Configuration applied to the parsing job (inline or resolved from a saved preset).
extraction_range?: string | null
A1 notation of the range to extract a single region from. If None, the entire sheet is used.
flatten_hierarchical_tables?: boolean
Return a flattened dataframe when a detected table is recognized as hierarchical.
generate_additional_metadata?: boolean
Whether to generate additional metadata (title, description) for each extracted region.
include_hidden_cells?: boolean
Whether to include hidden cells when extracting regions from the spreadsheet.
sheet_names?: Array<string> | null
The names of the sheets to extract regions from. If empty, all sheets will be processed.
specialization?: string | null
Optional specialization mode for domain-specific extraction. Supported values: ‘financial-standard’, ‘financial-enhanced’, ‘financial-precise’. Default None uses the general-purpose pipeline.
table_merge_sensitivity?: "strong" | "weak"
Influences how likely similar-looking regions are merged into a single table. Useful for spreadsheets that either have sparse tables (strong merging) or many distinct tables close together (weak merging).
One of the following:
"strong"
"weak"
use_experimental_processing?: boolean
Enables experimental processing. Accuracy may be impacted.
Configuration for spreadsheet parsing and region extraction
extraction_range?: string | null
A1 notation of the range to extract a single region from. If None, the entire sheet is used.
flatten_hierarchical_tables?: boolean
Return a flattened dataframe when a detected table is recognized as hierarchical.
generate_additional_metadata?: boolean
Whether to generate additional metadata (title, description) for each extracted region.
include_hidden_cells?: boolean
Whether to include hidden cells when extracting regions from the spreadsheet.
sheet_names?: Array<string> | null
The names of the sheets to extract regions from. If empty, all sheets will be processed.
specialization?: string | null
Optional specialization mode for domain-specific extraction. Supported values: ‘financial-standard’, ‘financial-enhanced’, ‘financial-precise’. Default None uses the general-purpose pipeline.
table_merge_sensitivity?: "strong" | "weak"
Influences how likely similar-looking regions are merged into a single table. Useful for spreadsheets that either have sparse tables (strong merging) or many distinct tables close together (weak merging).
One of the following:
"strong"
"weak"
use_experimental_processing?: boolean
Enables experimental processing. Accuracy may be impacted.
configuration_id?: string | null
The saved product configuration ID used at create time, if any.
Events to subscribe to (e.g. ‘parse.success’, ‘extract.error’). If null, all events are delivered.
One of the following:
"extract.pending"
"extract.success"
"extract.error"
"extract.partial_success"
"extract.cancelled"
"parse.pending"
"parse.running"
"parse.success"
"parse.error"
"parse.partial_success"
"parse.cancelled"
"classify.pending"
"classify.running"
"classify.success"
"classify.error"
"classify.partial_success"
"classify.cancelled"
"sheets.pending"
"sheets.success"
"sheets.error"
"sheets.partial_success"
"sheets.cancelled"
"split.pending"
"split.processing"
"split.success"
"split.error"
"split.cancelled"
"unmapped_event"
webhook_headers?: Record<string, string> | null
Custom HTTP headers sent with each webhook request (e.g. auth tokens)
webhook_output_format?: string | null
Response format sent to the webhook: ‘string’ (default) or ‘json’
webhook_signing_secret?: string | null
Shared signing secret used to sign webhook deliveries. When set, each request includes an HMAC-SHA256 signature of the request body in the ‘LC-Signature’ header (value ‘sha256=’). Recompute the HMAC over the raw request body with this secret to verify the delivery is authentic.
webhook_url?: string | null
URL to receive webhook POST notifications
regions?: Array<Region>
All extracted regions (populated when job is complete)
location: string
Location of the region in the spreadsheet
region_type: string
Type of the extracted region
sheet_name: string
Worksheet name where region was found
description?: string | null
Generated description for the region
region_id?: string
Unique identifier for this region within the file
title?: string | null
Generated title for the region
success?: boolean | null
Whether the job completed successfully
worksheet_metadata?: Array<WorksheetMetadata>
Metadata for each processed worksheet (populated when job is complete)
Configuration for spreadsheet parsing and region extraction
extraction_range?: string | null
A1 notation of the range to extract a single region from. If None, the entire sheet is used.
flatten_hierarchical_tables?: boolean
Return a flattened dataframe when a detected table is recognized as hierarchical.
generate_additional_metadata?: boolean
Whether to generate additional metadata (title, description) for each extracted region.
include_hidden_cells?: boolean
Whether to include hidden cells when extracting regions from the spreadsheet.
sheet_names?: Array<string> | null
The names of the sheets to extract regions from. If empty, all sheets will be processed.
specialization?: string | null
Optional specialization mode for domain-specific extraction. Supported values: ‘financial-standard’, ‘financial-enhanced’, ‘financial-precise’. Default None uses the general-purpose pipeline.
table_merge_sensitivity?: "strong" | "weak"
Influences how likely similar-looking regions are merged into a single table. Useful for spreadsheets that either have sparse tables (strong merging) or many distinct tables close together (weak merging).
One of the following:
"strong"
"weak"
use_experimental_processing?: boolean
Enables experimental processing. Accuracy may be impacted.
SheetDeleteJobResponse = unknown
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- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/