Connect 3Scribe and Labelf to Build Intelligent Automations

Choose a Trigger

3Scribe

When this happens...

Choose an Action

Labelf

Automatically do this!

Enable Integrations or automations with these events of 3Scribe and Labelf

Enable Integrations or automations with these events of 3Scribe and Labelf

Triggers

Job Complete

Job Complete

Triggers when a transcription job has completed.

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Actions

Create Transcription Job

Create Transcription Job

Posts a file to 3Scribe to be transcribed

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Frequently Asked Questions

How do I start an integration between 3Scribe and Labelf?

To start, connect both your 3Scribe and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in 3Scribe triggers actions in Labelf (or vice versa).

Can we customize how data from 3Scribe is recorded in Labelf?

Absolutely. You can customize how 3Scribe data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.

How often does the data sync between 3Scribe and Labelf?

The data sync between 3Scribe and Labelf typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from 3Scribe to Labelf?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between 3Scribe and Labelf?

Yes, you can set conditional logic to control the flow of data between 3Scribe and Labelf. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

3Scribe

About 3Scribe

3Scribe is the most accurate, automated text transcription available. We convert audio and video files and give near human accuracy at automated prices.

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Labelf

About Labelf

Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.

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