Tarification

Produce professional audio narrations automatically with All Voice Lab

Swiftask integrates All Voice Lab to transform your documents, articles, or scripts into high-quality audio files, without a recording studio.

Resultat:

Save valuable time on audio production and offer immersive content to your audiences.

Manual audio production is costly and slow

Recording quality narrations requires time, equipment, and technical skills. For companies, scaling audio content production quickly becomes an operational bottleneck.

Les principaux impacts négatifs :

High production costs: Hiring studios or professional voice actors for every piece of content is a significant recurring expense.
Slow time-to-market: The recording and editing process slows down the publication of your audio content and podcasts.
Difficulty in updating: Changing a single line in an audio script often requires redoing the entire recording process.

Swiftask connects your workflows to All Voice Lab to automate narration. Generate natural-sounding voices from your texts in seconds.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

You write content, find a narrator, book a studio session, wait for the file, review it, then publish. A process that takes days.

With Swiftask + All Voice Lab

As soon as a new document is ready in Swiftask, the AI agent automatically sends it to All Voice Lab. The audio file is generated and stored instantly.

4 steps to automate your narration

ÉTAPE 1 : Define your content source

Connect your text source (CMS, database, documents) to Swiftask.

ÉTAPE 2 : Configure All Voice Lab in Swiftask

Select the voices and narration style directly in the Swiftask interface.

ÉTAPE 3 : Automate the trigger

Set the rules: for every new published content, generate the corresponding narration.

ÉTAPE 4 : Retrieve and publish

The audio file is automatically generated and ready for your platforms.

Intelligent narration features

The AI adapts intonation and pacing according to the content type (article, report, marketing script).

Connecteur cible : L'agent exécute les bonnes actions dans all voice lab selon le contexte de l'événement.
Actions automatisées : Text-to-audio conversion, varied voice selection, style adjustments, direct integration into publishing platforms.
Gouvernance native : All your generated files are centralized and accessible for quick auditing.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-all-voice-lab@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 content strategy

1. Large-scale production

Generate hundreds of audio narrations simultaneously without extra effort.

2. Brand consistency

Use the same professional voice across all your communication channels.

3. Increased accessibility

Offer audio versions of your written content to improve accessibility and engagement.

4. Drastic cost reduction

Eliminate recurring fees associated with external recording studios.

5. Instant updates

Modify your text and regenerate the audio in one click.

Data security

Swiftask applique des standards de sécurité enterprise pour vos automatisations all voice lab.

Data encryption: Your scripts and audio files are protected by robust encryption protocols.
Access management: Control who can configure and access narrations within your organization.

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

RÉSULTATS

Impact on your productivity

Métrique	Avant	Après
Production time	Several days	A few minutes
Cost per narration	High (studio)	Low (AI)
Volume capacity	Limited	Unlimited

Passez à l'action avec all voice lab

Save valuable time on audio production and offer immersive content to your audiences.

Transformez vos écrits en livres audio captivants avec Swiftask et All Voice Lab

Cas d'usage suivant.