mfrSpeech AI Developer Console

High-performance speech-to-text, speaker diarization, audio intelligence, and mfrSpeech LLM engine.

Click or Drag Audio File

MP3, WAV, M4A, OGG, FLAC (Max 500MB)

Engine Intelligence Features

mfrSpeech AI Model

Real-time Pipeline Ready

No output generated yet. Upload an audio file or record mic to begin processing.

mfrSpeech AI (Audio LLM Engine)

Execute custom LLM prompts, ask questions, or extract action items directly over your audio transcripts.

mfrSpeech Output:

mfrSpeech AI output will appear here.

Code SDK & API Integration

Use the snippets below to integrate mfrSpeech AI Engine seamlessly into your application.


      

mfrSpeech AI API Reference

Official mfrSpeech AI Engine API specifications for audio transcription, speaker diarization, and mfrSpeech LLM.

Method mfrSpeech Endpoint Description Mandatory Headers
POST /api/upload Upload raw audio file binary (buffer / form-data) to CDN storage. X-Mfr-Key (Optional)
POST /api/transcript Submit new transcription request (diarization, sentiment, summary). Content-Type: application/json
GET /api/transcript/:id Fetch transcript status and complete intelligence results (JSON). -
GET /api/transcript/:id/srt Download SRT format subtitle file. -
GET /api/transcript/:id/vtt Download WebVTT format subtitle file. -
POST /api/speechmind/task Execute custom LLM prompt instructions (mfrSpeech AI). Content-Type: application/json
POST /api/speechmind/qa Question-Answering over transcript text (mfrSpeech Q&A). Content-Type: application/json
DELETE /api/transcript/:id Delete transcript resource from server storage. -