AI & Models · Integration
Google Cloud Vision
Add Google Cloud Vision to your product for your customers, and give your AI agents governed access to it.
Embed a Google Cloud Vision integration so your customers can analyse the images they already hold in your product using their own Google Cloud project, with quota and cost on their account. fastn handles per-customer credentials, retries, and API upkeep, so which detection types you use is configuration rather than a release.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let customers run text detection over uploaded images so your product can index what a scan says.
Detect labels and objects in an image so your product tags or routes it automatically.
Check user-uploaded images for unsafe content before your product publishes them.
Keep image analysis usage per tenant so each customer's quota stays their own.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent reads the text out of an uploaded image before answering a question about it.
An agent labels a batch of images within governed permissions, with calls logged per tenant.
An agent screens an image for unsafe content before a workflow publishes it.
Example prompt
Extract the text from this uploaded receipt image and list the labels the analysis returned.
Set up Google Cloud Vision in 4 steps
- 01Open the Google Cloud Vision connector from your fastn dashboard.
- 02Have each customer authenticate their own Google Cloud project.
- 03Map the detection types and image sources your product uses, then enable actions.
- 04Call them from your product, or expose them to an agent through the MCP server.
Why teams use the Google Cloud Vision integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Google Cloud Vision integration without building it. Your customers connect their own Google Cloud Vision account inside your product and work their models, requests and outputs there, with no per-customer code on your side.
- Handle the part that actually costs time: per-customer keys, quotas and cost attribution matter more than schema here, because every call is billed. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so a Google Cloud Vision update is not your on-call problem.
- One integration serves your product and your agents. The same governed Google Cloud Vision connection powers in-product features and gives AI agents scoped, audited access, so you give your product and your agents a model call each customer pays for themselves without wiring it twice.
Used by these teams
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AmplitudeGoogle Cloud Vision integration FAQ
How do I add a Google Cloud Vision integration to my product?
Enable the Google Cloud Vision connector in your fastn dashboard, then let each customer authenticate their own Google Cloud Vision account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Google Cloud Vision client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Google Cloud Vision account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Google Cloud Vision account and only ever sees their own models, requests and outputs. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this Google Cloud Vision integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent reads the text out of an uploaded image before answering a question about it.
Who maintains the Google Cloud Vision integration?
fastn does. When Google Cloud Vision changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
Whose Google Cloud Vision API key and quota does each call use?
Each customer authorises their own Google Cloud Vision account, so usage, rate limits and cost land on the customer that caused them. You are not metering a shared key and re-billing it, and one heavy customer cannot exhaust another's quota.
Are inputs and outputs auditable?
Yes. Every call is logged per tenant with the call, the input and the result, so an output can be traced back to what produced it. That matters more here than in most integrations, because a generated answer or an extracted field cannot be reconstructed from the request alone.
What can I build with the Google Cloud Vision integration?
A common starting point: run text detection over uploaded images so your product can index what a scan says. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the Google Cloud Vision integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Google Cloud Vision does not change your per-connector cost. You can start free with 3 connected accounts.
Add Google Cloud Vision to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.