Tarification

Index your audio content automatically with Azure Speech Service

Swiftask connects Azure Speech Service to your workflows to transform your audio files into indexed, searchable, and actionable data instantly.

Resultat:

Stop wasting time listening to your archives. Find precise information in your recordings in seconds.

Your audio files are black boxes

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.

Les principaux impacts négatifs :

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.

AVANT / APRÈS

Ce qui change avec Swiftask

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.

How to index your audio content in 4 steps

ÉTAPE 1 : Create your indexing agent

Configure a Swiftask agent dedicated to analyzing audio files in your workspace.

ÉTAPE 2 : Connect Azure Speech Service

Activate the Azure Speech Service connector to leverage Microsoft's powerful voice recognition.

ÉTAPE 3 : Define your sources

Connect your storage (Cloud, email, CRM) so Swiftask automatically processes every new audio recording.

ÉTAPE 4 : Search and leverage

Use the Swiftask search engine to find information within your indexed transcripts.

Advanced indexing features

The agent analyzes not just text, but also context to categorize your recordings based on your business needs.

Connecteur cible : L'agent exécute les bonnes actions dans azure speech service selon le contexte de l'événement.
Actions automatisées : High-precision multilingual transcription. Speaker identification. Automatic keyword extraction. Indexing by date, project, or client. Linking with your text documents.
Gouvernance native : All transcripts are stored securely and are directly accessible via the Swiftask search interface.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-azure-speech-service@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Benefits for your productivity

1. Instant search

Find any key moment in your audio recordings in seconds.

2. Data capitalization

Transform your dormant archives into an active and useful knowledge base.

3. Drastic cost reduction

Automate transcription and indexing without relying on expensive manual services.

4. Simplified compliance

Keep a written and indexed record of all your audio communications for audit needs.

5. Total scalability

Whether you have 10 or 10,000 hours of audio, Swiftask and Azure process your data without friction.

Security and privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations azure speech service.

Data encryption: Your audio files and transcripts are protected by end-to-end encryption protocols.
Azure infrastructure: Benefit from enterprise-grade security provided by Azure Speech Service.
Access control: Precisely manage who within your organization has access to indexed transcripts.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Gain operational efficiency

Métrique	Avant	Après
Information search time	Several hours (manual)	A few seconds (AI)
Processing cost	High (human)	Low (automated)
Leveraged data volume	Low (< 5%)	Total (100%)

Passez à l'action avec azure speech service

Stop wasting time listening to your archives. Find precise information in your recordings in seconds.

Modernisez votre SVI avec l'IA grâce à Swiftask et Azure Speech Service

Cas d'usage suivant.