Qomplement Extract API

The Extract API from Qomplement — 3 operation(s) for extract.

Operations 3

POST /v1/extract Extract Document #
GET /v1/models List Models #
GET /v1/formats List Formats #

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This API
curl "https://apis.io/api/v1/apis/qomplement-extract-api"
All apis
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.

OpenAPI Specification

qomplement-extract-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: StructDatafy API Keys Extract API
  description: Document extraction, PDF filling, and Excel filling API
  version: 1.0.0
servers:
- url: https://developer-api.qomplement.com/v1
  description: Base URL declared by the provider in apis.yml (roadmap#122).
tags:
- name: Extract
paths:
  /v1/extract:
    post:
      tags:
      - Extract
      summary: Extract Document
      description: 'Extract structured data from document(s).


        Returns a clean `fields` dict with extracted key-value data, plus any `tables` found.

        Add `detail=true` for the full AI output (entities, summary, primary/secondary entities).

        Add `chunk_size` to get overlapping text chunks from the raw OCR.


        - Single file <=5 pages: synchronous (200)

        - Multiple files or >5 pages: async job (202), poll via /v1/jobs/{id}'
      operationId: extract_document_v1_extract_post
      requestBody:
        content:
          multipart/form-data:
            schema:
              $ref: '#/components/schemas/Body_extract_document_v1_extract_post'
        required: true
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema: {}
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
  /v1/models:
    get:
      tags:
      - Extract
      summary: List Models
      description: List all available models.
      operationId: list_models_v1_models_get
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema: {}
  /v1/formats:
    get:
      tags:
      - Extract
      summary: List Formats
      description: List all supported file formats grouped by category.
      operationId: list_formats_v1_formats_get
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema: {}
components:
  schemas:
    ValidationError:
      properties:
        loc:
          items:
            anyOf:
            - type: string
            - type: integer
          type: array
          title: Location
        msg:
          type: string
          title: Message
        type:
          type: string
          title: Error Type
      type: object
      required:
      - loc
      - msg
      - type
      title: ValidationError
    Body_extract_document_v1_extract_post:
      properties:
        files:
          items:
            type: string
            format: binary
          type: array
          title: Files
          description: Document file(s) to extract
        model:
          type: string
          title: Model
          description: 'OCR model: qomplement-OCR-v1 (standard) or qomplement-OCR-XL-v1 (high precision)'
          default: qomplement-OCR-v1
        schema:
          anyOf:
          - type: string
          - type: 'null'
          title: Schema
          description: JSON schema of target fields
        output_format:
          type: string
          title: Output Format
          description: 'Output format: json, csv, xml'
          default: json
        detail:
          type: boolean
          title: Detail
          description: Include full AI extraction detail (entities, summary, primary/secondary entities)
          default: false
        chunk_size:
          anyOf:
          - type: integer
          - type: 'null'
          title: Chunk Size
          description: Split OCR text into chunks of this many characters
        chunk_overlap:
          type: integer
          title: Chunk Overlap
          description: Number of overlapping characters between chunks
          default: 0
        webhook_url:
          anyOf:
          - type: string
          - type: 'null'
          title: Webhook Url
          description: Webhook URL for async results
      type: object
      required:
      - files
      title: Body_extract_document_v1_extract_post
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError