Swiftask connects Azure Speech Service to your workflows to transform your audio files into indexed, searchable, and actionable data instantly.
Result:
Stop wasting time listening to your archives. Find precise information in your recordings in seconds.
AI Agents
azure speech service
Connector azure speech service · Secure OAuth 2.0
Meetings, interviews, client calls: your audio data piles up without being leveraged. Without indexing, information remains buried. Searching for a specific point in hours of recordings is impossible, leading to a major knowledge loss for your company.
Main negative impacts:
Loss of critical knowledge
Decisions made during recorded meetings remain inaccessible if they are not transcribed and indexed.
Inability to search
Impossible to find a specific topic or keyword in hundreds of hours of archives.
Manual transcription costs
Manually transcribing every audio file is slow, expensive, and not scalable for an organization.
Swiftask automates your audio content indexing. Thanks to Azure Speech Service, your files are transcribed, analyzed, and indexed in real time, making your archives instantly searchable.
BEFORE / AFTER
Without Swiftask
You have thousands of hours of recordings stored in folders. To find information, you have to manually listen to files one by one. Information is lost or hard to reach.
With Swiftask + Azure Speech Service
As soon as a new audio file is uploaded, Swiftask triggers indexing via Azure Speech. The text is extracted, indexed by topic, and stored. Your database is keyword-searchable.
1
STEP 1 : Create your indexing agent
Configure a Swiftask agent dedicated to analyzing audio files in your workspace.
2
STEP 2 : Connect Azure Speech Service
Activate the Azure Speech Service connector to leverage Microsoft's powerful voice recognition.
3
STEP 3 : Define your sources
Connect your storage (Cloud, email, CRM) so Swiftask automatically processes every new audio recording.
4
STEP 4 : Search and leverage
Use the Swiftask search engine to find information within your indexed transcripts.
The agent analyzes not just text, but also context to categorize your recordings based on your business needs.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-azure-speech-service@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Find any key moment in your audio recordings in seconds.
Transform your dormant archives into an active and useful knowledge base.
Automate transcription and indexing without relying on expensive manual services.
Keep a written and indexed record of all your audio communications for audit needs.
Whether you have 10 or 10,000 hours of audio, Swiftask and Azure process your data without friction.
Swiftask applies enterprise-grade security standards for your azure speech service automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Information search time | Several hours (manual) | A few seconds (AI) |
| Processing cost | High (human) | Low (automated) |
| Leveraged data volume | Low (< 5%) | Total (100%) |
Stop wasting time listening to your archives. Find precise information in your recordings in seconds.