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Voice-to-text for detailed repair logs

Purpose

 1.1. Automate voice-to-text conversion for technicians to generate detailed, searchable repair logs without manual input.
 1.2. Automate real-time repair status updates and documentation for compliance and customer communication.
 1.3. Reduce manual entry, errors, and delays by automating note transcription from spoken input.
 1.4. Enable workflow automation by integrating speech recognition into repair orders for approvals, parts requests, and quality checks.

Trigger Conditions

 2.1. Automatedly triggers when a technician uploads or records a new voice memo in the repair management system.
 2.2. Automates on mobile device voice recording submission associated with a repair ticket.
 2.3. Automatically starts when voice files are detected in assigned cloud storage folders.
 2.4. Scheduled or event-driven automation based on task status change in shop management solutions.

Platform Variants


 3.1. Google Cloud Speech-to-Text
 • API: speech-to-text:recognize
 • Automate configuration with language hint set to “en-US”, enable diarization for multiple speakers.

 3.2. Amazon Transcribe
 • API: StartTranscriptionJob
 • Automator: Upload .wav file to S3, auto-trigger transcription, set vocabulary filter for automotive terms.

 3.3. Microsoft Azure Speech Service
 • Endpoint: BatchTranscription
 • Automate integration with repair system for batch or real-time mode.

 3.4. IBM Watson Speech to Text
 • API: /v1/recognize
 • Automate configuration for keyword spotting, store results in repair log database.

 3.5. AssemblyAI
 • API: POST /v2/transcript
 • Automator uploads voice file, webhook automates notification on completion.

 3.6. Deepgram
 • API: POST /v1/listen
 • Automate with “auto” language, results posted to connected body shop CRM.

 3.7. Rev.ai
 • API: POST /speechtotext/v1/jobs
 • Automater sends jobs via API, repair number as reference.

 3.8. Speechmatics
 • REST endpoint: /v2/jobs
 • Automate diarization, split logs per technician.

 3.9. Otter.ai
 • Feature: Live Notes API
 • Automator pulls notes from meetings or voice input, directly into repair order.

 3.10. Nuance Dragon Speech Recognition
 • Setting: PowerMic Mobile Integration
 • Automate synchronization of dictated notes into EMR platforms or custom repair log system.

 3.11. Descript
 • API: /v1/transcription
 • Automate upload of recordings, pull transcript for automated log entry.

 3.12. Sonix
 • Endpoint: /api/v1/transcriptions
 • Automator reads transcript, pushes summaries into shop dashboard.

 3.13. Trint
 • Feature: Automated Transcription API
 • Automate file fetch, save metadata to job history.

 3.14. Verbit
 • API: /transcription
 • Automate caption file delivery to workflow and reports repository.

 3.15. Voicegain
 • Websocket/REST: /asr/transcribe
 • Automator for instant repair log update on recording end.

 3.16. Speechly
 • Feature: Real-Time ASR API
 • Automate in-app dictation for technicians, update logs in real time.

 3.17. AppTek
 • API: /v1/asr
 • Automate adaptation for specialized auto repair terminology.

 3.18. VoiceBase
 • Endpoint: POST /v2/media
 • Automate output to analytics for inspection process efficiency metrics.

 3.19. Kaldi/ESPnet (Open-Source)
 • Script-Based API Integration
 • Automated on-premise deployment, integrates with in-shop kiosks.

 3.20. Resemble AI
 • API: /v1/projects/{projectId}/transcriptions
 • Automator with language model personalized for shop’s frequent jobs.

Benefits

 4.1. Automates reduction in manual data input time by over 60% per repair order.
 4.2. Automated transcription enables searchable, accurate logs for audits and customer queries.
 4.3. Automating workflow updates via speech boosts technician productivity and compliance.
 4.4. Automatedly improves customer service with real-time job status and history access.
 4.5. Supports automatable SLA monitoring by flagging missing or incomplete repair log entries.

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