int) | maxCharacters (number) | Cut off new sections after reaching a length of n characters. (This is a hard maximum.) Default: 500. |
multipage_sections (bool) | multipageSections (boolean) | Applies only when the chunking strategy is set to by_title. Determines if a chunk can include elements from more than one page. Default: true. |
new_after_n_chars (int) | newAfterNChars (number) | Applies only when the chunking strategy is specified. Cuts off new sections after reaching a length of n characters. (This is a soft maximum.) Default: 1500. |
overlap (int) | overlap (number) | 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. |
overlap_all (bool) | overlapAll (boolean) | True to have an overlap 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. |
similarity_threshold (float) | similarityThreshold (number) | Applies only when the chunking strategy is set to by_similarity. The minimum similarity text in consecutive elements must have to be included in the same chunk. Must be between 0.0 and 1.0, exclusive (0.01 to 0.99, inclusive). Default: 0.5. |
| POST, Python | JavaScript/TypeScript | Description |
|---|---|---|
split_pdf_page (bool) | splitPdfPage (boolean) | True to split the PDF file client-side. Learn more. |
split_pdf_allow_failed (bool) | splitPdfAllowFailed (boolean) | When true, a failed split request will not stop the processing of the rest of the document. The affected page range will be ignored in the results. When false, a failed split request will cause the entire document to fail. Default: false. |
split_pdf_concurrency_level (int) | splitPdfConcurrencyLevel (number) | The number of split files to be sent concurrently. Default: 5. Maximum: 15. |
split_pdf_page_range (List[int]) | splitPdfPageRange (number[]) | A list of 2 integers within the range [1, length_of_pdf]. When pdf splitting is enabled, this will send only the specified page range to the API. |
vlm_model_provider and vlm_model pairs include the following:
The following models are no longer available as of the following dates:
- For
anthropic,claude-3-5-sonnet-20241022: October 22, 2025 - For
bedrock,us.anthropic.claude-3-5-sonnet-20241022-v2:0: October 22, 2025
- For new workflows, do not use any of these models.
- For any workflow that uses any of these models, update that workflow as soon as possible to use a different model.
vlm_model_provider | vlm_model |
|---|---|
anthropic | claude-sonnet-4-20250514 |
bedrock | us.amazon.nova-lite-v1:0 |
bedrock | us.amazon.nova-pro-v1:0 |
bedrock | us.anthropic.claude-3-haiku-20240307-v1:0 |
bedrock | us.anthropic.claude-3-opus-20240229-v1:0 |
bedrock | us.anthropic.claude-3-sonnet-20240229-v1:0 |
bedrock | us.anthropic.claude-sonnet-4-20250514-v1:0 |
bedrock | us.meta.llama3-2-11b-instruct-v1:0 |
bedrock | us.meta.llama3-2-90b-instruct-v1:0 |
openai | gpt-4o |
openai | gpt-5-mini-2025-08-07 |
vertexai | gemini-2.0-flash-001 |