Google Cloud Vision
Analyse images (labels, OCR, objects) with Cloud Vision (Google OAuth2).
OCNORA ships 1 typed Google Cloud Vision operation. Each node has a schema-driven form, input and output tables beside its settings, and is pre-flighted by Workflow Health before your first real run.
Before you connect Google Cloud Vision
- Authentication
- OAuth 2.0
- Credential
- {"client_id", "client_secret", "refresh_token"}
- Connection test
- Available: the stored credential can be checked against the provider when you add it. This is not a record that a test was run or passed.
What you can do with Google Cloud Vision
Operations, grouped by what they do to your data.
Other operations 1
A sample Google Cloud Vision workflow
- 1A core triggerStart the run from a chat, form, manual, schedule, webhook, workflow trigger — no Google Cloud Vision trigger is needed.
- 2Annotate Imagegoogle_vision.annotateDetect labels, text (OCR), objects and more in an image with Cloud Vision.
An outline built from this provider’s node contracts, not a recorded run. Each step’s output fields are available to the next in the field picker.
Every node below has a reference page: what it does, the connection it needs, its config fields with types, constraints and examples, and the shapes it emits.
Google Cloud Vision questions
- How does OCNORA authenticate with Google Cloud Vision?
- With a stored OAuth 2.0 credential, shaped {"client_id", "client_secret", "refresh_token"}. A connection test can check it when you add it.
- What can I automate with Google Cloud Vision?
- 1 typed operation, each with a reference page listing its config fields and the shapes it emits.
- What if the Google Cloud Vision operation I need is not listed?
- Where Google Cloud Vision has an HTTP API, call it from the HTTP node with the same credential, or describe the step to the AI builder, which asks our team for a typed node when one is missing.
- Are there templates that use Google Cloud Vision?
- Not yet. Start from a blank workflow, or describe the workflow to Build with AI.
- How are Google Cloud Vision calls controlled?
- Every call and every run step is audited, runs count against the execution budget, and Workflow Health pre-flights the workflow when you save it.
See your first Google Cloud Vision workflow run.
Book a technical demo. We add the connection, pick a template or describe the workflow to Build with AI, and Workflow Health checks it before it runs.