## Create Extract Job

`ExtractV2Job extract().create(ExtractCreateParamsparams, RequestOptionsrequestOptions = RequestOptions.none())`

**post** `/api/v2/extract`

Create an extraction job.

Extracts structured data from a document using either a saved
configuration or an inline JSON Schema.

## Input

Provide exactly one of:

- `configuration_id` — reference a saved extraction config
- `configuration` — inline configuration with a `data_schema`

## Document input

Set `file_input` to a file ID (`dfl-...`) or a
completed parse job ID (`pjb-...`).

The job runs asynchronously. Poll `GET /extract/{job_id}` or
register a webhook to monitor completion.

### Parameters

- `ExtractCreateParams params`

  - `Optional<String> organizationId`

  - `Optional<String> projectId`

  - `ExtractV2JobCreate extractV2JobCreate`

    Request to create an extraction job. Provide configuration_id or inline configuration.

### Returns

- `class ExtractV2Job:`

  An extraction job.

  - `String id`

    Unique job identifier (job_id)

  - `LocalDateTime createdAt`

    Creation timestamp

  - `String fileInput`

    File ID or parse job ID that was extracted

  - `String projectId`

    Project this job belongs to

  - `String status`

    Current job status.

    - `PENDING` — queued, not yet started
    - `RUNNING` — actively processing
    - `COMPLETED` — finished successfully
    - `FAILED` — terminated with an error
    - `CANCELLED` — cancelled by user

  - `LocalDateTime updatedAt`

    Last update timestamp

  - `Optional<ExtractConfiguration> configuration`

    Extract configuration combining parse and extract settings.

    - `DataSchema dataSchema`

      JSON Schema defining the fields to extract. Validate with the /schema/validate endpoint first.

      - `class UnionMember0:`

      - `List<JsonValue>`

      - `String`

      - `double`

      - `boolean`

    - `Optional<Boolean> citeSources`

      Include citations in results

    - `Optional<Boolean> confidenceScores`

      Include confidence scores in results

    - `Optional<ExtractionTarget> extractionTarget`

      Granularity of extraction: per_doc returns one object per document, per_page returns one object per page, per_table_row returns one object per table row

      - `PER_DOC("per_doc")`

      - `PER_PAGE("per_page")`

      - `PER_TABLE_ROW("per_table_row")`

    - `Optional<Long> maxPages`

      Maximum number of pages to process. Omit for no limit.

    - `Optional<String> parseConfigId`

      Saved parse configuration ID to control how the document is parsed before extraction

    - `Optional<String> parseTier`

      Parse tier to use before extraction. Defaults to the extract tier if not specified.

    - `Optional<String> systemPrompt`

      Custom system prompt to guide extraction behavior

    - `Optional<String> targetPages`

      Comma-separated page numbers or ranges to process (1-based). Omit to process all pages.

    - `Optional<Tier> tier`

      Extract tier: cost_effective (5 credits/page) or agentic (15 credits/page)

      - `COST_EFFECTIVE("cost_effective")`

      - `AGENTIC("agentic")`

    - `Optional<String> version`

      Use 'latest' for the latest release for the selected tier or a date string (YYYY-MM-DD format) to pin to the nearest release at or before that date.

  - `Optional<String> configurationId`

    Saved extract configuration ID used for this job, if any

  - `Optional<String> errorMessage`

    Error details when status is FAILED

  - `Optional<ExtractJobMetadata> extractMetadata`

    Extraction metadata.

    - `Optional<ExtractedFieldMetadata> fieldMetadata`

      Metadata for extracted fields including document, page, and row level info.

      - `Optional<DocumentMetadata> documentMetadata`

        Per-field metadata keyed by field name from your schema. Scalar fields (e.g. `vendor`) map to a FieldMetadataEntry with citation and confidence. Array fields (e.g. `items`) map to a list where each element contains per-sub-field FieldMetadataEntry objects, indexed by array position. Nested objects contain sub-field entries recursively.

        - `class UnionMember0:`

        - `List<JsonValue>`

        - `String`

        - `double`

        - `boolean`

      - `Optional<List<PageMetadata>> pageMetadata`

        Per-page metadata when extraction_target is per_page

        - `class UnionMember0:`

        - `List<JsonValue>`

        - `String`

        - `double`

        - `boolean`

      - `Optional<List<RowMetadata>> rowMetadata`

        Per-row metadata when extraction_target is per_table_row

        - `class UnionMember0:`

        - `List<JsonValue>`

        - `String`

        - `double`

        - `boolean`

    - `Optional<String> parseJobId`

      Reference to the ParseJob ID used for parsing

    - `Optional<String> parseTier`

      Parse tier used for parsing the document

  - `Optional<ExtractResult> extractResult`

    Extracted data conforming to the data_schema. Returns a single object for per_doc, or an array for per_page / per_table_row.

    - `class UnionMember0:`

      - `class InnerUnionMember0:`

      - `List<JsonValue>`

      - `String`

      - `double`

      - `boolean`

    - `List<UnnamedSchemaWithArrayParent0>`

      - `class UnionMember0:`

      - `List<JsonValue>`

      - `String`

      - `double`

      - `boolean`

  - `Optional<Metadata> metadata`

    Job-level metadata.

    - `Optional<ExtractJobUsage> usage`

      Extraction usage metrics.

      - `Optional<Long> numPagesExtracted`

        Number of pages extracted

### Example

```java
package com.llamacloud_prod.api.example;

import com.llamacloud_prod.api.client.LlamaCloudClient;
import com.llamacloud_prod.api.client.okhttp.LlamaCloudOkHttpClient;
import com.llamacloud_prod.api.models.extract.ExtractCreateParams;
import com.llamacloud_prod.api.models.extract.ExtractV2Job;
import com.llamacloud_prod.api.models.extract.ExtractV2JobCreate;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv();

        ExtractV2JobCreate params = ExtractV2JobCreate.builder()
            .fileInput("dfl-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee")
            .build();
        ExtractV2Job extractV2Job = client.extract().create(params);
    }
}
```

#### Response

```json
{
  "id": "ext-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "created_at": "2019-12-27T18:11:19.117Z",
  "file_input": "dfl-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "project_id": "prj-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "status": "COMPLETED",
  "updated_at": "2019-12-27T18:11:19.117Z",
  "configuration": {
    "data_schema": {
      "foo": {
        "foo": "bar"
      }
    },
    "cite_sources": true,
    "confidence_scores": true,
    "extraction_target": "per_doc",
    "max_pages": 10,
    "parse_config_id": "cfg-11111111-2222-3333-4444-555555555555",
    "parse_tier": "fast",
    "system_prompt": "Extract all monetary values in USD. If a currency is not specified, assume USD.",
    "target_pages": "1,3,5-7",
    "tier": "cost_effective",
    "version": "latest"
  },
  "configuration_id": "cfg-11111111-2222-3333-4444-555555555555",
  "error_message": "error_message",
  "extract_metadata": {
    "field_metadata": {
      "document_metadata": {
        "items": [
          {
            "amount": {
              "citation": [
                {
                  "matching_text": "$10.00",
                  "page": 1
                }
              ],
              "confidence": 1
            },
            "description": {
              "citation": [
                {
                  "matching_text": "$10/month",
                  "page": 1
                }
              ],
              "confidence": 0.998
            }
          }
        ],
        "total": {
          "citation": "bar",
          "confidence": "bar"
        },
        "vendor": {
          "citation": "bar",
          "confidence": "bar",
          "extraction_confidence": "bar",
          "parsing_confidence": "bar"
        }
      },
      "page_metadata": [
        {
          "foo": {
            "foo": "bar"
          }
        }
      ],
      "row_metadata": [
        {
          "foo": {
            "foo": "bar"
          }
        }
      ]
    },
    "parse_job_id": "parse_job_id",
    "parse_tier": "parse_tier"
  },
  "extract_result": {
    "foo": {
      "foo": "bar"
    }
  },
  "metadata": {
    "usage": {
      "num_pages_extracted": 0
    }
  }
}
```