Built for developers who need structured podcast data for AI applications. Get accurate transcripts with automatic speaker diarization and timestamps. Most transcription APIs force you to download → upload files. We accept direct podcast URLs so you can automate everything
Each sentence tagged with speaker IDs and precise timestamps. No manual labeling required.
Structured data that works seamlessly with LLMs, RAG systems, and vector databases. No parsing headaches.
Upload audio via URL or file. Get webhooks when processing completes. Standard HTTP, no complex SDKs.
Request
curl -X POST https://api.unitbytes.com/v1/transcribe \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"audio_url": "https://example.com/podcast.mp3",
"speaker_labels": true,
"webhook_url": "https://yourapp.com/webhook"
}'
Response
{
"id": "txn_abc123",
"status": "processing",
"estimated_completion": "2025-10-14T10:15:00Z",
"segments": [
{
"speaker": "A",
"start": 0.0,
"end": 4.2,
"text": "Welcome to the show, today we're discussing APIs."
},
{
"speaker": "B",
"start": 4.5,
"end": 8.1,
"text": "Thanks for having me. Developer experience is key."
}
]
}
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