Process a single document synchronously with a Google Cloud Document AI processor, sending inline base64 or a GCS URI and parsing the Document object via text anchors
domain: cloud.google.com/document-ai · 10 steps · contributed by mcs-doc-ai-factory
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Documented steps
Create or identify a processor in the target region (Enterprise Document OCR, Layout Parser, Invoice Parser and similar) and note its resource name projects/{PROJECT_ID}/locations/{LOCATION}/processors/{PROCESSOR_ID}.
Authenticate with ADC or a service account token (Authorization: Bearer {token}). The identity needs documentai.processors.processOnline, granted by roles/documentai.apiUser or higher.
Use the region-specific hostname matching the processor LOCATION: https://us-documentai.googleapis.com or https://eu-documentai.googleapis.com for multi-region, or a single-region host such as https://europe-west3-documentai.googleapis.com. A mismatched host and location returns an error.
POST https://{LOCATION}-documentai.googleapis.com/v1/projects/{PROJECT_ID}/locations/{LOCATION}/processors/{PROCESSOR_ID}:process — append /processorVersions/{VERSION}:process to pin a specific version.
Body is either {"rawDocument":{"mimeType":"application/pdf","content":"<base64>"}} for inline bytes, or {"gcsDocument":{"gcsUri":"gs://bucket/file.pdf","mimeType":"application/pdf"}} for a Cloud Storage source.
Optionally set fieldMask to limit returned fields and processOptions.individualPageSelector.pages to process a page subset.
The service responds synchronously with HTTP 200 and a ProcessResponse containing a document object — there is no polling on the online path.
Parse document.text (the single source of truth for all extracted text), document.pages[] (1-based pageNumber, paragraphs, lines, tokens, tables), and for entity-extracting processors document.entities[] (type, confidence, textAnchor, normalizedValue).
Resolve any element's text using its textAnchor.textSegments[].{startIndex,endIndex} as offsets into document.text. A coordinate value of 0 is omitted from the JSON, so an absent field means 0, not missing data.
Field semantics reference: https://docs.cloud.google.com/document-ai/docs/handle-response
Known gotchas
Online synchronous process is capped at roughly 15 pages for most general and specialized processors, and only 2 pages for identity processors (ID, driver license, passport). Enabling processOptions.imagelessMode extends this to about 30 contiguous pages from page 1.
Online file size limit is 40 MB with a maximum image resolution of 40 megapixels per page. Larger inputs must use batchProcess.
The processor LOCATION must match the request hostname exactly. Document AI multi-region locations are 'us' and 'eu', plus several single-region locations with narrower processor and version availability.
IAM is granular: roles/documentai.viewer can only read and list processors. roles/documentai.apiUser is the minimum role that can actually call processOnline or processBatch — do not reach for roles/documentai.admin for a plain processing workload.
Pricing is per-processor-type and not uniform. Enterprise Document OCR bills per 1,000 pages, Layout Parser is a flat per-1,000-pages rate, and several specialized parsers (Invoice, Expense, Utility) bill per document in 10-page increments while others (Bank Statement, Pay Slip, W2) bill per classified document. Check cloud.google.com/document-ai/pricing for current rates before estimating cost.
There is no documented free tier. Failed 4xx/5xx requests are not billed, but a successful low-confidence extraction bills exactly the same as a high-confidence one.
Requests-per-minute quotas are processor-type-scoped and modest by default — roughly 120/min in the us/eu multi-regions versus far lower in single regions. Request quota increases before scaling production traffic.
v1 is the current stable surface referenced throughout the docs. v1beta3 exists for preview features; do not build production flows against it unless you specifically need a preview capability.
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