AI Document Data Extraction API

What it does

Document Extraction lets you send a file or a document URL and receive extracted document data back in a structured response. Choose whether to route the request to azure or apyhub with requested_service, and the API returns a data object containing the corresponding result under azure or apyhub.

Use the /file endpoint when you already have the document bytes ready to upload. The request accepts file, requested_service, and optional Azure settings such as azure_key and azure_endpoint. Use /url when the document is already hosted remotely; send the url, requested_service, and optional Azure configuration inside the azure object, including key, region, endpoint, account_id, and access_token.

Document Extraction is useful when you need to pull text or document content into downstream systems without building your own ingestion layer. For example, you can ingest PDFs from a storage bucket, process invoices or forms from a download link, and hand the returned document payload to search, review, or workflow steps.

The response is intentionally flexible: it returns a top-level data object with either an azure payload or an apyhub payload depending on the service you request. That makes it suitable for integrating document parsing into systems that need a consistent interface while keeping the provider-specific output available.