1. Image Recognition
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    GET
  1. Image Recognition

PDF Splitting

POST
https://api.gugudata.io/v1/imagerecognition/pdf-splitter
Last modified:2026-05-14 10:39:32

PDF Splitting
Split an uploaded PDF into smaller documents based on the requested page size and packaging options.

Method: POST
Path: /v1/imagerecognition/pdf-splitter
Demo: https://api.gugudata.io/v1/imagerecognition/pdf-splitter/demo
OpenAPI: https://gugudata.io/assets/openapi/gugudata.openapi.3.1.json

Request Parameters:

  • appkey (string, required): Application key used for request authentication. Supply the value as a query parameter, form field, or multipart field according to the request content type.
  • page_size (integer, required): Number of pages per split output file.
  • is_zip (boolean, required): Whether the split PDF output should be packaged as a ZIP archive.
  • file (file, required): Local file uploaded as multipart form data.

Response Fields:

  • dataStatus.statusCode (integer, required): Application-level status code returned by the current v1 contract.
  • dataStatus.status (string, required): Application-level status enum returned by the current v1 contract.
  • dataStatus.statusDescription (string, required): Application-level status message returned by the current v1 contract.
  • dataStatus.responseDateTime (string, required): Response timestamp returned by the current service contract.
  • dataStatus.dataTotalCount (integer, required): Total number of records that match the request.
  • data.uuid (string, required): Unique identifier for the split operation
  • data.num_files (integer, required): Number of files generated after splitting
  • data.pdf_files (array, required): Array of URLs to download the split PDF files or ZIP archive

HTTP Status Codes:

  • 200: Request processed successfully. Some endpoints expose a separate application-level status field in the response body, such as dataStatus.statusCode.
  • 400: Invalid request parameters or request format. Check required fields, data types, and request body format.
  • 401: Missing or unknown application key. Provide a valid appkey with the request.
  • 403: The application key is recognized but access is not allowed. The key may be expired, inactive, or not permitted for the requested API.
  • 429: Request rate or trial usage limit exceeded. Reduce concurrency or retry after the limit window resets.
  • 500: Internal service error. Retry later or contact support if the error persists.
  • 503: Upstream service unavailable. Retry later; the requested upstream dependency is temporarily unavailable.

Business Status Codes:

  • 200 Success: Operation completed successfully
  • 400 Parameter error: Invalid or missing required parameters
  • 401 Invalid APPKEY: Please check if the APPKEY is valid and active
  • 429 Rate limit exceeded: Too many requests in a given time window
  • 500 Server error: Internal server error occurred

Key Features:

  • Split PDF files into smaller documents with customizable page size.
  • Optional ZIP compression for multiple output files.
  • Fast processing with cloud-based infrastructure.
  • Secure file handling with HTTPS support.
  • Distributed CDN for fast file delivery.
  • Support for large PDF files.
  • Automatic file cleanup after processing.
  • RESTful API with JSON responses.

Details:
https://gugudata.io/details/pdf-splitter

Request

Query Params

Body Params multipart/form-data

Request Code Samples

Shell
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HTTP
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Request Request Example
Shell
JavaScript
Java
Swift
curl --location --globoff 'https://api.gugudata.io/v1/imagerecognition/pdf-splitter?appkey=sk-******' \
--form 'page_size="1"' \
--form 'is_zip="false"' \
--form 'file=@"null"'

Responses

🟢200成功
application/json
Bodyapplication/json

Example
{
  "dataStatus": {
    "statusCode": 0,
    "status": "string",
    "statusDescription": "string",
    "responseDateTime": "string",
    "dataTotalCount": 0
  },
  "data": {
    "uuid": "string",
    "num_files": 0,
    "pdf_files": [
      {}
    ]
  },
  "DataStatus": {
    "StatusCode": 100,
    "StatusDescription": "OK",
    "ResponseDateTime": "2026-01-01 00:00:00",
    "DataTotalCount": 1
  }
}
Modified at 2026-05-14 10:39:32
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