Build/Tools/Audio Transcription
AI-powered5 credits / callPOST /api/v1/tools/transcribe

Audio Transcription

Speech to text via OpenAI Whisper-1

Transcribe any audio file to text. Auto-detects language from 50+ options. Optional word-level timestamps for caption sync. Works on interviews, meetings, podcasts, and voice memos.

How it works

Sends your audio to Whisper-1. Returns transcript, detected language, confidence, duration, and optional per-word and per-segment timestamps.

What you could build

MeetingMemo
Auto-summary for every recorded meeting
$3K–$6K MRR
est. MRR
PodCap
Automatic podcast transcription and caption export
$1K–$4K MRR
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VoiceNotes
Voice memo to structured note for mobile apps
$500–$2K MRR
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Parameters

audiorequired
Audio file — mp3, wav, m4a, webm, flac, ogg — max 25MB· e.g. meeting.mp3
languageoptional
ISO-639-1 language hint to improve accuracy (omit to auto-detect)· e.g. en
timestampsoptional
Return word-level and segment-level timestamps· e.g. true
promptoptional
Context hint to improve accuracy for domain-specific terms· e.g. Technical meeting about API design

Example request

curl
curl -X POST https://aplicious.com/api/v1/tools/transcribe \
  -H "X-API-Key: YOUR_API_KEY" \
  -F "audio=@meeting.mp3" \
  -F "language=en" \
  -F "timestamps=true"

Example response

json
{
  "success": true,
  "data": {
    "text": "Hello, this is a test recording for the APlicious transcription API.",
    "language": "en",
    "language_confidence": 0.99,
    "duration_seconds": 4.2,
    "word_count": 12,
    "segments": [
      { "start": 0.0, "end": 4.2, "text": "Hello, this is a test recording..." }
    ],
    "metadata": { "model": "whisper-1", "processing_ms": 1800 }
  }
}
Ready to use Audio Transcription?

Free plan — 100 calls/month, no credit card.