Connect Transkriptor and BigML
Integrate Transkriptor with BigML to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Anomaly Score in Bigml when New Transcription from Transkriptor
Create Centroid using BigML when New Transcription from Transkriptor
Create Prediction in BigML when New Transcription from Transkriptor
Find Resource in Bigml when New Transcription from Transkriptor
List Sources from BigML when New Transcription from Transkriptor
Popular Transkriptor + BigML flows
Start from a real workflow other teams are already running.
Choose a trigger
Transkriptor
When this happens...
New Transcription
Choose an action
BigML
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Create Anomaly Score in Bigml when New Transcription from Transkriptor
Use this flowCreate Centroid using BigML when New Transcription from Transkriptor
Use this flowCreate Prediction in BigML when New Transcription from Transkriptor
Use this flowFind Resource in Bigml when New Transcription from Transkriptor
Use this flowList Sources from BigML when New Transcription from Transkriptor
Use this flowList Datasets from BigML when New Transcription from Transkriptor
Use this flowList Sample from BigML when New Transcription from Transkriptor
Use this flowList Model from BigML when New Transcription from Transkriptor
Use this flowList Time Series from BigML when New Transcription from Transkriptor
Use this flowList Evaluations from BigML when New Transcription from Transkriptor
Use this flowSupported Triggers & Actions
Everything you can automate between Transkriptor and BigML.
When this happensTriggers
A trigger is an event that starts a workflow.
New Transcription
Receive notifications when transcriptions are complete. If you will select any folder then you will receive notification for that folder only.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Transkriptor integrations.
Transcibe Audio or Video File
Converts spoken content in an audio or video file into text.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
Create Prediction
Predict using a model , logistic regression or deepnets
Find Resource
Finds a resource
List Sources
Get all the sources.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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AI will build it for you
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.
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About Transkriptor
Transkriptor is a powerful transcription service that converts audio and video files into text quickly and accurately. Ideal for professionals, students, and anyone needing reliable transcription services.
Learn more
About BigML
BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
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Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Transkriptor and BigML accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Transkriptor and BigML as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach BigML. No coding required.
Yes. You can set up a workflow where Transkriptor triggers actions in BigML, and a separate workflow where BigML triggers actions in Transkriptor. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Transkriptor and BigML. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Transkriptor and BigML integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
