AI Solutions

Diabolocom AI Solutions - Release Notes
Access AI Solutions app
Explore Public API documentation

Subscribe to updates
© 2025 AI Solutions

Technical

Mar 20, 2025

Diabolocom AI public API documentation is now available on Diabolocom Developer page : https://developer.diabolocom.com/

AI App - Public API

App link : AI App

Public API documentation link : AI App

The Public API documentation link is also available in AI App home page and AI models pages.

Description :

  • Parameters required for API use
  • Endpoints and requests description
    • Query parameters
    • Request headers
    • Request body type and content parameters
    • Response body type and content parameters
  • Example requests

(1) Audio -> Dedicated for audio streams

  • (A) Endpoints description
    • api/job/tasks | form-data -> Run AI task based on audio (form-data payload) : Relevant for Standalone use case (audio file import)
    • api/job/tasks | json -> Run AI task based on audio (json payload) : Relevant for Public API Integration with Diabolocom CCaaS (voice) (for performing AI analyses on existing transcription job)
    • api/job/status/{job_id} -> Access AI task job status/results
  • (B) Webhook Callback description -> Relevant for AI results processing (post analysis flows) : Click here for more details
  • (C) Documentation of each AI model for audio -> Available use cases with endpoints listed above

(2) Text -> Dedicated for text streams

  • (A) Endpoints description
  • (B) Webhook Callback description -> Relevant for AI results processing (post analysis flows): Click here for more details
    • Same as for audio. Only difference : Examples provided are relative to AI analyses on text
  • (C) Documentation of each AI model for text -> Available use cases with endpoints listed above
AI App - Public API
AI App - Public API (Audio)
AI App - Public API (Text)
Jul 16, 2024

Release 2024.7.1

Audio encryption is now enabled by default.
Once a file is received on our platform, a unique encryption key is generated and the file is encrypted and stored securely

  • File is decrypted on demand by our distributed inference system while transcribing the audio
  • File is decrypted on demand via API or Interface (frontend) when audio needs to be retrieved