Integrate AudioPod AI with Qase to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Test Case in Qase when New Job Completed in Audiopod-ai
Create Test Run in Qase when New Job Completed in Audiopod-ai
Update Test Case in Qase when New Job Completed in Audiopod-ai
Find Test Cases in Qase when New Job Completed in Audiopod-ai
Update Test Run in Qase when New Job Completed in Audiopod-ai
Start from a real workflow other teams are already running.
AudioPod AI
When this happens...
New Job Completed
New Job Failed
Qase
Automatically do this!
Create Test Case
Create Test Run
Update Test Case
Find Test Cases
Update Test Run
Complete Test Run
Create Defect
Find Test Runs
Add Test Result
Update Defect Status
Find Defects
Create Test Case in Qase when New Job Completed in Audiopod-ai
Use this flowCreate Test Run in Qase when New Job Completed in Audiopod-ai
Use this flowUpdate Test Case in Qase when New Job Completed in Audiopod-ai
Use this flowFind Test Cases in Qase when New Job Completed in Audiopod-ai
Use this flowUpdate Test Run in Qase when New Job Completed in Audiopod-ai
Use this flowComplete Test Run in Qase when New Job Completed in Audiopod-ai
Use this flowCreate Defect in Qase when New Job Completed in Audiopod-ai
Use this flowFind Test Runs in Qase when New Job Completed in Audiopod-ai
Use this flowAdd Test Result in Qase when New Job Completed in Audiopod-ai
Use this flowUpdate Defect Status in Qase when New Job Completed in Audiopod-ai
Use this flowEverything you can automate between AudioPod AI and Qase.
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when an AudioPod job finishes successfully, optionally only for chosen job types.
Runs when an AudioPod job fails, optionally only for chosen job types.
Runs when a new test run starts in a chosen project, optionally for a milestone or environment.
Runs when a test run in a chosen project finishes (passed, failed or aborted).
Runs when a new test result is recorded in a chosen project, optionally for one run or status.
Runs when a new defect is logged in a chosen project.
Action is the task that follows automatically within your AudioPod AI integrations.
Turn text into natural speech with a chosen voice, speed, format and language.
Split a song from a link into vocals, drums, bass and other stems with a chosen mode.
Start a transcription of audio or video links, with optional speaker labels and word timestamps.
Clean background noise from audio or video at a link with a chosen quality mode.
Get the status and output links of a speech, transcription, stem or noise removal job.
Get the finished transcript of a transcription job as JSON, text, SRT, VTT or HTML.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
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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AudioPod AI is an AI audio platform for text to speech, transcription with speaker labels, stem separation, noise removal, voice cloning and music generation.
Learn moreQase is a test management platform for organizing manual and automated tests, managing test runs, and tracking software quality across development teams.
Learn moreSign up for a free viaSocket account, then authorize both your AudioPod AI and Qase 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 AudioPod AI and Qase 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 Qase. No coding required.
Yes. You can set up a workflow where AudioPod AI triggers actions in Qase, and a separate workflow where Qase triggers actions in AudioPod AI. 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 AudioPod AI and Qase. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire AudioPod AI and Qase integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.