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Reducto Document Parse via PaySponge
x402
Reducto Document Parse via PaySponge is a paid API for AI agents from api.paysponge.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Parses documents (PDF, URLs, uploads) into structured chunks with content, embeddings, and optional AI enrichment via a pay-per-call x402 endpoint
Price / call$0.05
Success—
StatusUnknown
How this service works
Service: Reducto (https://api.paysponge.com/parse)
Output
Returns a ParseResponse containing a job_id, processing duration, page usage stats, and a result object with an array of chunks — each chunk has raw content, embed-optimized text, enriched content, and underlying block-level data. May also return OCR word/line data and custom extraction fields.
Example use cases
Example prompt
“Parse this PDF for me — https://example.com/report.pdf — and break it into chunks with embedding-ready text so I can load it into my vector database.”
Technical details
Endpoint
POSThttps://api.paysponge.com/x402/purchase/svc_d672d90ggvqqygj60/parseWhen to prefer
Use this endpoint when you need to parse PDFs or documents into AI-ready chunks with embedding text and optional table/figure enrichment, especially in RAG or document intelligence pipelines. Prefer this over raw OCR tools when you need structured, chunked output with embed fields. Use when you need to pay per-call without a subscription via x402/crypto.
Side effects
- Invalid or inaccessible document URL returns an error
- Document too large or page count exceeds quota
- Malformed input schema returns 422 validation error
- Payment not fulfilled returns 402 Payment Required
- Timeout on very large documents
- Agentic enrichment fails for complex tables/figures — enrichment_success will be false
Input
Schema · Request body
{
"oneOf": [
{
"type": "object",
"title": "SyncParseConfig",
"required": [
"input"
],
"properties": {
"input": {
"anyOf": [
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "object",
"title": "UploadResponse",
"required": [
"file_id"
],
"properties": {
"file_id": {
"type": "string",
"title": "File Id"
},
"presigned_url": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Presigned Url"
}
}
}
],
"title": "Input",
"description": "For parse/split/extract pipelines, the URL of the document to be processed. You can provide one of the following:\n 1. A publicly available URL\n 2. A presigned S3 URL\n 3. A reducto:// prefixed URL obtained from the /upload endpoint after directly uploading a document\n 4. A jobid:// prefixed URL obtained from a previous /parse invocation\n 5. A list of URLs (for multi-document pipelines, V3 API only)\n\n For edit pipelines, this should be a string containing the edit instructions"
},
"enhance": {
"type": "object",
"title": "Enhance",
"properties": {
"agentic": {
"type": "array",
"items": {
"anyOf": [
{
"type": "object",
"title": "TableAgentic",
"required": [
"scope"
],
"properties": {
"scope": {
"type": "string",
"const": "table",
"title": "Scope"
},
"prompt": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Prompt",
"description": "Custom prompt for table agentic."
}
}
},
{
"type": "object",
"title": "FigureAgentic",
"required": [
"scope"
],
"properties": {
"scope": {
"type": "string",
"const": "figure",
"title": "Scope"
},
"prompt": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Prompt",
"description": "Custom prompt for figure agentic."
},
"return_overlays": {
"type": "boolean",
"title": "Return Overlays",
"default": false,
"description": "If True, return overlays for the figure. This is so you can use the overlays to double check the quality of the extraction"
},
"advanced_chart_agent": {
"type": "boolean",
"title": "Advanced Chart Agent",
"default": false,
"description": "If True, use the advanced chart agent. Defaults to False."
}
}
},
{
"type": "object",
"title": "TextAgentic",
"required": [
"scope"
],
"properties": {
"scope": {
"type": "string",
"const": "text",
"title": "Scope"
},
"prompt": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Prompt",
"description": "Custom instructions for agentic text. Note: This only applies to form regions (key-value)."
}
}
}
]
},
"title": "Agentic",
"default": [],
"description": "Agentic uses vision language models to enhance the accuracy of the output of different types of extraction. This will incur a cost and latency increase."
},
"summarize_figures": {
"type": "boolean",
"title": "Summarize Figures",
"default": true,
"description": "If True, summarize figures using a small vision language model. Defaults to True."
},
"intelligent_ordering": {
"type": "boolean",
"title": "Intelligent Ordering",
"default": false,
"description": "If True, use an advanced vision language model to improve reading order accuracy, with a small increase in latency. Defaults to False."
}
}
},
"settings": {
"type": "object",
"title": "Settings",
"properties": {
"timeout": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "Timeout",
"description": "The timeout for the job in seconds."
},
"ocr_system": {
"enum": [
"standard",
"legacy"
],
"type": "string",
"title": "Ocr System",
"default": "standard",
"description": "Standard is our best multilingual OCR system. Legacy only supports germanic languages and is available for backwards compatibility."
},
"page_range": {
"anyOf": [
{
"type": "object",
"title": "PageRange",
"properties": {
"end": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "End",
"description": "The page number to stop processing at (1-indexed)."
},
"start": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Start",
"description": "The page number to start processing from (1-indexed)."
}
}
},
{
"type": "array",
"items": {
"type": "object",
"title": "PageRange",
"properties": {
"end": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "End",
"description": "The page number to stop processing at (1-indexed)."
},
"start": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Start",
"description": "The page number to start processing from (1-indexed)."
}
}
}
},
{
"type": "array",
"items": {
"type": "integer"
}
},
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"title": "Page Range",
"description": "The page range to process (1-indexed). By default, the entire document is processed. For spreadsheets, you can also provide a list of sheet names."
},
"return_images": {
"type": "array",
"items": {
"enum": [
"figure",
"table",
"page"
],
"type": "string"
},
"title": "Return Images",
"default": [],
"description": "Whether to return images for the specified block types. 'page' returns full page images. By default, no images are returned."
},
"extraction_mode": {
"enum": [
"ocr",
"hybrid"
],
"type": "string",
"title": "Extraction Mode",
"default": "hybrid",
"description": "The mode to use for text extraction from PDFs. OCR mode uses optical character recognition only. Hybrid mode combines OCR with embedded PDF text for best accuracy (default)."
},
"persist_results": {
"type": "boolean",
"title": "Persist Results",
"default": false,
"description": "If True, persist the results indefinitely. Defaults to False."
},
"return_ocr_data": {
"type": "boolean",
"title": "Return Ocr Data",
"default": false,
"description": "If True, return OCR data in the result. Defaults to False."
},
"force_url_result": {
"type": "boolean",
"title": "Force Url Result",
"default": false,
"description": "Force the result to be returned in URL form."
},
"document_password": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Document Password",
"description": "Password to decrypt password-protected documents."
},
"embed_pdf_metadata": {
"type": "boolean",
"title": "Embed Pdf Metadata",
"default": false,
"description": "If True, embed OCR metadata into the returned PDF. Defaults to False."
},
"force_file_extension": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Force File Extension",
"description": "Force the URL to be downloaded as a specific file extension (e.g. `.png`)."
}
}
},
"retrieval": {
"type": "object",
"title": "Retrieval",
"properties": {
"chunking": {
"type": "object",
"title": "Chunking",
"properties": {
"chunk_mode": {
"enum": [
"variable",
"section",
"page",
"disabled",
"block",
"page_sections"
],
"type": "string",
"title": "Chunk Mode",
"default": "disabled",
"description": "Choose how to partition chunks. Variable mode chunks by character length and visual context. Section mode chunks by section headers. Page mode chunks according to pages. Page sections mode chunks first by page, then by sections within each page. Disabled returns one single chunk."
},
"chunk_size": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Chunk Size",
"description": "The approximate size of chunks (in characters) that the document will be split into. Defaults to null, in which case the chunk size is variable between 250 - 1500 characters."
},
"chunk_overlap": {
"type": "integer",
"title": "Chunk Overlap",
"default": 0,
"description": "Number of characters of overlap to include from adjacent chunks. Defaults to 0."
}
}
},
"filter_blocks": {
"type": "array",
"items": {
"enum": [
"Header",
"Footer",
"Title",
"Section Header",
"Page Number",
"List Item",
"Figure",
"Table",
"Key Value",
"Text",
"Comment",
"Signature"
],
"type": "string"
},
"title": "Filter Blocks",
"default": [],
"description": "A list of block types to filter out from 'content' and 'embed' fields. By default, no blocks are filtered."
},
"embedding_optimized": {
"type": "boolean",
"title": "Embedding Optimized",
"default": false,
"description": "If True, use embedding optimized mode. Defaults to False."
}
}
},
"formatting": {
"type": "object",
"title": "Formatting",
"properties": {
"include": {
"type": "array",
"items": {
"enum": [
"change_tracking",
"highlight",
"comments",
"hyperlinks",
"signatures",
"ignore_watermarks"
],
"type": "string"
},
"title": "Include",
"default": [],
"description": "A list of formatting to include in the output."
},
"merge_tables": {
"type": "boolean",
"title": "Merge Tables",
"default": false,
"description": "A flag to indicate if consecutive tables with the same number of columns should be merged. Defaults to False."
},
"add_page_markers": {
"type": "boolean",
"title": "Add Page Markers",
"default": false,
"description": "If True, add page markers to the output. Defaults to False. Useful for extracting data with page specific information."
},
"table_output_format": {
"enum": [
"html",
"json",
"md",
"jsonbbox",
"dynamic",
"csv"
],
"type": "string",
"title": "Table Output Format",
"default": "dynamic",
"description": "The mode to use for table output. Defaults to dynamic, which returns md for simpler tables and html for more complex tables."
}
}
},
"spreadsheet": {
"type": "object",
"title": "Spreadsheet",
"properties": {
"exclude": {
"type": "array",
"items": {
"enum": [
"hidden_sheets",
"hidden_rows",
"hidden_cols",
"styling",
"spreadsheet_images"
],
"type": "string"
},
"title": "Exclude",
"default": [],
"description": "Whether to exclude hidden sheets, rows, or columns in the output."
},
"include": {
"type": "array",
"items": {
"enum": [
"cell_colors",
"formula",
"dropdowns"
],
"type": "string"
},
"title": "Include",
"default": [],
"description": "Whether to include cell color, formula, and dropdown information in the output."
},
"clustering": {
"enum": [
"accurate",
"fast",
"disabled"
],
"type": "string",
"title": "Clustering",
"default": "accurate",
"description": "In a spreadsheet with different tables inside, we enable splitting up the tables by default. Accurate mode applies more powerful models for superior accuracy, at 5× the default per-cell rate. Disabling will register as one large table."
},
"split_large_tables": {
"type": "object",
"title": "SplitLargeTables",
"properties": {
"size": {
"anyOf": [
{
"type": "integer"
},
{
"$ref": "#/components/schemas/SplitLargeTableSizes"
}
],
"title": "Size",
"default": 50,
"description": "The size of the tables to split into. Defaults to 50. Use 'row' and 'column' to independently specify the number of rows and columns to include when splitting. If you only want to split by rows or columns, set the other value to None."
},
"enabled": {
"type": "boolean",
"title": "Enabled",
"default": true,
"description": "If True, split large tables into smaller tables. Defaults to True."
}
}
}
}
}
}
},
{
"type": "object",
"title": "AsyncParseConfig",
"required": [
"input"
],
"properties": {
"async": {
"type": "object",
"title": "AsyncConfig",
"properties": {
"webhook": {
"anyOf": [
{
"type": "object",
"title": "SvixWebhookConfig",
"properties": {
"mode": {
"type": "string",
"const": "svix",
"title": "Mode",
"default": "svix"
},
"channels": {
"type": "array",
"items": {
"type": "string"
},
"title": "Channels",
"description": "A list of Svix channels the message will be delivered down, omit to send to all channels."
}
}
},
{
"type": "object",
"title": "DirectWebhookConfig",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "Url"
},
"mode": {
"type": "string",
"const": "direct",
"title": "Mode",
"default": "direct"
}
}
},
{
"type": "null"
}
],
"title": "Webhook",
"description": "The webhook configuration for the asynchronous processing."
},
"metadata": {
"title": "Metadata",
"description": "JSON metadata included in webhook request body. Defaults to None."
},
"priority": {
"type": "boolean",
"title": "Priority",
"default": false,
"description": "If True, attempts to process the job with priority if the user has priority processing budget available; by default, sync jobs are prioritized above async jobs."
}
}
},
"input": {
"anyOf": [
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "object",
"title": "UploadResponse",
"required": [
"file_id"
],
"properties": {
"file_id": {
"type": "string",
"title": "File Id"
},
"presigned_url": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Presigned Url"
}
}
}
],
"title": "Input",
"description": "For parse/split/extract pipelines, the URL of the document to be processed. You can provide one of the following:\n 1. A publicly available URL\n 2. A presigned S3 URL\n 3. A reducto:// prefixed URL obtained from the /upload endpoint after directly uploading a document\n 4. A jobid:// prefixed URL obtained from a previous /parse invocation\n 5. A list of URLs (for multi-document pipelines, V3 API only)\n\n For edit pipelines, this should be a string containing the edit instructions"
},
"enhance": {
"type": "object",
"title": "Enhance",
"properties": {
"agentic": {
"type": "array",
"items": {
"anyOf": [
{
"type": "object",
"title": "TableAgentic",
"required": [
"scope"
],
"properties": {
"scope": {
"type": "string",
"const": "table",
"title": "Scope"
},
"prompt": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Prompt",
"description": "Custom prompt for table agentic."
}
}
},
{
"type": "object",
"title": "FigureAgentic",
"required": [
"scope"
],
"properties": {
"scope": {
"type": "string",
"const": "figure",
"title": "Scope"
},
"prompt": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Prompt",
"description": "Custom prompt for figure agentic."
},
"return_overlays": {
"type": "boolean",
"title": "Return Overlays",
"default": false,
"description": "If True, return overlays for the figure. This is so you can use the overlays to double check the quality of the extraction"
},
"advanced_chart_agent": {
"type": "boolean",
"title": "Advanced Chart Agent",
"default": false,
"description": "If True, use the advanced chart agent. Defaults to False."
}
}
},
{
"type": "object",
"title": "TextAgentic",
"required": [
"scope"
],
"properties": {
"scope": {
"type": "string",
"const": "text",
"title": "Scope"
},
"prompt": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Prompt",
"description": "Custom instructions for agentic text. Note: This only applies to form regions (key-value)."
}
}
}
]
},
"title": "Agentic",
"default": [],
"description": "Agentic uses vision language models to enhance the accuracy of the output of different types of extraction. This will incur a cost and latency increase."
},
"summarize_figures": {
"type": "boolean",
"title": "Summarize Figures",
"default": true,
"description": "If True, summarize figures using a small vision language model. Defaults to True."
},
"intelligent_ordering": {
"type": "boolean",
"title": "Intelligent Ordering",
"default": false,
"description": "If True, use an advanced vision language model to improve reading order accuracy, with a small increase in latency. Defaults to False."
}
}
},
"settings": {
"type": "object",
"title": "Settings",
"properties": {
"timeout": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "Timeout",
"description": "The timeout for the job in seconds."
},
"ocr_system": {
"enum": [
"standard",
"legacy"
],
"type": "string",
"title": "Ocr System",
"default": "standard",
"description": "Standard is our best multilingual OCR system. Legacy only supports germanic languages and is available for backwards compatibility."
},
"page_range": {
"anyOf": [
{
"type": "object",
"title": "PageRange",
"properties": {
"end": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "End",
"description": "The page number to stop processing at (1-indexed)."
},
"start": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Start",
"description": "The page number to start processing from (1-indexed)."
}
}
},
{
"type": "array",
"items": {
"type": "object",
"title": "PageRange",
"properties": {
"end": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "End",
"description": "The page number to stop processing at (1-indexed)."
},
"start": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Start",
"description": "The page number to start processing from (1-indexed)."
}
}
}
},
{
"type": "array",
"items": {
"type": "integer"
}
},
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"title": "Page Range",
"description": "The page range to process (1-indexed). By default, the entire document is processed. For spreadsheets, you can also provide a list of sheet names."
},
"return_images": {
"type": "array",
"items": {
"enum": [
"figure",
"table",
"page"
],
"type": "string"
},
"title": "Return Images",
"default": [],
"description": "Whether to return images for the specified block types. 'page' returns full page images. By default, no images are returned."
},
"extraction_mode": {
"enum": [
"ocr",
"hybrid"
],
"type": "string",
"title": "Extraction Mode",
"default": "hybrid",
"description": "The mode to use for text extraction from PDFs. OCR mode uses optical character recognition only. Hybrid mode combines OCR with embedded PDF text for best accuracy (default)."
},
"persist_results": {
"type": "boolean",
"title": "Persist Results",
"default": false,
"description": "If True, persist the results indefinitely. Defaults to False."
},
"return_ocr_data": {
"type": "boolean",
"title": "Return Ocr Data",
"default": false,
"description": "If True, return OCR data in the result. Defaults to False."
},
"force_url_result": {
"type": "boolean",
"title": "Force Url Result",
"default": false,
"description": "Force the result to be returned in URL form."
},
"document_password": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Document Password",
"description": "Password to decrypt password-protected documents."
},
"embed_pdf_metadata": {
"type": "boolean",
"title": "Embed Pdf Metadata",
"default": false,
"description": "If True, embed OCR metadata into the returned PDF. Defaults to False."
},
"force_file_extension": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Force File Extension",
"description": "Force the URL to be downloaded as a specific file extension (e.g. `.png`)."
}
}
},
"retrieval": {
"type": "object",
"title": "Retrieval",
"properties": {
"chunking": {
"type": "object",
"title": "Chunking",
"properties": {
"chunk_mode": {
"enum": [
"variable",
"section",
"page",
"disabled",
"block",
"page_sections"
],
"type": "string",
"title": "Chunk Mode",
"default": "disabled",
"description": "Choose how to partition chunks. Variable mode chunks by character length and visual context. Section mode chunks by section headers. Page mode chunks according to pages. Page sections mode chunks first by page, then by sections within each page. Disabled returns one single chunk."
},
"chunk_size": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Chunk Size",
"description": "The approximate size of chunks (in characters) that the document will be split into. Defaults to null, in which case the chunk size is variable between 250 - 1500 characters."
},
"chunk_overlap": {
"type": "integer",
"title": "Chunk Overlap",
"default": 0,
"description": "Number of characters of overlap to include from adjacent chunks. Defaults to 0."
}
}
},
"filter_blocks": {
"type": "array",
"items": {
"enum": [
"Header",
"Footer",
"Title",
"Section Header",
"Page Number",
"List Item",
"Figure",
"Table",
"Key Value",
"Text",
"Comment",
"Signature"
],
"type": "string"
},
"title": "Filter Blocks",
"default": [],
"description": "A list of block types to filter out from 'content' and 'embed' fields. By default, no blocks are filtered."
},
"embedding_optimized": {
"type": "boolean",
"title": "Embedding Optimized",
"default": false,
"description": "If True, use embedding optimized mode. Defaults to False."
}
}
},
"formatting": {
"type": "object",
"title": "Formatting",
"properties": {
"include": {
"type": "array",
"items": {
"enum": [
"change_tracking",
"highlight",
"comments",
"hyperlinks",
"signatures",
"ignore_watermarks"
],
"type": "string"
},
"title": "Include",
"default": [],
"description": "A list of formatting to include in the output."
},
"merge_tables": {
"type": "boolean",
"title": "Merge Tables",
"default": false,
"description": "A flag to indicate if consecutive tables with the same number of columns should be merged. Defaults to False."
},
"add_page_markers": {
"type": "boolean",
"title": "Add Page Markers",
"default": false,
"description": "If True, add page markers to the output. Defaults to False. Useful for extracting data with page specific information."
},
"table_output_format": {
"enum": [
"html",
"json",
"md",
"jsonbbox",
"dynamic",
"csv"
],
"type": "string",
"title": "Table Output Format",
"default": "dynamic",
"description": "The mode to use for table output. Defaults to dynamic, which returns md for simpler tables and html for more complex tables."
}
}
},
"spreadsheet": {
"type": "object",
"title": "Spreadsheet",
"properties": {
"exclude": {
"type": "array",
"items": {
"enum": [
"hidden_sheets",
"hidden_rows",
"hidden_cols",
"styling",
"spreadsheet_images"
],
"type": "string"
},
"title": "Exclude",
"default": [],
"description": "Whether to exclude hidden sheets, rows, or columns in the output."
},
"include": {
"type": "array",
"items": {
"enum": [
"cell_colors",
"formula",
"dropdowns"
],
"type": "string"
},
"title": "Include",
"default": [],
"description": "Whether to include cell color, formula, and dropdown information in the output."
},
"clustering": {
"enum": [
"accurate",
"fast",
"disabled"
],
"type": "string",
"title": "Clustering",
"default": "accurate",
"description": "In a spreadsheet with different tables inside, we enable splitting up the tables by default. Accurate mode applies more powerful models for superior accuracy, at 5× the default per-cell rate. Disabling will register as one large table."
},
"split_large_tables": {
"type": "object",
"title": "SplitLargeTables",
"properties": {
"size": {
"anyOf": [
{
"type": "integer"
},
{
"$ref": "#/components/schemas/SplitLargeTableSizes"
}
],
"title": "Size",
"default": 50,
"description": "The size of the tables to split into. Defaults to 50. Use 'row' and 'column' to independently specify the number of rows and columns to include when splitting. If you only want to split by rows or columns, set the other value to None."
},
"enabled": {
"type": "boolean",
"title": "Enabled",
"default": true,
"description": "If True, split large tables into smaller tables. Defaults to True."
}
}
}
}
},
"queue_priority": {
"enum": [
"auto",
"batch"
],
"type": "string",
"title": "QueuePriority",
"description": "Customer-facing queue priority for parse jobs."
}
}
}
]
}Output
Schema · Response
{
"anyOf": [
{
"type": "object",
"title": "ParseResponse",
"required": [
"job_id",
"duration",
"usage",
"result"
],
"properties": {
"usage": {
"type": "object",
"title": "ParseUsage",
"required": [
"num_pages"
],
"properties": {
"credits": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "Credits"
},
"num_pages": {
"type": "integer",
"title": "Num Pages"
},
"credit_breakdown": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "number"
}
},
{
"type": "null"
}
],
"title": "Credit Breakdown"
}
}
},
"job_id": {
"type": "string",
"title": "Job Id"
},
"result": {
"anyOf": [
{
"type": "object",
"title": "FullResult",
"required": [
"type",
"chunks"
],
"properties": {
"ocr": {
"anyOf": [
{
"type": "object",
"title": "OCRResult",
"required": [
"words",
"lines"
],
"properties": {
"lines": {
"type": "array",
"items": {
"$ref": "#/components/schemas/OCRLine"
},
"title": "Lines"
},
"words": {
"type": "array",
"items": {
"$ref": "#/components/schemas/OCRWord"
},
"title": "Words"
}
}
},
{
"type": "null"
}
]
},
"type": {
"type": "string",
"const": "full",
"title": "Type",
"description": "type = 'full'"
},
"chunks": {
"type": "array",
"items": {
"type": "object",
"title": "ParseChunk",
"required": [
"content",
"embed",
"enriched",
"blocks"
],
"properties": {
"embed": {
"type": "string",
"title": "Embed",
"description": "Chunk content optimized for embedding and retrieval."
},
"blocks": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ParseBlock"
},
"title": "Blocks"
},
"content": {
"type": "string",
"title": "Content",
"description": "The content of the chunk extracted from the document."
},
"enriched": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Enriched",
"description": "The enriched content of the chunk extracted from the document."
},
"enrichment_success": {
"type": "boolean",
"title": "Enrichment Success",
"default": false,
"description": "Whether the enrichment was successful."
}
}
},
"title": "Chunks"
},
"custom": {
"anyOf": [
{},
{
"type": "null"
}
],
"title": "Custom"
}
}
},
{
"type": "object",
"title": "UrlResult",
"required": [
"type",
"url",
"result_id"
],
"properties": {
"url": {
"type": "string",
"title": "Url"
},
"type": {
"type": "string",
"const": "url",
"title": "Type",
"description": "type = 'url'"
},
"result_id": {
"type": "string",
"title": "Result Id"
}
}
}
],
"title": "Result",
"description": "The response from the document processing service. Note that there can be two types of responses, Full Result and URL Result. This is due to limitations on the max return size on HTTPS. If the response is too large, it will be returned as a presigned URL in the URL response. You should handle this in your application."
},
"pdf_url": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Pdf Url",
"description": "The storage URL of the converted PDF file."
},
"duration": {
"type": "number",
"title": "Duration",
"description": "The duration of the parse request in seconds."
},
"studio_link": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Studio Link",
"description": "The link to the studio pipeline for the document."
}
}
},
{
"type": "object",
"title": "AsyncParseResponse",
"required": [
"job_id"
],
"properties": {
"job_id": {
"type": "string",
"title": "Job Id"
}
}
}
],
"title": "Response Parse Parse Post"
}Tags
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