Connect Transkriptor and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Transcription
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of Transkriptor and TimescaleDB
Enable Integrations or automations with these events of Transkriptor and TimescaleDB
Triggers
New Transcription
Receive notifications when transcriptions are complete. If you will select any folder then you will receive notification for that folder only.
Actions
Transcibe Audio or Video File
Converts spoken content in an audio or video file into text.
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Frequently Asked Questions
To start, connect both your Transkriptor and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Transkriptor triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how Transkriptor data is recorded in TimescaleDB. This includes choosing which data fields go into which fields of TimescaleDB, setting up custom formats, and filtering out unwanted information.
The data sync between Transkriptor and TimescaleDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Transkriptor and TimescaleDB. 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.
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 MoreAbout TimescaleDB
TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.
Learn More
