JSON Format: Structured Data for Developers

JSON format exports the complete transcription data as structured JSON, perfect for developers building integrations, custom applications, or data analysis pipelines.

What You Get

• Complete transcription metadata
• Full text content
• Segmented data with timestamps
• Language detection information
• Duration in seconds
• Creation date
• Unique transcription ID
• Original filename

JSON Structure

The JSON export follows this structure:

{
  "id": "transcription_abc123",
  "fileName": "meeting-2025-01-15.mp3",
  "text": "Full transcription text...",
  "language": "en",
  "duration": 1825.45,
  "createdAt": "2025-01-15T10:30:00.000Z",
  "segments": [
    {
      "id": 1,
      "start": 0.0,
      "end": 5.23,
      "text": "Hello everyone and welcome..."
    },
    {
      "id": 2,
      "start": 5.23,
      "end": 9.45,
      "text": "Thank you for having me..."
    }
  ]
}

Field Descriptions

• id - Unique transcription identifier
• fileName - Original uploaded file name
• text - Complete transcription as single string
• language - Detected/selected language code (en, es, fr, etc.)
• duration - Total audio duration in seconds (float)
• createdAt - ISO 8601 timestamp of creation
• segments - Array of timed text segments

Segment Object

Each segment in the segments array contains:

• id - Sequential segment number
• start - Start time in seconds (float)
• end - End time in seconds (float)
• text - Segment text content

Best Use Cases

• API integrations and webhooks
• Custom data processing pipelines
• Analytics and text mining
• Building custom subtitle generators
• Database imports
• Machine learning training data
• Search indexing
• Custom report generation

Processing JSON Data (JavaScript)

// Read and process JSON export
const data = JSON.parse(jsonString);

// Get total duration in minutes
const minutes = Math.floor(data.duration / 60);

// Extract all text
const fullText = data.text;

// Process segments
data.segments.forEach(segment => {
  console.log(`[${segment.start}s] ${segment.text}`);
});

// Filter segments by time range
const firstMinute = data.segments.filter(
  seg => seg.start < 60
);

Processing JSON Data (Python)

import json

# Load JSON file
with open('transcription.json', 'r') as f:
    data = json.load(f)

# Access fields
print(f"File: {data['fileName']}")
print(f"Duration: {data['duration']}s")
print(f"Language: {data['language']}")

# Process segments
for segment in data['segments']:
    print(f"[{segment['start']:.2f}s] {segment['text']}")