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Sheets

Create Spreadsheet Job
POST/api/v1/beta/sheets/jobs
List Spreadsheet Jobs
GET/api/v1/beta/sheets/jobs
Get Spreadsheet Job
GET/api/v1/beta/sheets/jobs/{spreadsheet_job_id}
Get Result Region
GET/api/v1/beta/sheets/jobs/{spreadsheet_job_id}/regions/{region_id}/result/{region_type}
Delete Spreadsheet Job
DELETE/api/v1/beta/sheets/jobs/{spreadsheet_job_id}
ModelsExpand Collapse
SheetsJob = object { id, configuration, created_at, 14 more }

A spreadsheet parsing job.

id: string

The ID of the job

configuration: SheetsParsingConfig { extraction_range, flatten_hierarchical_tables, generate_additional_metadata, 5 more }

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).

One of the following:
"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

formatuuid
project_id: string

The ID of the project

formatuuid
status: "PENDING" or "SUCCESS" or "ERROR" or 2 more

The status of the parsing job

One of the following:
"PENDING"
"SUCCESS"
"ERROR"
"PARTIAL_SUCCESS"
"CANCELLED"
updated_at: string

When the job was last updated

user_id: string

The ID of the user

Deprecatedconfig: optional SheetsParsingConfig { extraction_range, flatten_hierarchical_tables, generate_additional_metadata, 5 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).

One of the following:
"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.

errors: optional array of string

Any errors encountered

Deprecatedfile: optional File { id, name, project_id, 11 more }

Schema for a file.

id: string

Unique identifier

formatuuid
name: string
project_id: string

The ID of the project that the file belongs to

formatuuid
created_at: optional string

Creation datetime

formatdate-time
data_source_id: optional string

The ID of the data source that the file belongs to

formatuuid
expires_at: optional string

The expiration date for the file. Files past this date can be deleted.

formatdate-time
external_file_id: optional string

The ID of the file in the external system

file_size: optional number

Size of the file in bytes

minimum0
file_type: optional string

File type (e.g. pdf, docx, etc.)

maxLength3000
minLength1
last_modified_at: optional string

The last modified time of the file

formatdate-time
permission_info: optional map[map[unknown] or array of unknown or string or 2 more]

Permission information for the file

One of the following:
map[unknown]
array of unknown
string
number
boolean
purpose: optional string

The intended purpose of the file (e.g., ‘user_data’, ‘parse’, ‘extract’, ‘split’, ‘classify’)

resource_info: optional map[map[unknown] or array of unknown or string or 2 more]

Resource information for the file

One of the following:
map[unknown]
array of unknown
string
number
boolean
updated_at: optional string

Update datetime

formatdate-time
metadata_state_transitions: optional map[unknown]

Per-status entry timestamps. Returned only when requested via ?expand=metadata_state_transitions.

parameters: optional object { webhook_configurations }

Job-time parameters such as webhook configurations.

webhook_configurations: optional array of object { webhook_events, webhook_headers, webhook_output_format, webhook_url }

Webhook configurations for job status notifications.

webhook_events: optional array of "extract.pending" or "extract.success" or "extract.error" or 20 more

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"
"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_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)

sheet_name: string

Name of the worksheet

description: optional string

Generated description of the worksheet

title: optional string

Generated title for the worksheet

SheetsParsingConfig = object { extraction_range, flatten_hierarchical_tables, generate_additional_metadata, 5 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).

One of the following:
"strong"
"weak"
use_experimental_processing: optional boolean

Enables experimental processing. Accuracy may be impacted.

SheetDeleteJobResponse = unknown