How to connect Amazon S3 and Straker Verify
Create a New Scenario to Connect Amazon S3 and Straker Verify
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Amazon S3, triggered by another scenario, or executed manually (for testing purposes). In most cases, Amazon S3 or Straker Verify will be your first step. To do this, click "Choose an app," find Amazon S3 or Straker Verify, and select the appropriate trigger to start the scenario.

Add the Amazon S3 Node
Select the Amazon S3 node from the app selection panel on the right.


Amazon S3

Configure the Amazon S3
Click on the Amazon S3 node to configure it. You can modify the Amazon S3 URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Straker Verify Node
Next, click the plus (+) icon on the Amazon S3 node, select Straker Verify from the list of available apps, and choose the action you need from the list of nodes within Straker Verify.


Amazon S3
⚙
Straker Verify

Authenticate Straker Verify
Now, click the Straker Verify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Straker Verify settings. Authentication allows you to use Straker Verify through Latenode.
Configure the Amazon S3 and Straker Verify Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Amazon S3 and Straker Verify Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
⚙
AI Anthropic Claude 3
⚙
Straker Verify
Trigger on Webhook
⚙

Amazon S3
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Amazon S3, Straker Verify, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Amazon S3 and Straker Verify integration works as expected. Depending on your setup, data should flow between Amazon S3 and Straker Verify (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Amazon S3 and Straker Verify
Amazon S3 + Straker Verify + Slack: When a new file is uploaded to an Amazon S3 bucket, trigger the workflow. If the document is verified by Straker Verify, a notification is sent to a specified Slack channel.
Straker Verify + Amazon S3 + Google Sheets: When a document is processed and available in Straker Verify, download the file from Straker Verify, find its location in Amazon S3 using filename matching and log the details, including the S3 location, into a Google Sheet for audit purposes.
Amazon S3 and Straker Verify integration alternatives

About Amazon S3
Automate S3 file management within Latenode. Trigger flows on new uploads, automatically process stored data, and archive old files. Integrate S3 with your database, AI models, or other apps. Latenode simplifies complex S3 workflows with visual tools and code options for custom logic.
Similar apps
Related categories
About Straker Verify
Integrate Straker Verify in Latenode to automate translation quality checks. Flag low-quality translations based on your criteria. Build workflows that automatically re-translate or alert linguists. Use Latenode’s visual editor to connect Straker Verify to your CMS, TMS, or other systems without code, ensuring consistent output and faster localization cycles.
Similar apps
Related categories
See how Latenode works
FAQ Amazon S3 and Straker Verify
How can I connect my Amazon S3 account to Straker Verify using Latenode?
To connect your Amazon S3 account to Straker Verify on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Amazon S3 and click on "Connect".
- Authenticate your Amazon S3 and Straker Verify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically verify translations stored in Amazon S3?
Yes, you can. Latenode automates this, triggering Straker Verify checks when new translated files appear in Amazon S3, saving time and ensuring quality control.
What types of tasks can I perform by integrating Amazon S3 with Straker Verify?
Integrating Amazon S3 with Straker Verify allows you to perform various tasks, including:
- Automatically send translation files from S3 to Straker Verify.
- Trigger verification workflows upon new file uploads to S3 buckets.
- Store verified translation reports back in specific S3 folders.
- Update file metadata in Amazon S3 based on Straker Verify results.
- Send notifications based on verification status.
Can I process very large S3 files using Straker Verify in Latenode?
Yes, Latenode efficiently handles large files from Amazon S3 for processing in Straker Verify, leveraging scalable cloud resources.
Are there any limitations to the Amazon S3 and Straker Verify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits from both Amazon S3 and Straker Verify APIs may apply.
- Complex file formats might require custom parsing logic.
- Real-time verification depends on the size of the translation files.