Configuration applied to the parsing job (inline or resolved from a saved preset).
extraction_range: optional string
A1 notation of the range to extract a single region from. If None, the entire sheet is used.
flatten_hierarchical_tables: optional boolean
Return a flattened dataframe when a detected table is recognized as hierarchical.
generate_additional_metadata: optional boolean
Whether to generate additional metadata (title, description) for each extracted region.
include_hidden_cells: optional boolean
Whether to include hidden cells when extracting regions from the spreadsheet.
sheet_names: optional array of string
The names of the sheets to extract regions from. If empty, all sheets will be processed.
specialization: optional string
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: optional "strong" or "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).
"strong"
"weak"
use_experimental_processing: optional boolean
Enables experimental processing. Accuracy may be impacted.
created_at: string
When the job was created
file_id: string
The ID of the input file
project_id: string
The ID of the project
status: "PENDING" or "SUCCESS" or "ERROR" or 2 more
Configuration for spreadsheet parsing and region extraction
extraction_range: optional string
A1 notation of the range to extract a single region from. If None, the entire sheet is used.
flatten_hierarchical_tables: optional boolean
Return a flattened dataframe when a detected table is recognized as hierarchical.
generate_additional_metadata: optional boolean
Whether to generate additional metadata (title, description) for each extracted region.
include_hidden_cells: optional boolean
Whether to include hidden cells when extracting regions from the spreadsheet.
sheet_names: optional array of string
The names of the sheets to extract regions from. If empty, all sheets will be processed.
specialization: optional string
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: optional "strong" or "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).
"strong"
"weak"
use_experimental_processing: optional boolean
Enables experimental processing. Accuracy may be impacted.
configuration_id: optional string
The saved product configuration ID used at create time, if any.
Job-time parameters such as webhook configurations.
webhook_configurations: optional array of object {webhook_events, webhook_headers, webhook_output_format, 2 more}
Webhook configurations for job status notifications.
webhook_events: optional array of "extract.pending" or "extract.success" or "extract.error" or 25 more
Events to subscribe to (e.g. ‘parse.success’, ‘extract.error’). If null, all events are delivered.
"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: optional map[string]
Custom HTTP headers sent with each webhook request (e.g. auth tokens)
webhook_output_format: optional string
Response format sent to the webhook: ‘string’ (default) or ‘json’
webhook_signing_secret: optional string
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: optional string
URL to receive webhook POST notifications
regions: optional array of object {location, region_type, sheet_name, 3 more}
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: optional string
Generated description for the region
region_id: optional string
Unique identifier for this region within the file
title: optional string
Generated title for the region
success: optional boolean
Whether the job completed successfully
worksheet_metadata: optional array of object {sheet_name, description, title}
Metadata for each processed worksheet (populated when job is complete)
Configuration for spreadsheet parsing and region extraction
extraction_range: optional string
A1 notation of the range to extract a single region from. If None, the entire sheet is used.
flatten_hierarchical_tables: optional boolean
Return a flattened dataframe when a detected table is recognized as hierarchical.
generate_additional_metadata: optional boolean
Whether to generate additional metadata (title, description) for each extracted region.
include_hidden_cells: optional boolean
Whether to include hidden cells when extracting regions from the spreadsheet.
sheet_names: optional array of string
The names of the sheets to extract regions from. If empty, all sheets will be processed.
specialization: optional string
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: optional "strong" or "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).
"strong"
"weak"
use_experimental_processing: optional boolean
Enables experimental processing. Accuracy may be impacted.
Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- 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/
