Deepinfra AI Services

1 Summary

Deepinfra provides AI model hosting and API access for audio transcription services, specifically meeting recording transcription using open-source language models. Used for converting client meeting recordings to searchable text for operational intelligence and compliance documentation.

2 Support Channels

  • Documentation: deepinfra.com/docs
  • Support Email: support@deepinfra.com
  • Discord Community: Deepinfra Discord Server
  • Status: Service status available through API health endpoints

3 Key Integrations

  • Meeting Transcription: Audio file processing for client meeting recordings
  • Compliance Documentation: Meeting transcripts for regulatory record-keeping
  • Operational Intelligence: Searchable meeting content for client relationship insights
  • Content Analysis: Automated extraction of action items and key discussion points

4 Technical Implementation

  • Authentication: Bearer Token (DEEPINFRA_API_KEY)
  • API Endpoint: https://api.deepinfra.com/v1/openai/audio/transcriptions
  • Model: Voxtral-Small-24B-2507 (default transcription model)
  • Rate Limits: Variable based on model and account tier
  • Data Flow: Audio files → API transcription → text output → document storage
  • Automation: Referenced in process: meeting-transcription, compliance-documentation

5 Transcription Features

  • Multiple Formats: Support for various audio file formats (MP3, WAV, M4A, etc.)
  • High Accuracy: Open-source models optimized for meeting transcription quality
  • Cost Efficiency: Competitive pricing compared to proprietary transcription services
  • Custom Models: Access to specialized models for financial services terminology
  • Batch Processing: Efficient handling of multiple recording files

6 Risk Notes

  • PII Processing: Client meeting recordings contain sensitive personal and financial information
  • Data Retention: Audio files and transcripts require secure storage and retention policies
  • Cost Management: API usage costs scale with meeting volume and audio duration
  • Model Performance: Transcription accuracy varies with audio quality and speaker clarity
  • Compliance Requirements: Meeting transcripts may be subject to regulatory record-keeping rules

7 Operational Dependencies

  • Meeting Recordings: Audio capture from client meetings (Zoom, Teams, etc.)
  • File Processing: Automated audio file preparation and format conversion
  • Document Storage: Secure storage system for transcripts and source recordings
  • Compliance Tracking: Integration with record retention and audit trail systems

8 Processing Workflow

  1. Audio Preparation: Meeting recordings converted to supported format if necessary
  2. API Submission: Files uploaded to Deepinfra transcription endpoint
  3. Quality Validation: Transcript accuracy review and correction if needed
  4. Document Storage: Transcripts stored with meeting metadata and client attribution
  5. Compliance Tagging: Records tagged for retention schedule and audit trail

9 Cost Management

  • Usage Monitoring: Track API costs per meeting and monthly spending
  • Model Optimization: Select appropriate model size for cost vs. accuracy balance
  • Batch Processing: Optimize API calls to minimize per-request overhead
  • Budget Alerts: Automated notifications when usage approaches spending thresholds

10 Privacy and Compliance

  • Data Minimization: Process only necessary meeting recordings, not all audio
  • Retention Policies: Automated deletion of source audio files after transcript validation
  • Access Controls: Restricted access to transcription results based on client confidentiality
  • Audit Logging: Complete tracking of transcription requests and result access
Owner: Ops: Data Processing
Last reviewed: 2025-09-24
SLA: N/A
Controls: ?invalid meta type:ops_controls
Commit: 8f0c18729ae96125ef5caf6824600a75c4928c16