Chatwork and Google Cloud Speech-To-Text Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Transcribe Chatwork audio messages into text using Google Cloud Speech-To-Text and Latenode's visual editor. Enhance team collaboration, analyze sentiments, and automate summaries affordably with usage-based pricing.

Swap Apps

Chatwork

Google Cloud Speech-To-Text

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect Chatwork and Google Cloud Speech-To-Text

Create a New Scenario to Connect Chatwork and Google Cloud Speech-To-Text

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 Chatwork, triggered by another scenario, or executed manually (for testing purposes). In most cases, Chatwork or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Chatwork or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.

Add the Chatwork Node

Select the Chatwork node from the app selection panel on the right.

+
1

Chatwork

Configure the Chatwork

Click on the Chatwork node to configure it. You can modify the Chatwork URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

+
1

Chatwork

Node type

#1 Chatwork

/

Name

Untitled

Connection *

Select

Map

Connect Chatwork

Sign In

Run node once

Add the Google Cloud Speech-To-Text Node

Next, click the plus (+) icon on the Chatwork node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.

1

Chatwork

+
2

Google Cloud Speech-To-Text

Authenticate Google Cloud Speech-To-Text

Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.

1

Chatwork

+
2

Google Cloud Speech-To-Text

Node type

#2 Google Cloud Speech-To-Text

/

Name

Untitled

Connection *

Select

Map

Connect Google Cloud Speech-To-Text

Sign In

Run node once

Configure the Chatwork and Google Cloud Speech-To-Text Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

1

Chatwork

+
2

Google Cloud Speech-To-Text

Node type

#2 Google Cloud Speech-To-Text

/

Name

Untitled

Connection *

Select

Map

Connect Google Cloud Speech-To-Text

Google Cloud Speech-To-Text Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

Run node once

Set Up the Chatwork and Google Cloud Speech-To-Text 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.
5

JavaScript

6

AI Anthropic Claude 3

+
7

Google Cloud Speech-To-Text

1

Trigger on Webhook

2

Chatwork

3

Iterator

+
4

Webhook response

Save and Activate the Scenario

After configuring Chatwork, Google Cloud Speech-To-Text, 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 Chatwork and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Chatwork and Google Cloud Speech-To-Text (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Chatwork and Google Cloud Speech-To-Text

Chatwork + Google Cloud Speech-To-Text + Google Docs: When a new message is posted in a Chatwork room, the automation checks if the message contains an audio file. If so, it transcribes the audio file using Google Cloud Speech-To-Text and appends the transcript to a specified Google Docs document.

Chatwork + Google Cloud Speech-To-Text + Slack: When a new message with an audio file is posted in a Chatwork room, the audio is transcribed using Google Cloud Speech-To-Text. The transcript is then sent to a specific Slack channel to notify the team.

Chatwork and Google Cloud Speech-To-Text integration alternatives

About Chatwork

Use Chatwork with Latenode to automate team notifications and tasks. Send messages based on triggers from your CRM, database, or other apps. Latenode's visual builder simplifies creating complex workflows. Reduce manual updates, keep your team informed, and improve response times by integrating Chatwork into automated processes.

About Google Cloud Speech-To-Text

Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.

See how Latenode works

FAQ Chatwork and Google Cloud Speech-To-Text

How can I connect my Chatwork account to Google Cloud Speech-To-Text using Latenode?

To connect your Chatwork account to Google Cloud Speech-To-Text on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Chatwork and click on "Connect".
  • Authenticate your Chatwork and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I transcribe Chatwork voicemails automatically?

Yes, you can! Latenode lets you automate this easily. Transcribe voicemails, log the transcripts, and trigger actions based on content, saving valuable time.

What types of tasks can I perform by integrating Chatwork with Google Cloud Speech-To-Text?

Integrating Chatwork with Google Cloud Speech-To-Text allows you to perform various tasks, including:

  • Transcribe audio messages into text for archiving.
  • Analyze sentiment of voice messages via transcription.
  • Create automated summaries of transcribed conversations.
  • Trigger alerts based on keywords in transcribed audio.
  • Store transcribed data into databases for reporting.

How does Latenode handle Chatwork's rate limits efficiently?

Latenode features built-in queue management and error handling, retrying failed requests and optimizing usage to minimize rate limit issues.

Are there any limitations to the Chatwork and Google Cloud Speech-To-Text integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Transcription accuracy depends on audio quality.
  • Large audio files may take longer to process.
  • Google Cloud Speech-To-Text usage incurs separate costs.

Try now